Sensors in Digital Innovation: Opportunities and Challenges-Salford
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This report explores the impact of sensor technology and Sensor-Based Information Systems (SBIS) within data centers. It defines sensors and SBIS, discusses current considerations and applications of sensors in data centers, and highlights the contributions of SBIS. The report covers the different types of sensors, including embedded, equipment-based, and facility management sensors, and their roles in monitoring temperature, humidity, and overall performance. It also addresses the challenges and opportunities related to SBIS deployment, emphasizing the need for reliable and efficient systems. Furthermore, it reflects on the learning process and the importance of understanding how sensor technology can improve economic, operational, and environmental performance in data centers. The report concludes by pointing out the gaps in academic research and the potential for future research to integrate ICTP and CSSP systems for enhanced value.
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Running head: IMPACT OF SENSORS WITHIN DATA CENTERS
Impact of Sensors within Data Centers
Name of the Student
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Author’s note
Impact of Sensors within Data Centers
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Author’s note
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1IMPACT OF SENSORS WITHIN DATA CENTERS
Table of Contents
1. Introduction..................................................................................................................................2
2. Background..................................................................................................................................2
2.1 Definition of Sensors and SBIS.............................................................................................2
2.2 Current Considerations of Data Centers and use of Sensors.................................................4
2.3 Real and Potential Applications of Sensors within Data Centres..........................................4
2.4 Contributions made by SBIS within Data Centers................................................................5
2.5 Mitigation of Gaps within the Research................................................................................5
2.6 Future Research Considerations............................................................................................6
3. Conclusion...................................................................................................................................6
4. Reflection on Learning based on Sensor Technology.................................................................7
5. References....................................................................................................................................8
Table of Contents
1. Introduction..................................................................................................................................2
2. Background..................................................................................................................................2
2.1 Definition of Sensors and SBIS.............................................................................................2
2.2 Current Considerations of Data Centers and use of Sensors.................................................4
2.3 Real and Potential Applications of Sensors within Data Centres..........................................4
2.4 Contributions made by SBIS within Data Centers................................................................5
2.5 Mitigation of Gaps within the Research................................................................................5
2.6 Future Research Considerations............................................................................................6
3. Conclusion...................................................................................................................................6
4. Reflection on Learning based on Sensor Technology.................................................................7
5. References....................................................................................................................................8

2IMPACT OF SENSORS WITHIN DATA CENTERS
1. Introduction
Data centers are some of the several business facilities that would comprise of different
kinds of platforms. This includes the critical site support platform (CSSP) and information and
communication technology platform (ICTP). The different ICTP includes the equipment based
on telecommunication such as network based equipment, storage devices and various servers.
There are various kinds of regulatory institutions, experimental research and consultants that
have introduced sensor technology and Sensor Based Information Systems (SBIS). The concept
of SBIS have been introduced within the data centers in order to make them environment
friendly and economically sound (Iansiti and Lakhani 2014). Different forms of experimental
research have suggested that SBIS could be used for increasing the efficiency within the data
center airflow management, load within the computer resources, demand management and power
management.
2. Background
2.1 Definition of Sensors and SBIS
A sensor is defined as a small microchip that has the capability of converting any
phenomenon that includes light, motion, sound or heat into any form of electronic signals. This
could be performed with the help of detection and identification of the nature of surroundings.
This also includes identifying the ways in which the devices would be able to communicate with
the gathered information with respect to other systems that would hence be able to manipulate
with that information (Farahani, Wagiran and Hamidon 2014). With the recent forms of
technological advancements, there have been an introduction of new kinds of sensors such as
magnetic sensors, mechanical sensors, thermal sensors, chemical sensors and acoustic sensors.
1. Introduction
Data centers are some of the several business facilities that would comprise of different
kinds of platforms. This includes the critical site support platform (CSSP) and information and
communication technology platform (ICTP). The different ICTP includes the equipment based
on telecommunication such as network based equipment, storage devices and various servers.
There are various kinds of regulatory institutions, experimental research and consultants that
have introduced sensor technology and Sensor Based Information Systems (SBIS). The concept
of SBIS have been introduced within the data centers in order to make them environment
friendly and economically sound (Iansiti and Lakhani 2014). Different forms of experimental
research have suggested that SBIS could be used for increasing the efficiency within the data
center airflow management, load within the computer resources, demand management and power
management.
2. Background
2.1 Definition of Sensors and SBIS
A sensor is defined as a small microchip that has the capability of converting any
phenomenon that includes light, motion, sound or heat into any form of electronic signals. This
could be performed with the help of detection and identification of the nature of surroundings.
This also includes identifying the ways in which the devices would be able to communicate with
the gathered information with respect to other systems that would hence be able to manipulate
with that information (Farahani, Wagiran and Hamidon 2014). With the recent forms of
technological advancements, there have been an introduction of new kinds of sensors such as
magnetic sensors, mechanical sensors, thermal sensors, chemical sensors and acoustic sensors.

3IMPACT OF SENSORS WITHIN DATA CENTERS
The inherent value of sensors primarily lies based on the amount of information that
could be gathered by them in relation to the surrounding environment. The primary role of the
different kinds of sensors include monitoring of the environment based on the detection,
identification, quantification, measurement and location of any object within the range of
detection that are described for each individual sensors (Muro-De-La-Herran et al. 2014).
Drawing up on the roles of Information Systems (IS) and sensors, the present format of research
would be able to define a new form of subfield of IS that is known as Sensor Based Information
System (SBIS).
In the modern times, the use of sensor technology and SBIS are widely been used to
serve major form of purposes in automotive industry, military and building of different forms of
smart applications. Sensor technology are being widely used in military and defense applications
based on performing a wide range of tasks such as surveillance, detection of intrusions and
tracking of unwanted objects (Brynjolfsson and McAfee 2014). The sensors also play a major
form of role within the automotive industry based on serving purposes such as convenience of
the safety of drivers and increasing the performance of the vehicles. The rise of sensor based
technology have led to the rise of different applications based on automotive sensing such as
reverse detection system, air bag triggers, anti-theft detection systems, management of
illumination level, vehicle stability, anti-rollover and GPS navigation systems. In the area of
traffic management, the use of sensor systems would be integrated for the purpose of making
different kinds of sophisticated applications that includes management of lane departure, lane
changing systems and monitoring based on driver vigilance (Krikidis et al. 2014). Sensors that
are used within building applications are primarily integrated with the aid of Building
The inherent value of sensors primarily lies based on the amount of information that
could be gathered by them in relation to the surrounding environment. The primary role of the
different kinds of sensors include monitoring of the environment based on the detection,
identification, quantification, measurement and location of any object within the range of
detection that are described for each individual sensors (Muro-De-La-Herran et al. 2014).
Drawing up on the roles of Information Systems (IS) and sensors, the present format of research
would be able to define a new form of subfield of IS that is known as Sensor Based Information
System (SBIS).
In the modern times, the use of sensor technology and SBIS are widely been used to
serve major form of purposes in automotive industry, military and building of different forms of
smart applications. Sensor technology are being widely used in military and defense applications
based on performing a wide range of tasks such as surveillance, detection of intrusions and
tracking of unwanted objects (Brynjolfsson and McAfee 2014). The sensors also play a major
form of role within the automotive industry based on serving purposes such as convenience of
the safety of drivers and increasing the performance of the vehicles. The rise of sensor based
technology have led to the rise of different applications based on automotive sensing such as
reverse detection system, air bag triggers, anti-theft detection systems, management of
illumination level, vehicle stability, anti-rollover and GPS navigation systems. In the area of
traffic management, the use of sensor systems would be integrated for the purpose of making
different kinds of sophisticated applications that includes management of lane departure, lane
changing systems and monitoring based on driver vigilance (Krikidis et al. 2014). Sensors that
are used within building applications are primarily integrated with the aid of Building
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4IMPACT OF SENSORS WITHIN DATA CENTERS
Management Systems (BMS) based on performing different kinds of tasks that includes
monitoring and perform controlling of cooling, safety, lighting and security systems.
2.2 Current Considerations of Data Centers and use of Sensors
With the rise of different kinds of sensor usage based on the demand of institutions,
information systems and businesses, it could be confirmed that the impact of sensors are majorly
proving to be helpful for supporting the different kinds of operations (Kambatla et al. 2014). The
increasing demand of sensors within the data centers have created a form of need based on larger
kinds of fault tolerance systems, which would be able to meet with the growing demands of the
market. The main purpose would be based on handling of large amount of data and processing of
the data (Liu et al. 2016). This form of increasing demand of sensor based technology within
institutions and businesses for supporting IT technology have thus resulted in the major form of
growth of the volume and size of data centers.
2.3 Real and Potential Applications of Sensors within Data Centres
The impact of sensors could be classified as embedded sensors, equipment based sensors
and facility management sensors. The embedded sensors could be standardized by different
computer manufacturers based on monitoring of temperature and measuring the amount of
humidity of various kinds of internal components of any server. They could also help in
monitoring the performance of the CPU (Gungor et al. 2016). Equipment based sensors are one
form of advanced method based on the utilization of sensors. These sensors could be placed
within many critical areas that would need extra amount of monitoring and thus be able to
increase the efficiency. These kind of sensors would be able to support both of CSSP and ICTP
operations. The facility management sensors could also be standardized based on building
management based sensors. These would be useful for monitoring and thus controlling the
Management Systems (BMS) based on performing different kinds of tasks that includes
monitoring and perform controlling of cooling, safety, lighting and security systems.
2.2 Current Considerations of Data Centers and use of Sensors
With the rise of different kinds of sensor usage based on the demand of institutions,
information systems and businesses, it could be confirmed that the impact of sensors are majorly
proving to be helpful for supporting the different kinds of operations (Kambatla et al. 2014). The
increasing demand of sensors within the data centers have created a form of need based on larger
kinds of fault tolerance systems, which would be able to meet with the growing demands of the
market. The main purpose would be based on handling of large amount of data and processing of
the data (Liu et al. 2016). This form of increasing demand of sensor based technology within
institutions and businesses for supporting IT technology have thus resulted in the major form of
growth of the volume and size of data centers.
2.3 Real and Potential Applications of Sensors within Data Centres
The impact of sensors could be classified as embedded sensors, equipment based sensors
and facility management sensors. The embedded sensors could be standardized by different
computer manufacturers based on monitoring of temperature and measuring the amount of
humidity of various kinds of internal components of any server. They could also help in
monitoring the performance of the CPU (Gungor et al. 2016). Equipment based sensors are one
form of advanced method based on the utilization of sensors. These sensors could be placed
within many critical areas that would need extra amount of monitoring and thus be able to
increase the efficiency. These kind of sensors would be able to support both of CSSP and ICTP
operations. The facility management sensors could also be standardized based on building
management based sensors. These would be useful for monitoring and thus controlling the

5IMPACT OF SENSORS WITHIN DATA CENTERS
humidity and temperature of a particular facility, control the lighting and thus also be able to
support the safety and security based on the entire facility of the data center (Dastjerdi and
Buyya 2016).
2.4 Contributions made by SBIS within Data Centers
Different kinds of technical based studies based on SBIS mainly help in focusing on
bringing innovative form of ideas, newer algorithmic design and bringing innovation within the
architecture. In several cases, the new kinds of innovations that are being made within the use of
sensors would include the proposing of a new form of design. This would be meant for exploring
new kinds of opportunities within SBIS. The development of advanced form of sensor based
systems would be helpful in overcoming the numerous kinds of challenges based on the
deployment of SBIS (Li, Da Xu and Wang 2013). Different researchers in the development of
such kinds of sensors have introduced innovative products that make use of sensor based
technology. These researchers have also implemented the use of sensor technology for
improving the performance of CSSP and also be able to facilitate the collaboration and
integration of CSSP and ICTP.
2.5 Mitigation of Gaps within the Research
The different kinds of studies that are made by the authors and different researchers have
mainly focused on understanding the necessary areas, which could be covered. The use of
valuable studies and a wide form of research on the utilization of SBIS would be helpful in
understanding the advantages that would be provided by sensor technologies. Vast form of
research would be extremely helpful for solving problems or mitigating the amount of gap within
the research studies. The advantages supported by SBIS would be extremely helpful for solving
different kinds of problems and also be able to support the various processes within these data
humidity and temperature of a particular facility, control the lighting and thus also be able to
support the safety and security based on the entire facility of the data center (Dastjerdi and
Buyya 2016).
2.4 Contributions made by SBIS within Data Centers
Different kinds of technical based studies based on SBIS mainly help in focusing on
bringing innovative form of ideas, newer algorithmic design and bringing innovation within the
architecture. In several cases, the new kinds of innovations that are being made within the use of
sensors would include the proposing of a new form of design. This would be meant for exploring
new kinds of opportunities within SBIS. The development of advanced form of sensor based
systems would be helpful in overcoming the numerous kinds of challenges based on the
deployment of SBIS (Li, Da Xu and Wang 2013). Different researchers in the development of
such kinds of sensors have introduced innovative products that make use of sensor based
technology. These researchers have also implemented the use of sensor technology for
improving the performance of CSSP and also be able to facilitate the collaboration and
integration of CSSP and ICTP.
2.5 Mitigation of Gaps within the Research
The different kinds of studies that are made by the authors and different researchers have
mainly focused on understanding the necessary areas, which could be covered. The use of
valuable studies and a wide form of research on the utilization of SBIS would be helpful in
understanding the advantages that would be provided by sensor technologies. Vast form of
research would be extremely helpful for solving problems or mitigating the amount of gap within
the research studies. The advantages supported by SBIS would be extremely helpful for solving
different kinds of problems and also be able to support the various processes within these data

6IMPACT OF SENSORS WITHIN DATA CENTERS
centers. Deep exploration within the study of SBIS technology would also be helpful for the
identification of the necessary areas in which SBIS technology could prove to be useful. The
primary goal of the applications based on SBIS are to develop a reliable, useful and efficient
system that could help in serving the major intended purposes. Hence, different researchers
within this field have properly investigated the impact of SBIS based on the automation of the
operations and business based functions. Research within this field of sensors would also be
helpful for enhancing the performance of different sensor based devices, support the making of
vital decisions, augmentation of human effort and thus also offer an efficient form of real-
monitoring of systems.
2.6 Future Research Considerations
Based on the recent forms of considerations on the impact of sensors within data centers,
it could be discussed that there is a general form of lack within the areas of academic research in
data centers. There is also a lacking area within the applications of SBIS designed for data
centers. Most of the existing trends of research are based on testing of designs based on SBIS
within a simulated environment (Li et al. 2016). The integration of ICTP and CSSP systems
could be defined as the major factors for determining the primary value of the utilization of SBIS
within data centers.
3. Conclusion
Based on the conclusion drawn from the impacts of sensors and Information Systems, the
present form of study would be highlighting the impact of SBIS within data centers. The study
discusses about the ways in which the SBIS would be able to leverage capabilities for the
improvement of economic, operational and environmental performance. This literature has
centers. Deep exploration within the study of SBIS technology would also be helpful for the
identification of the necessary areas in which SBIS technology could prove to be useful. The
primary goal of the applications based on SBIS are to develop a reliable, useful and efficient
system that could help in serving the major intended purposes. Hence, different researchers
within this field have properly investigated the impact of SBIS based on the automation of the
operations and business based functions. Research within this field of sensors would also be
helpful for enhancing the performance of different sensor based devices, support the making of
vital decisions, augmentation of human effort and thus also offer an efficient form of real-
monitoring of systems.
2.6 Future Research Considerations
Based on the recent forms of considerations on the impact of sensors within data centers,
it could be discussed that there is a general form of lack within the areas of academic research in
data centers. There is also a lacking area within the applications of SBIS designed for data
centers. Most of the existing trends of research are based on testing of designs based on SBIS
within a simulated environment (Li et al. 2016). The integration of ICTP and CSSP systems
could be defined as the major factors for determining the primary value of the utilization of SBIS
within data centers.
3. Conclusion
Based on the conclusion drawn from the impacts of sensors and Information Systems, the
present form of study would be highlighting the impact of SBIS within data centers. The study
discusses about the ways in which the SBIS would be able to leverage capabilities for the
improvement of economic, operational and environmental performance. This literature has
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7IMPACT OF SENSORS WITHIN DATA CENTERS
depicted the several advantages of SBIS within data centers and has also discussed the impact of
SBIS on the future research directions in the field of sensor technology.
4. Reflection on Learning based on Sensor Technology
Based on the learning from the impact of sensors on the data centers, I have come to
understand about the ways in which data center would be able to make use of SBIS technology. I
would put major focus on the current considerations that are being made within data centers with
the advent of sensor based technology.
I would also make use of the Gibbs Reflective Cycle in order to frame the topic of
discussion in relation with the impact of sensors within data centers. From the first part of the
cycle, I would be able to describe the major parts that have been learnt by me during conducting
of the research. I would gather facts in relation to the use of sensors within data centers and the
purposes that would be able to get served. During the second stage, I would be able to describe
the situation that could be generated within the data centers and the ways in which sensor based
technology would be able to serve the intended purposes. Based on the description and feelings, I
will be able to evaluate the current situations within the research done on the usage of sensors
within data centers. This would also be helpful for understanding about the positive and negative
form of outcomes from the research. After the conduction of the literature review, I have also
come to understand about the ways in which the different kinds of sensors could affect the
working processes of different kinds of systems within the data centers. There has been an
increasing demand of various institutions and businesses based on support from IT. This has thus
resulted the growth of the business of data centers in relation to their volume and size. Based on
the conclusions drawn, I would be able to take necessary actions based on defining new
strategies on researching within the issues based on sensor technologies.
depicted the several advantages of SBIS within data centers and has also discussed the impact of
SBIS on the future research directions in the field of sensor technology.
4. Reflection on Learning based on Sensor Technology
Based on the learning from the impact of sensors on the data centers, I have come to
understand about the ways in which data center would be able to make use of SBIS technology. I
would put major focus on the current considerations that are being made within data centers with
the advent of sensor based technology.
I would also make use of the Gibbs Reflective Cycle in order to frame the topic of
discussion in relation with the impact of sensors within data centers. From the first part of the
cycle, I would be able to describe the major parts that have been learnt by me during conducting
of the research. I would gather facts in relation to the use of sensors within data centers and the
purposes that would be able to get served. During the second stage, I would be able to describe
the situation that could be generated within the data centers and the ways in which sensor based
technology would be able to serve the intended purposes. Based on the description and feelings, I
will be able to evaluate the current situations within the research done on the usage of sensors
within data centers. This would also be helpful for understanding about the positive and negative
form of outcomes from the research. After the conduction of the literature review, I have also
come to understand about the ways in which the different kinds of sensors could affect the
working processes of different kinds of systems within the data centers. There has been an
increasing demand of various institutions and businesses based on support from IT. This has thus
resulted the growth of the business of data centers in relation to their volume and size. Based on
the conclusions drawn, I would be able to take necessary actions based on defining new
strategies on researching within the issues based on sensor technologies.

8IMPACT OF SENSORS WITHIN DATA CENTERS

9IMPACT OF SENSORS WITHIN DATA CENTERS
5. References
Brynjolfsson, E. and McAfee, A., 2014. The second machine age: Work, progress, and
prosperity in a time of brilliant technologies. WW Norton & Company.
Dastjerdi, A.V. and Buyya, R., 2016. Fog computing: Helping the Internet of Things realize its
potential. Computer, 49(8), pp.112-116.
Farahani, H., Wagiran, R. and Hamidon, M., 2014. Humidity sensors principle, mechanism, and
fabrication technologies: a comprehensive review. Sensors, 14(5), pp.7881-7939.
Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C. and Hancke, G.P., 2013.
A survey on smart grid potential applications and communication requirements. IEEE
Transactions on industrial informatics, 9(1), pp.28-42.
Iansiti, M. and Lakhani, K.R., 2014. Digital ubiquity: How connections, sensors, and data are
revolutionizing business.
Kambatla, K., Kollias, G., Kumar, V. and Grama, A., 2014. Trends in big data analytics. Journal
of Parallel and Distributed Computing, 74(7), pp.2561-2573.
Krikidis, I., Timotheou, S., Nikolaou, S., Zheng, G., Ng, D.W.K. and Schober, R., 2014.
Simultaneous wireless information and power transfer in modern communication systems. IEEE
Communications Magazine, 52(11), pp.104-110.
Li, S., Da Xu, L. and Wang, X., 2013. Compressed sensing signal and data acquisition in
wireless sensor networks and internet of things. IEEE Transactions on Industrial
Informatics, 9(4), pp.2177-2186.
5. References
Brynjolfsson, E. and McAfee, A., 2014. The second machine age: Work, progress, and
prosperity in a time of brilliant technologies. WW Norton & Company.
Dastjerdi, A.V. and Buyya, R., 2016. Fog computing: Helping the Internet of Things realize its
potential. Computer, 49(8), pp.112-116.
Farahani, H., Wagiran, R. and Hamidon, M., 2014. Humidity sensors principle, mechanism, and
fabrication technologies: a comprehensive review. Sensors, 14(5), pp.7881-7939.
Gungor, V.C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C. and Hancke, G.P., 2013.
A survey on smart grid potential applications and communication requirements. IEEE
Transactions on industrial informatics, 9(1), pp.28-42.
Iansiti, M. and Lakhani, K.R., 2014. Digital ubiquity: How connections, sensors, and data are
revolutionizing business.
Kambatla, K., Kollias, G., Kumar, V. and Grama, A., 2014. Trends in big data analytics. Journal
of Parallel and Distributed Computing, 74(7), pp.2561-2573.
Krikidis, I., Timotheou, S., Nikolaou, S., Zheng, G., Ng, D.W.K. and Schober, R., 2014.
Simultaneous wireless information and power transfer in modern communication systems. IEEE
Communications Magazine, 52(11), pp.104-110.
Li, S., Da Xu, L. and Wang, X., 2013. Compressed sensing signal and data acquisition in
wireless sensor networks and internet of things. IEEE Transactions on Industrial
Informatics, 9(4), pp.2177-2186.
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10IMPACT OF SENSORS WITHIN DATA CENTERS
Li, S., Da Xu, L. and Wang, X., 2013. Compressed sensing signal and data acquisition in
wireless sensor networks and internet of things. IEEE Transactions on Industrial
Informatics, 9(4), pp.2177-2186.
Li, S., Dragicevic, S., Castro, F.A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B.,
Haworth, J., Stein, A. and Cheng, T., 2016. Geospatial big data handling theory and methods: A
review and research challenges. ISPRS journal of Photogrammetry and Remote Sensing, 115,
pp.119-133.
Liu, Q., Ma, Y., Alhussein, M., Zhang, Y. and Peng, L., 2016. Green data center with IoT
sensing and cloud-assisted smart temperature control system. Computer Networks, 101, pp.104-
112.
Muro-De-La-Herran, A., Garcia-Zapirain, B. and Mendez-Zorrilla, A., 2014. Gait analysis
methods: An overview of wearable and non-wearable systems, highlighting clinical
applications. Sensors, 14(2), pp.3362-3394.
Li, S., Da Xu, L. and Wang, X., 2013. Compressed sensing signal and data acquisition in
wireless sensor networks and internet of things. IEEE Transactions on Industrial
Informatics, 9(4), pp.2177-2186.
Li, S., Dragicevic, S., Castro, F.A., Sester, M., Winter, S., Coltekin, A., Pettit, C., Jiang, B.,
Haworth, J., Stein, A. and Cheng, T., 2016. Geospatial big data handling theory and methods: A
review and research challenges. ISPRS journal of Photogrammetry and Remote Sensing, 115,
pp.119-133.
Liu, Q., Ma, Y., Alhussein, M., Zhang, Y. and Peng, L., 2016. Green data center with IoT
sensing and cloud-assisted smart temperature control system. Computer Networks, 101, pp.104-
112.
Muro-De-La-Herran, A., Garcia-Zapirain, B. and Mendez-Zorrilla, A., 2014. Gait analysis
methods: An overview of wearable and non-wearable systems, highlighting clinical
applications. Sensors, 14(2), pp.3362-3394.
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