Challenges & Opportunities of Wireless Technology in IoT Applications For People

This article evaluates the challenges and opportunities of wireless technology in IoT applications for people. It examines the architecture of wireless networks for smart cities, sensor data collection and irrigation control on vegetable crop, IoT-enabled real-time machine status monitoring approach for cloud manufacturing, IoT-based interactive shopping ecosystem, and sensor/actuator networks in smart homes for supporting elderly and handicapped people. The article discusses the limitations and critical summary of contents of each paper.

Challenges & Opportunities of Wireless
Technology in IoT Applications For
People
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1. Annotation 1:
Article: Hayat, M.S., Kazmi, S.I.A., Hasan, R. and Bhatti, A.H., 2016, March. An architecture
of future wireless network for smart cities by improving 4G LTE wireless network. In Big Data
and Smart City (ICBDSC), 2016 3rd MEC International Conference on (pp. 1-5). IEEE.
Information: The current article evaluates architecture of wireless network that are implemented
for smart cities through the improvement of 4G LTE wireless network.
Limitations: The data collection method in the study poses tremendous challenges as poses as
the primary limitation for the study. The data collection technique used is limited in nature.
Critical Summary of Contents:
This research examines challenges such as wireless mobility, range; signal strength, bandwidth
and so on. The scope of the article examines the affect the quality of the service quality of the 4G
wireless network. In addition, the article focuses on improving the quality of service and
architecture of future of 4G wireless networks by application of wireless infrastructure in smart
cities.
Short Analysis/ Evaluation:
The proposed solution enables telecom companies to increase profits to provide better service to
their customers and to improve intelligent infrastructure intelligent intelligence, sultan intelligent
transport, intelligent parking, information technology and more. Alternatively, improve the
results of the citizens' social life to raise the level of Sultan's countries economy, prosperity and
improvement of the quality of life of people.
In the rapidly growing world of IT, wireless technology plays an important role in human life.
It's hard to live without a wireless connection. Education, economy, communication, economics
have application in wireless technology. Depends heavily on your phone, laptop, iPod or other
device. The 4G Mobile Network Threshold and competing pressure telecommunication operators
to upgrade 3G-4G to better serve customers. 4G LTE radio network, now most
telecommunication services are Oman due to its features. The survey shows that the number of
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users using 4G services in Oman has increased significantly in recent years. Increased demand
for 4G also affects the quality of services. It is therefore necessary to develop new approaches
and technologies to ensure the long-term development of QTE 4G LTE. While IP networks
provide the highest quality services, all telecom operators face problems and difficulties,
consistent wireless coverage, bandwidth, and signal strength for this country.
2. Annotation 2:
Article: Kaewmard, N. and Saiyod, S., 2014, October. Sensor data collection and irrigation
control on vegetable crop using smart phone and wireless sensor networks for smart farm.
In Wireless Sensors (ICWiSE), 2014 IEEE Conference on (pp. 106-112). IEEE.
Information: The scope of the current article examines sensor data collection application across
irrigation control on vegetable crop by applying of wireless sensor and networks smart phone for
smart phones
Limitations: The scope of current paper is purely descriptive in nature and there is no data
collection or analysis included for the same.
Critical Summary of Contents:
The world's biggest challenge in the 21st century is in food. Challenge for smart farms in
particular is rising tremendously. They use agricultural automation systems instead of traditional
ones.
Short Analysis/ Evaluation:
Traditional farming methods have long been outdated. Local methods are very durable but
involve a lot of costs. Current research is a long-term implementation. Sustainable solution for
agricultural automation has been implemented with wireless technology. Agricultural automation
provides many ways to get device information as an environmental sensor. Therefore, we have
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developed a portable measurement technique that includes humidifier, humidity and air
temperature sensor. In addition, wireless sensor networks, irrigation systems store these sensors
for collective purposes. Environmental irrigation system management and intelligent information
system. Automatic irrigation management and manual control via smartphone. Control of
irrigation systems is a method of communication in advance wireless device transmits data to
command control or shutdown irrigation system. He managed to dominate and control the
irrigation system near the roots of the plants. The work is the document does not show the
automation of irrigation systems are suitable for farms to get used to traditional agricultural
instruments for monitoring and control of the smart phone system. The result is cost savings.
Experimental results show 96% of commands and environmental sensitivity. The collection is
98%. The technically necessary for an artificial invention that makes agriculture special is
enhancing with application of wireless technologies. The logical development of agriculture
intelligent vulnerability of agriculture emphasis on precision farming. In addition, Smart Farm is
a problem, with the strengthening of farmers, modern automation and measurement tools
solution, which is the result of knowledge and skills, better service efficiency, quality and profit.
In these areas, technology development, push is on the rise and recent events are getting heavier.
Intelligent agri-environmental research and key issues related to water management. It therefore
has an impact on the environment and water management. In addition, the growth of plants,
measuring water environmental technology, wireless sensor networks and management is much
simpler, cheaper and lower operating costs.
3. Annotation 3
Article: Zhong, R.Y., Wang, L. and Xu, X., 2017. An IoT-enabled Real-time Machine Status
Monitoring Approach for Cloud Manufacturing. Procedia CIRP, 63, pp.709-714.
Information: The scope of this current article examines IoT-enabled Real-time Machine Status
Monitoring Approach for Cloud Manufacturing.
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Limitations: The scope of current paper is purely descriptive in nature and there is no data
collection or analysis. Moreover, a real-time machine status monitoring has been included for
this purpose.
Critical Summary of Contents:
Cloud Manufacturing (CMFG) attracts scientists and specialists. One of the most important
CMFg concepts. The provision of this service is based on the availability of various production
resources.
Short Analysis/ Evaluation:
The article introduces the Internet of Things (IoT). Monitor the computer's status in real time in
terms of resource availability. IoT technologies are looking for RFID technology and wireless
connectivity. Communication realizes the status of the device in real time. Then, the search
information can be displayed using the graphical dashboard after processing different data
models and cloud services on smartphones. An example of feasibility has been presented. In this
case, IoT devices are implemented in the CMfg environment Data first. Second, cloud services
are developed and developed to enable production for end users Actions and behaviors. Thirdly,
the "5w" problems are processed using real-time data and historical data generated by the actual
CMFG sites. Production in the cloud (CMfg), supported by advanced technologies advanced
technologies and concepts are associated with new ones. A production paradigm that allows full
sharing. Production resources for the service. Clouds and Internet (IoT) supports technologies in
CMfg, where you can search for typical resources as employees, machines, materials, logistics
products and production work for intelligent production plants (SMO) so that they can feel and
react with each other in the cloud based on intelligent environment. Typical and A remarkable
example are processed materials / components Radio Frequency Identification (RFID) so that
they can be tracked and tracked in real time. It's on Real-time information; logistics from the
inside or outside. One can easily supervise the installation. In addition, such materials are "or
Information about ingredients in real time, such as availability, location, and the quantity can be
shared with other producers Classes and other companies.
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4. Annotation 4:
Article: Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M. and Yin, B., 2018. Smart Factory of
Industry 4.0: Key Technologies, Application Case, and Challenges. IEEE Access, 6, pp.6505-
6519.
Information: The current paper examines smart factory of industry with uses of technologies,
application cases and challenges.
Limitations: The paper examines descriptive analysis of various smart technology applications
across industries.
Critical Summary of Contents:
The current system imposes a creation of an intelligent mill must be created. Modernization of
the manufacturing industry. Smart plants accept the combination of physical technology and
cyber Technology and integrated former autonomous separate systems in depth much more
complicated and now more. This article introduces a hierarchical structure of an intelligent
factory.
Short Analysis/ Evaluation:
The solutions for turnkey new technologies such as the Internet, large data and cloud services are
discussed in this paper. It is part of the manufacturing process. Finally, the box with chocolate
was used to confirm the key smart factories like one. With the rapid development of electronic
and electronic technology, Information Technology and Advanced Manufacturing Technology,
production method from digital to smart. New, which combines virtual model technology a
Cyber-Physical System (CPS) arrives. For new challenges, the benefits of traditional
manufacturing. The industry has gradually declined because intelligent manufacturing
technology is one in high technology sectors where industrialized countries are high. The United
States has gradually accelerated Re-industrialization and production speed. There has been an
intelligent change in production the deep and sustainable impact of future production worldwide.
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5. Annotation 5:
Article: Khanna, A. and Tomar, R., 2016, October. IoT based interactive shopping ecosystem.
In Next Generation Computing Technologies (NGCT), 2016 2nd International Conference
on (pp. 40-45). IEEE.
Information: The current paper discusses IoT based interactive shopping ecosystem.
Limitations: The limitation of this paper is that, it is highly technical in nature. It cannot be
easily understood by any ordinary person.
Critical Summary of Contents:
Modern IoT has sometimes found its application in almost every area Life and inventory
management are no exception. Currently Warehouse management is becoming more and more
complicated Exponential growth of diversity and the number of both Products and Customers.
Short Analysis/ Evaluation:
The biggest problem is business Owners should optimize inventory management experience and
higher sales and operating costs. With such huge product ranges make it extremely difficult save
the owners to track and monitor product performance Sales, lifetime, costs and customer
reactions. Top works as a solution to this problem. The wireless sensor network (WSN)
combines everything several players in the logistics system. This huge network Compact devices
produce huge amounts of data, in other words Hard to save and handle cloud services is a task
here Challenges and Challenges recording and processing functions. In this document we have
Introducing an Interactive Shopping Model with an Automated Design Available Inventory
Management System (AIMS). Use IoT and cloud amalgam and give real-time time Monitoring
and product management. An algorithm is suggested that represents our system. The proposed
system simulates with the algorithm iFogSim Simulator. This is illustrated for this purpose the
proposed system together with the simulated results.
6. Annotation 6:
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Article: Dengler, S., Awad, A. and Dressler, F., 2007, May. Sensor/actuator networks in smart
homes for supporting elderly and handicapped people. In Advanced Information Networking and
Applications Workshops, 2007, AINAW'07. 21st International Conference on (Vol. 2, pp. 863-
868). IEEE.
Information: The article evaluates Sensor/actuator networks in smart homes for supporting
elderly and handicapped people. This article is important contributor in the field of research for
handicapped people.
Limitations: The paper has several limitations such as it cannot be extended to be used for other
people. It does not throw any light on industry based practice.
Critical Summary of Contents:
Smart Home concept includes different approaches, busy living and working now and in the
future. Different approaches vary in effectiveness Comfort in everyday life, allowing
independent living the elderly and the disabled. The most critical part of this paper includes its
ability to contribute in the domain of handicapped research.
Short Analysis/ Evaluation:
The term everywhere Mark Weiser describes the proliferation of computers and computers
Information technology. The task of smart objects is implemented in everyday objects, the
immediate environment feels. Use different sensors and process this information. This feature
provides a type of artificial intelligence. Data processing and formation of almost all types of
compounds Everyday objects (preferably) transparent and hidden Technology goes from laptops
to smart clothes "intelligent" artificial replacements. Supports user login almost every extension
of his understanding of his life and knowledge Refinement of the capacity and try to compensate
some Disadvantages Challenge smart homes, especially Support for the elderly and the disabled
should be compensated Errors and help the individual to give them a more independent life as
long as possible. In this article has Development of a common architecture for smart home
environments mapped to the experimental setup and finally evaluated. Sensor / actuator networks
(SANET) of a sensor and Actuator nodes: generally communicate with wireless technology.
Perform distributed digitization and commissioning work. In recent years, needs and interest in
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skills SANET has grown. It is obvious that SANETs are heterogeneous Networks with a
completely different sensor and actuator Properties of the node. The basic idea is that the sensor
node Provision of telecommunication infrastructures during the collection and Share information
about the physical environment. You can also locate and in a certain way Navigation problems,
as partially shown in, and is the subject of future research. Although the operators are intended
Decentralized session information is based on decisions Sensor nodes or local systems. For
example, they can offer Management and maintenance for repair or Energy update of the sensor
network. Also actor Nodes are designed to provide mobility, for example, by mobile phone
Sensors and to improve network management through control Mobility In many cases, more
powerful actuators such as Mobile robots are used to meet more complex needs The tasks These
robots are automatic and autonomous machines can move in certain environments probably The
most used robots are robots.
Reference lists
Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M. and Yin, B., 2018. Smart Factory of Industry
4.0: Key Technologies, Application Case, and Challenges. IEEE Access, 6, pp.6505-6519.
9

.Dengler, S., Awad, A. and Dressler, F., 2007, May. Sensor/actuator networks in smart homes for
supporting elderly and handicapped people. In Advanced Information Networking and
Applications Workshops, 2007, AINAW'07. 21st International Conference on (Vol. 2, pp. 863-
868). IEEE.
Hayat, M.S., Kazmi, S.I.A., Hasan, R. and Bhatti, A.H., 2016, March. An architecture of future
wireless network for smart cities by improving 4G LTE wireless network. In Big Data and Smart
City (ICBDSC), 2016 3rd MEC International Conference on (pp. 1-5). IEEE.
Kaewmard, N. and Saiyod, S., 2014, October. Sensor data collection and irrigation control on
vegetable crop using smart phone and wireless sensor networks for smart farm. In Wireless
Sensors (ICWiSE), 2014 IEEE Conference on (pp. 106-112). IEEE.
Khanna, A. and Tomar, R., 2016, October. IoT based interactive shopping ecosystem. In Next
Generation Computing Technologies (NGCT), 2016 2nd International Conference on (pp. 40-
45). IEEE.
Zhong, R.Y., Wang, L. and Xu, X., 2017. An IoT-enabled Real-time Machine Status Monitoring
Approach for Cloud Manufacturing. Procedia CIRP, 63, pp.709-714.
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