Business Intelligence in Internet of Things

This report helps in focusing on the various kinds of concepts that are majorly used in Internet of Things (IoT) and their relation with Business Intelligence (BI) technologies. The research on this study helps in focusing on the impact of business intelligence and the various kinds of relationships among both of these platforms. The study is based on the collection of IoT enabled data and the roles they play in enhancing the quality of life of the people who are involved with the use of these kinds of these form of technologies.

Running head: BUSINESS INTELLIGENCE IN INTERNET OF THINGS
Business Intelligence in Internet of Things
Name of the Student
Name of the University
Author’s note

1BUSINESS INTELLIGENCE IN INTERNET OF THINGS
Table of Contents
1. Introduction..................................................................................................................................2
1.1 Introduction to the Problem and Domain..............................................................................2
2. Literature Review........................................................................................................................4
2.1 The Present State of IoT in Business Intelligence.................................................................4
2.2 Importance of IoT within Business Intelligence....................................................................6
2.3 Benefits of Business Intelligence Technologies in IoT Frameworks....................................7
2.4 Opportunities for the Integration of Business Intelligence and IoT......................................8
3. Annotated Bibliography...............................................................................................................9
4. Research methodology...............................................................................................................12
5. Future Research.........................................................................................................................13
6. Conclusion.................................................................................................................................14
7. Recommendations......................................................................................................................15
8. References..................................................................................................................................17

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Abstract
This report helps in focusing on the various kinds of concepts that are majorly used in Internet of
Things (IoT) and their relation with Business Intelligence (BI) technologies. The research on this
study helps in focusing on the impact of business intelligence and the various kinds of
relationships among both of these platforms. The study is based on the collection of IoT enabled
data and the roles they play in enhancing the quality of life of the people who are involved with
the use of these kinds of these form of technologies. The research is based on the study of the
data collected by the IoT enabled devices. This data could be processed with the help of Business
Analytics or with the use of Business Intelligence technologies. The different forms of impact
based on the IoT enabled data would be needed for understanding the types of analysis based on
the Business Intelligence technologies. With the rise of different forms of platforms based on IoT
connected devices, there have been also a major rise of the need based on the analysis of data.
The report helps in discussing about problem statement that focuses on the relation within
business intelligence and their links with the IoT framework. The report also focuses on the
various challenges within the concerned domain and also provides different forms of
recommendations for the sector.
1. Introduction
1.1 Introduction to the Problem and Domain
In the recent times big data analytics, business intelligence and the IoT enabled technologies
have gained a significant amount of focus in the recent times. These have become the vast form
of trending topics that have been the major form of discussion among the researchers (Riggins &
Wamba, 2015). The rise of smart environment within the business has majorly evolved in the
recent years. This form of environment majorly consists of smart devices that are able to transmit

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real-time data with the help of smart form of networks. The making of various forms of decisions
within the business platforms is a high need in this age.
The making of different forms of decisions is facilitated with the help of greater form of
accuracy. This data would be coupled with the help of relevant form of information. The
improvement in the processes of making of decisions based on business intelligence would help
in the critical form of making decisions within the business processes (Lee & Lee, 2015). The
rise of Business Intelligence with the aid of IoT enabled devices have gained a major form of
importance within various larger organizations. The right form of making of decisions is very
much helpful for the successful form of implementation within the processes of businesses. The
real time analytics and processing of the data would be meaningful for the successful
implementation of work within the business processes. The current form of data would be
helpful in validating the relevance of the data (Shrouf, Ordieres & Miragliotta, 2014).
The structure of the report would help in focusing about the different literatures, which would
focus in understanding about the current structure use of Business Intelligence and their relation
with the IoT based devices. The IoT connected devices would help in gathering a vast form of
data from various sources (Kumar, J. S., & Patel, 2014). This form of data would be based within
the context of the business within various sectors. The study helps in the knowledge about the
ways in which this data would help for improving the business processes and thus help in
promoting the context of the business. Further research within the article would be helpful in
summarizing about the facts in which the challenges within the sector would be mitigated with
the proper form of measures within the context of business with the impact of IoT technology.
The research focuses on the work of different authors and the research that have been conducted
by them. This helps in understanding the ways in which the use of business intelligence would be

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helpful for providing fast form of business decisions (Höller et al., 2014). Hence from the gained
insights from the various discussion, there have been several kinds of recommendations that have
been discussed for the betterment of the use of the technology.
2. Literature Review
2.1 The Present State of IoT in Business Intelligence
The Internet of Things (IoT) could be defined as a form of interconnected devices and various
forms of platforms. These kind of platforms would be embedded with different high
technological based sensors, software and would also have high form of network connectivity.
This would be helpful in enabling the objects for the purpose of collecting vast form of business
related data (Romero & Vernadat, 2016). The collected data would be meant for exchanging
without the physical need of human-to-computer or human-to-human based interaction. Based on
the current state of the impact of IoT within the business platforms, it has been understood that
the use of IoT within the business environment would be helpful for increasing the efficiency
within the business processes and thus be helpful for making various kinds of business related
decisions.

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(Fig 1: Planning of BI with the Impact of IoT in Companies)
The research within the field have focused on the impact of Predictive Analytics technology and
the related concepts. The use of predictive analytics technology helps in the use of different
kinds of techniques such as the use of statistics, machine learning, modelling and simulation,
artificial intelligence and data mining based concepts. These kind of concepts help in the making
of vast form of critical decisions and business procedures for the benefits of the business
(Gandomi & Haider, 2015).
There is also another form of process based within this domain, which is known as prescriptive
analytics within the domain of IoT. The use of prescriptive analytics would help in prescribing
different forms of solutions based within the context of business processes (Abomhara & Køien,
2014) This form of analytics would help in determining that whenever a system would be prone
to get hacked or attacked by different vulnerabilities, the computing systems would

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automatically be able to protect and secure themselves from those vulnerabilities (Delen &
Demirkan, 2013). This would be highly necessary for avoiding the different forms of risks.
(Fig 2: Number of Applications using Business Intelligence)
The use of IoT with the impact of both prescriptive and predictive form of analytics would be
helpful for determining the work within the business sector. Furthermore, the research within this
aspect would be helpful for completely relying on scheduled form of maintenance and thus the
running of different forms of machines until they would fail. They would also be helpful for
predicting different forms of events and risks. They would thus be able to save a considerable
amount of time of the maintenance of the systems (Holsapple, Lee-Post & Pakath, 2014).
2.2 Importance of IoT within Business Intelligence
In the recent times, there have been a major rise in the number of business platforms. These kind
of business platforms help in bringing different forms of changes within the context of the
business. The rise of different kinds of IoT connected devices have helped the businesses to
generate much more amount of data with the passage of time (Li, Da Xu & Zhao, 2015). There

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are several kinds of chances where the consultants of business intelligence would have to work
with larger form of data sets that have been generated with the collection of a vast form of data.
These consultants would have to work with new kinds of techniques within the use of the
business platforms. They would thus be able to store, process and thus analyse the different
forms of data (Wixom et al., 2014). The impact of IoT within the sector of business platforms
would see a major form of growth in the recent decades as there have been major of changes
within the business platforms and the ways in which new kind of data are being generated. The
rise of new form of data have spurred the IoT based platforms to deploy various forms of
technologies that would be able to handle the vast data sets (Wortmann & Flüchter, 2015). With
the rise of these form of sets of data, it would be a major help for the business processes to
continue in the work of development of new kind of knowledge and rapid form of skillsets.
2.3 Benefits of Business Intelligence Technologies in IoT Frameworks
The different forms of benefits that could be defined with the growth of the impact of business
intelligence within the domain of IoT are:
Strategic form of Planning – The use of IoT frameworks have helped the business intelligence
frameworks for forming a strategic based planning of business plans and processes. The strategic
form of planning of business strategies would be majorly be helped by the IoT based methods.
They would also be helpful for capitalizing the inherent strengths by providing various forms of
insights within the context of business (Gubbi et al., 2013).
Consulting and Advertising Services – The adoption of IoT based technologies within a wide
form of industries have helped in gaining significant forms of impacts. The IoT based technology
have majorly helped for the growth of the business and thus gaining significant forms of impacts
(Botta et al., 2016).

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Location Intelligence and Integration of Operational Systems – The use of IoT based
framework have helped in gaining significant forms of focus. There are certain areas in IoT
frameworks such as location based intelligence, in-memory analysis, support from mobile device
that would be able to show a rapid form of growth in increasing the efficiency, revenue of the
business processes and thus increasing the effectiveness of the existing systems.
(Fig 3: Location Intelligence within the use of Business Intelligence)
Optimizing of Asset Performance – With the impact of IoT based devices within the business
intelligence platforms, there have been a vast form of optimizing of the asset performance within
the business. The proper form of identification of the potential form of problems within the
assets of the field, wells and grids could be helpful for optimizing the performance of the
different assets of the organization. The use of data analytics could be helpful for providing

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analyses based on different forms of statistics (Minoli, Sohraby & Occhiogrosso, 2017). The
different kinds of capabilities that would be provided with the help of the systems of business
intelligence could be helpful for enhancing the capacity, reliability and the availability of assets.
This would also help in improving the assets of the organization.
2.4 Opportunities for the Integration of Business Intelligence and IoT
The different forms of opportunities that have been provided with the collaboration of business
intelligence and IoT base frameworks are:
The collaboration of business intelligence and IoT would be helpful for detection of anomaly.
The connection of business intelligence and IoT based solutions would be helpful for the
improvement of the detection of anomaly. This form of tool would be helpful for detecting any
form of suspicious activities that would take place in the business processes. This form of
collaboration would be able to would be helpful for the business to provide different businesses
with monitoring based statistics (Alam et al., 2013). The vast form of collaboration would also
provide the users with individually visualized forms of reports that would be able to get
scheduled according to the needs of the company. They would also enable for the adjustment of
the indicators and the metrics that would be needed to be shown. The use of these kinds of
technologies would be helpful for reducing the considerable amount of time that would be
needed for the preparation of the document. The use of BI and IoT based technologies would
also be able to help in the efficiency of tracking of the inventory (Tao et al., 2014). The
collaboration with the wide use of sensors and scanners would help in calculation of the changes
within the inventory based on real-time analytics.

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3. Annotated Bibliography
Meyer, S., Ruppen, A., & Magerkurth, C. (2013, June). Internet of things-aware process
modeling: integrating IoT devices as business process resources. In International
conference on advanced information systems engineering (pp. 84-98). Springer, Berlin,
Heidelberg.
According to Meyer, Ruppen and Magerkurth, (2013), the internet of things has got a lot of
exposure in the recent years with the several forms of research and practices. RFID, actuators
and the sensors are increasingly being used into the value added applications of the Future
Internet. These technologies are being implemented with the help of the typical iot devices
integrated with dedicated software services. While almost every current works on the integration
of the iot services is focussed on the actual technical implementation, the components as the
resources in the business processes of the traditional erp systems have been left unattended (Del
Giudice, 2016). The paper is destined upon identifying and integrating the IoT resources as a
unique automatic resource type on the business process layer beyond the classical business
process model in order to have an expansion of the future business architectures.
Silva, E. M., & Maló, P. (2014). Iot testbed business model. Advances in Internet of
Things, 4(04), 37.
According to Silva and Maló, (2014), with the recent exposure to the technological advancement
the IoT has been able to generate a lot of hype in the present world. However, in spite of the
huge attention gained in the recent years, the IoT has been able to raise up some of the questions
that include its cost, maintenance, management and the need to provide a concrete justifications
of the same. From another angle it has been said that the IoT technologies highly required to be
proven before the deployment of its services to test and asses the real world IoT solutions

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concerned to several target users (Uchihira, Ishimatsu & Inoue, 2016). This in turn allows an
opportunity to deploy the various modules of IoT with a clear business model that is mainly
focussed on the large and real time research. The paper presents the generic business model for
the IoT test beds that are concerned on providing guidance to the business owners by studying
the business model of the SmartSantander facility. The paper intends to address the various
deployments of the IoT solutions in the development of the business architectures with several
trials.
Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015). Business models for the
Internet of Things. International Journal of Information Management, 35(6), 672-
678.
According to Dijkman et al., (2013), the internet of things is the connection between the between
the objects that are present in the present world with an internet connection. These objects are
generally equipped with sensors and actuators. There are also objects that are related to the
communications in technology. The technology has a massive impact in the fields of
manufacturing, farming, business and healthcare. The impact is considered as positive impact
because it is helpful in the establishment of the new connection with the existing world
applications. It is also helpful in deriving out new connections with the world with the help of
new innovations and new techniques. To accomplish this there lies a high requirement of the new
business models (Zhang & Wen, 2017). The framework of these business models must be
developed using proper techniques and procedures. The frameworks of the business models are
the framework of the system. The motive of this paper is to represent the framework of the
effective business models with relation to the Internet of Things. The business models that are

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very much related to the internet of things have been identified using the literature surveys,
conducted interviews and surveys that conducted within the practitioners.
Larson, D., & Chang, V. (2016). A review and future direction of agile, business
intelligence, analytics and data science. International Journal of Information
Management, 36(5), 700-710.
According to Larson and Chang, (2016), the agile methodologies were first introduced in the
year of 2001. From then practitioners have applied the agile methodologies to various fields of
architecture. This article is focussed on the application of the agile methodologies and also
discusses about the principles of the business intelligence. It can be inferred from this article
about how the application of the agile methodologies has changed the effect of business
intelligence with time relying on the shoulders of the internet of things. Business intelligence has
greatly evolved with the use of the agile methodologies using the internet of things. Business
intelligence has greatly evolved in today’s era because there is a lot of data generated by the
smart devices through the course of the usage of the internet. It has also grown exponentially
with time into a huge amount (Chiu & Wang, 2013). The Big Data has impacted the course of
business intelligence and the use of information. The article pays critical attention to about how
the agile practices with the help of iot has been successful in solving the various problems of
business intelligence.
He, H., Maple, C., Watson, T., Tiwari, A., Mehnen, J., Jin, Y., & Gabrys, B. (2016, July).
The security challenges in the IoT enabled cyber-physical systems and opportunities
for evolutionary computing & other computational intelligence. In Evolutionary
Computation (CEC), 2016 IEEE Congress on(pp. 1015-1021). IEEE.

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According to He et al., (2016), the Internet of Things has been successful in giving rise to a
fourth industrial revolution in the world of business and commercial world. It does so by the
implementation and establishment of connection between the people, processes and data. In
contrast to all this it is inferred from the article is that the cyber security has been facing some
critical challenges with the rise of the internet of things enabled smart devices, connected supply
chain, Big Data produced from several of the IoT devices along with the industry control
systems. Innovative computational mechanisms combined with other computational intelligence
is going to play a role in the context of the cyber security such as the business intelligence fusion
with IoT enabled systems. The articles gives a brief idea about the various implications of the
general security challenges in IoT enabled cyber physical systems and computational
intelligence.
4. Research methodology
The research for the successful completion of this assignment includes the collection of the
various secondary data that are mostly to be found with the help of various sources that include
the research articles, peer reviewed journals, literary articles, research papers, educational
magazines along with the sources from the several social media articles that are available in the
internet. In addition to all these mentioned above the data collected from the research papers will
be critically investigated to understand the meanings of the critical findings of the research
(Taylor, Bogdan & DeVault, 2015). Further, the literary articles will also be investigated in order
to develop a fair idea about the literature gaps based on the finding of these papers. The
investigation of these articles will be done so that all the resources required for the research are
easily available while actually conducting the research. The readily availability of these
resources will provide a fluent flow of work for the conduction of this research (Flick, 2015).

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Relying on the past instances of the several literary articles and the investigation of the findings
from these articles, a successful development of the framework in the research for the Internet of
Things on Business Intelligence can be formed.
5. Future Research
With the fast acceptance of the IoT technology in the present world, it is evident that there is a
serious turnaround of the ordinary life. Life has become very much smooth with the applications
of the Internet of Things. The serious combination with the business intelligence in the
commercial field will not only allow the business solutions to be fluent among the various
sectors of the commercial world but will also allow to have a maintenance in a static workflow
between the technology and the concerned world (Behmann & Wu, 2015). Presently it has been
observed that the IoT tools for business have started to gain fame and the popularity. The
purpose of this research was to show how the internet of things along with the collaboration with
the business intelligence would be able to have a positive impact in the commercial world
(Laursen & Thorlund, 2016). With this research, it has also been shown how the various intricate
modules of the IoT will be able to provide effective solutions to the business world circumfusing
the profitability and the generic evolution of the business sectors. The research further intends to
work on the different processes involving the different modules of internet of things with the
integration of the cloud computing facilities and services. The integration of the cloud computing
and its services will be chosen to provide a further boost to the effectiveness of the business
process solutions (Dar et al., 2015). In addition to that, the cloud computing services will allow
the various sectors of the business and the commercial sectors to have substantial grip on the data
generated by the system IoT enabled devices.

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6. Conclusion
From the above sections of this research and the various findings gathered from the secondary
sources such as several literary articles and the peer reviewed journals, it can be concluded that
internet of things have largely impacted the different processes of business with collaboration of
the business intelligence in the field of commerce and the sectors relating to it. The deployments
of the IoT related technologies and the IoT centric applications are being launched everyday with
the various forms of innovative techniques and newly formed developments. However, the
collaboration of the internet of things along the primordial coastlines of business is still in the
stage of processing and interim workouts. Different new techniques are being introduced every
day that proves that the technology in the modern era is not in a state of constant but is rapidly
improving with the provided timeframes and the architectural domains of the technological
world. With the implementation of the internet of things services, the companies will be able to
have a successful grip on their insights and valuable data. The IoT test beds provide an excellent
platform to carry out the various experiments that are to be further implemented within the real
timeframes and executed with the real type of situations.
This research proposal is provided with a combination of the annotated bibliography in the form
of five peer reviewed articles. These articles help to develop a fair idea about the different
implications of the internet of things associated with the various modules of business. The
articles provide an excellent platform to cater the outlooks of the internet of things based devices
and its applications in the world of commerce and business. The research methodology speaks
about the processes through which data will be collected. Recommendations with respect to the
findings of the research has also been provided with the future works of the research.

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7. Recommendations
This research is aimed towards the successful implementation of the internet of things in
business intelligence. From the findings of the secondary data collected from the various
secondary sources such as the literary papers and the peer reviewed journals it is evident that
internet of things has a huge implication in the thriving evolution of the business intelligence in
the world of business and the commercial sector. The internet of things has been largely
embraced by both the corporate world and the business sectors that are large in nature. Although
there have been problems being faced by the various small and medium scale enterprises, the
internet of things has been able to provide with almost every solutions to the various fields of the
business sectors. The implications of IoT in business intelligence include the collections of data
by the internet of things along with the processing of data by the business intelligence. The
internet of things in collaboration with the business intelligence software solutions is helpful in
prospering the business and help in flourishing the business. The collaboration aims to improve
data safety, make smart decisions and reduction of the costs. Therefore, it is recommended that
the internet of things must be implemented to improve the business intelligence experience. It is
also recommended that the solutions provided by the internet of things solutions is carefully
analysed before its implementation in the business models.

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8. References
Abomhara, M., & Køien, G. M. (2014, May). Security and privacy in the Internet of Things:
Current status and open issues. In Privacy and Security in Mobile Systems (PRISMS),
2014 International Conference on (pp. 1-8). IEEE.
Alam, M., Nielsen, R. H., & Prasad, N. R. (2013, July). The evolution of M2M into IoT.
In Communications and Networking (BlackSeaCom), 2013 First International Black Sea
Conference on (pp. 112-115). IEEE.
Behmann, F., & Wu, K. (2015). Collaborative internet of things (C-IoT): For future smart
connected life and business. John Wiley & Sons.
Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and
internet of things: a survey. Future Generation Computer Systems, 56, 684-700.
Chiu, H. H., & Wang, M. S. (2013). A study of iot-aware business process
modeling. International Journal of Modeling and Optimization, 3(3), 238.
Dar, K., Taherkordi, A., Baraki, H., Eliassen, F., & Geihs, K. (2015). A resource oriented
integration architecture for the internet of things: A business process
perspective. Pervasive and Mobile Computing, 20, 145-159.
Del Giudice, M. (2016). Discovering the Internet of Things (IoT): technology and business
process management, inside and outside the innovative firms. Business Process
Management Journal, 22(2).
Delen, D., & Demirkan, H. (2013). Data, information and analytics as services.

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Dijkman, R. M., Sprenkels, B., Peeters, T., & Janssen, A. (2015). Business models for the
Internet of Things. International Journal of Information Management, 35(6), 672-678.
Flick, U. (2015). Introducing research methodology: A beginner's guide to doing a research
project. Sage.
Gandomi, A., & Haider, M. (2015). Beyond the hype: Big data concepts, methods, and
analytics. International Journal of Information Management, 35(2), 137-144.
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of Things (IoT): A vision,
architectural elements, and future directions. Future generation computer systems, 29(7),
1645-1660.
He, H., Maple, C., Watson, T., Tiwari, A., Mehnen, J., Jin, Y., & Gabrys, B. (2016, July). The
security challenges in the IoT enabled cyber-physical systems and opportunities for
evolutionary computing & other computational intelligence. In Evolutionary
Computation (CEC), 2016 IEEE Congress on(pp. 1015-1021). IEEE.
Höller, J., Boyle, D., Karnouskos, S., Avesand, S., Mulligan, C., & Tsiatsis, V. (2014). From
machine-to-machine to the internet of things (pp. 1-331). Cambridge: Academic Press.
Holsapple, C., Lee-Post, A., & Pakath, R. (2014). A unified foundation for business
analytics. Decision Support Systems, 64, 130-141.
Kumar, J. S., & Patel, D. R. (2014). A survey on internet of things: Security and privacy
issues. International Journal of Computer Applications, 90(11).

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Larson, D., & Chang, V. (2016). A review and future direction of agile, business intelligence,
analytics and data science. International Journal of Information Management, 36(5),
700-710.
Laursen, G. H., & Thorlund, J. (2016). Business analytics for managers: Taking business
intelligence beyond reporting. John Wiley & Sons.
Lee, I., & Lee, K. (2015). The Internet of Things (IoT): Applications, investments, and
challenges for enterprises. Business Horizons, 58(4), 431-440.
Li, S., Da Xu, L., & Zhao, S. (2015). The internet of things: a survey. Information Systems
Frontiers, 17(2), 243-259.
Meyer, S., Ruppen, A., & Magerkurth, C. (2013, June). Internet of things-aware process
modeling: integrating IoT devices as business process resources. In International
conference on advanced information systems engineering (pp. 84-98). Springer, Berlin,
Heidelberg.
Minoli, D., Sohraby, K., & Occhiogrosso, B. (2017). IoT considerations, requirements, and
architectures for smart buildings—Energy optimization and next-generation building
management systems. IEEE Internet of Things Journal, 4(1), 269-283.
Riggins, F. J., & Wamba, S. F. (2015, January). Research directions on the adoption, usage, and
impact of the internet of things through the use of big data analytics. In System Sciences
(HICSS), 2015 48th Hawaii International Conference on (pp. 1531-1540). IEEE.
Romero, D., & Vernadat, F. (2016). Enterprise information systems state of the art: Past, present
and future trends. Computers in Industry, 79, 3-13.

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Shrouf, F., Ordieres, J., & Miragliotta, G. (2014, December). Smart factories in Industry 4.0: A
review of the concept and of energy management approached in production based on the
Internet of Things paradigm. In Industrial Engineering and Engineering Management
(IEEM), 2014 IEEE International Conference on (pp. 697-701). IEEE.
Silva, E. M., & Maló, P. (2014). Iot testbed business model. Advances in Internet of
Things, 4(04), 37.
Tao, F., Zuo, Y., Da Xu, L., & Zhang, L. (2014). IoT-based intelligent perception and access of
manufacturing resource toward cloud manufacturing. IEEE Trans. Industrial
Informatics, 10(2), 1547-1557.
Taylor, S. J., Bogdan, R., & DeVault, M. (2015). Introduction to qualitative research methods: A
guidebook and resource. John Wiley & Sons.
Uchihira, N., Ishimatsu, H., & Inoue, K. (2016, September). IoT service business ecosystem
design in a global, competitive, and collaborative environment. In Management of
Engineering and Technology (PICMET), 2016 Portland International Conference on (pp.
1195-1201). IEEE.
Wixom, B., Ariyachandra, T., Douglas, D. E., Goul, M., Gupta, B., Iyer, L. S., ... & Turetken, O.
(2014). The current state of business intelligence in academia: The arrival of big
data. CAIS, 34, 1.
Wortmann, F., & Flüchter, K. (2015). Internet of things. Business & Information Systems
Engineering, 57(3), 221-224.

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Zhang, Y., & Wen, J. (2017). The IoT electric business model: Using blockchain technology for
the internet of things. Peer-to-Peer Networking and Applications, 10(4), 983-994.