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International Journal of Innovation Engineering and Science Research
Open Access
Volume 2 Issue 1 January 2018 6|P a g e
ABSTRACT
Internet of Things (IoT) and its Challenges for
Usability in Developing Countries
Egemen Hopalı
PhD Program in Engineering Management Department
Institute of Pure and Applied Sciences, Marmara University
Istanbul, Turkey
Özalp Vayvay
Engineering Management Department
Institute of Pure and Applied Sciences, Marmara University
Istanbul, Turkey
In the recent years, Internet of Things (IoT) has acquired a remarkable attention. IoT projects a world where
billions of smart, interacting things are able to offer various services to near and remote entities. This innovative
technology enables users to identify and control services. Customers can benefit from the functional guidance.
Therefore, the voice of customers is transmitted to manufacturers. The benefit and welfare that the IoT brings
about are undeniable; on the other hand, there are some challenges to apply IoT. The main objective of this
study is to reveal the usability challenges of IoT in developing countries through a detailed literature survey.
Keywords—Internet of Things (IoT); innovation; cyber physical systems (CPS); security
I. INTRODUCTION
Internet of Things (IoT) has acquired a remarkable attention in the last decade. This phenomenal
innovation designs a world where billions of smart, interacting things are able to offer wide range of
services to near and remote entities. There is a comfort has shown up with IoT. First advantage is the
fact that smart products are intelligent items. They are able to recognize their production process and
they can communicate with smart machines. Secondly, smart planner can optimize the process in real
time. Finally, the innovative information and communication technologies (ICT) enable humans as
smart operators to control and supervise activities.
Smart products are highly intelligent to plan and dispose tasks. Machine learning, machine to machine
communication, human machine interaction, visualization and data analysis allow cyber physical
systems to create self-learning. They can change production methods when it is necessary in the
factory (Wittenberg, 2016 & Neugebauer et al., 2016).
Kevin Ashton defined IoT for the first time in 1999. This definition claims that ordinary objects can be
combined with the sensors and Radio Frequency Identification Technology (RFID) thereby; things
evolve into internet of things (Ashton, 2009). Despite of this definition, the first application of IoT has
shown up in 1991 with the ―Trojan Room Coffee Pot‖ (Ashton, 2009 & Santucci, 2009). A video
camera was inserted into a coffee machine in order to pursue emptiness. In this way, the liquid level
of the coffee machine was observed. (Lopez de Armentia et al., 2012). RFID plays a key role for IoT
with its pursuit ability through Electronic Product Codes (EPC). Besides, large scale embedded
sensors with 2D codes, common sensor devices and barcodes are well-known tools of IoT. Since
these tools can be addressable and connected to the internet, their data can flow over the computers
connected to internet. These items are able to solve the confusion by perceiving the environment and
communicating with each other. Also, they can provide autonomous response in difficult scenarios
without requiring human intervention (O‘Leary, 2013 & Kopetz, 2011).
Hopalı, E. & Vayvay, Ö. “International Journal of Innovation Engineering and Science Research”
Volume 2 Issue 1 January 2018 7|P a g e
IoT represents the immense digitization of several items in the network structure. Cyber physical
systems (CPS) such as artificial intelligence, robotics and clouds are assigned by IoT in order to
eliminate the gaps between the digital and physical domain. IoT enables integration of numerous
devices, even semi-finished goods. IoT applications are designed to create real time decision making
processes by eliminating central control conditions of analysis. The novelty of this technology is that
there is no need for integrated data process within standard technology. By this way, an ordinary
object can evolve to an intelligent device and equipment in the smart factory can easily and rapidly
communicate with the central control system.
IoT implementations are not just in use at the smart factory, it also influences the daily life of people in
different areas such as agriculture, health, security, logistics, transportation, smart home and cities
(Jing et al., 2014). IoT helps the plant breeding by the scale of humidity and temperature providing the
best conditions for the plant growth (Sato et al., 2016). Automatic climate control systems and
automatically working household appliances are some examples for smart home applications (Mayer,
2009 & Atzori et al., 2010). Especially, wearable technology makes the health track easier. Through
the data obtained from a patient, wrong dose and timing of drugs can be detected. Wearable
technology are transmitted this data to the closest healthcare organization so that prevents life-critical
case. Based on the electronic medical record system, medical image processing analysis and
biomedical signal processing are being used to diagnose possible illness in the future (Fan et al.,
2014 & Ukil et al., 2016). The Blind Navigation System support visually impaired people in the
shopping. According to this system, supermarket separates into cells and RFID tags locates
predetermined places and these tags pin into navigation system. Therefore, WLAN and Bluetooth
technologies can help people (Domingo, 2012 & Lopez de Ipina et al., 2011). IoT contribute the smart
transportation by assigning sensors and actuators on the roads. This makes pursuit of transportation
vehicles possible. Also, sensor technologies benefit from camera and pressure sensors in order to
find and control parking space. Required directive is sent out to driver with SMS or a similar
technology (Tsai et al., 2014).
IoT influence future business network by self-organizing ability and transmission feature of real time
responses among various factories, companies, suppliers, resources, customers and every sort of
organizations. Whole actors can reach maximum profit with limited resources by optimizing their
configuration in real time (Qin et al., 2016).
IoT not only provides innovative changes for daily life of individuals but also makes the life easier and
decreases the restrictions. New approaches and experiments are conducted in order to improve
integration, object recognition and communication.
II. CHALLENGES OF IOT APPLICATIONS IN DEVELOPING COUNTRIES
The benefit and welfare that the IoT brings about are undeniable; however, there are some challenges
to apply IoT. While the world is taking a digital shape, the countries import technology instead of
producing. This approach makes them dependent on designers of digital world. For this reason,
developing countries have to suitable for adoption of new technology. The main objective of this study
is to reveal the usability challenges of IoT in the developing countries.
The speed and method for implementing IoT differs from country to country. The priority of countries
holding high product range is to benefit from flexibility to increase productivity. On the other hand,
quality-focused approach is adopted by countries in order to decrease deficient products. This
approach requires IoT in order to optimize systems through data mining. Contrary to this, developed
countries are focused on increasing automation rate due to the high labor force.
There are some structural hurdles for developing countries to implement IoT. Limited labor force skill
is one of them. This obstacle slows down to adopt new technology. Also, the quality of labor force
differs from industry to industry. Considering that the demand for value-added products increases rest
of the world, low share of value-added products creates another drawback.
IoT practitioners suffer from lack of standardization. Standards evolve day after day so that makes the
implementation of technology complicated. Also, lack of mobility is another challenge faced by IoT
practices. This innovative technology delivers its many services to mobile users (Al-Fuqaha et al.,
2015). Infrastructure is a crucial challenge for developing countries. It is obligatory for IoT applications
to have a higher infrastructure. Therefore, interconnected devices can work efficiently and rapidly
(Botta et al., 2016). Poor internet connectivity shows up as a challenge for developing countries. IoT
uses internet; and for this reason internet network has to spread over whole nation.
Hopalı, E. & Vayvay, Ö. “International Journal of Innovation Engineering and Science Research”
Volume 2 Issue 1 January 2018 8|P a g e
Security issues are critical to implement IoT safely. This challenge is important due to the billions of
devices connected through IoT, it requires an efficient security mechanism. IoT uses all kind of
information and this need to be protected. This issue is more problematic for developing countries due
to the vulnerable systems (Li et al., 2016, Gubbi et al., 2014 & Li et al., 2014). Considering the
connected devices can be easily traced, privacy issues are another challenge (Whitmore et al., 2015).
In this new digital period, developing countries need to have talented engineers. Because of the fact
that comprehensive knowledge of software, design of smart systems, production and design of
intelligent robots are necessary. Thus, talented labor force enables developing countries stronger and
provides the fundamental precaution.
IoT changes the features of workers in the industrial sectors. Companies need to have more
competent labor force in order to manage new production technology and increase their revenue in
the integrated digital world. Automation systems take places of unqualified workers in the production.
Quality and maintenance process are conducted by automation. Due to the changing structure of
labor force, departments integrated with customers such as marketing, sales, automation, information
technologies and R&D should become widespread in the all sorts of companies. Especially, demand
will increase for skillful employers who have comprehensive knowledge on software and competence
on digital systems.
III. CONCLUSION
The benefit and welfare that the IoT brings about are undeniable; on the other hand, there are some
challenges to apply IoT. The main objective of this study is to reveal the usability challenges of IoT in
developing countries through a detailed literature survey. Thanks to this study, developing countries
can detect structural hurdles to implement IoT. Lack of standardization and mobility, weak
infrastructure, security and privacy issues, poor internet connectivity, limited labor force skill and low
share of value-added products are main challenges for usability of IoT in developing countries. The
novelty of this study is to present obstacles to implement high technology in developing countries. It
may help to policy makers and practitioners in understanding and removing challenges in order to
achieve successful IoT adoption.
In the near future, old style factories will be disappeared and smart factories will take place of them.
Smart factory has a conscious and intelligent structure so that enables information exchange. Smart
products are able to connect the whole factory through intelligent actors such as sensors, robots,
conveyors, actuators. Developing countries have to eliminate challenges and adopt new technologies
in this new era. IoT practices are crucial to provide automation and competitive advantage.
Ongoing improvement process of IoT technologies makes the lives of individuals easier. IoT is
important for the comfort of nations but also it is important for the daily life within different perspectives.
This technology proportionally grows based on the market demand and the needs of customers.
REFERENCES
[1] Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M. (2015). Internet of things : A survey on enabling
technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17, 2347-2376.
[2] Ashton, K. (2009). "That ‗internet of things‘ thing," RFiD Journal, 22, 97-114.
[3] Atzori, L., Iera, A., Morabito, G. (2010). The internet of things: A survey. Computer networks, 54, 2787-2805.
[4] Botta, A., Walter, D., Valerio, P., Antonio, P. (2016) ―Integration of cloud computing and internet of things: a survey.‖
Future Generation Computer Systems 56: 684–700.
[5] Domingo, M. C. (2012). An overview of the Internet of Things for people with disabilities. Journal of Network and
Computer Applications, 35, 584-596.
[6] Fan, Y. J., Yin, Y. H., Da Xu, L., Zeng, Y., Wu, F. (2014). IoT based smart rehabilitation system. IEEE transactions on
industrial informatics, 10, 1568-1577.
[7] Gubbi, J., Buyya, B., Marusic, S., Palaniswami, M. (2014). Internet of Things (IoT): A vision, architectural elements, and
future directions. Future Generation Computer Systems, 29, 1645-1660.
[8] Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., Qiu, D. (2014). Security of the internet of things: Perspectives and challenges.
Wireless Networks, 20, 2481-2501.
[9] Kopetz, H. (2011) Internet of things. in Real-time systems, ed: Springer, 307-323.
[10] Li, L., Shancang L., Shanshan, Z. (2014) ―QoS-aware scheduling of services-oriented internet of things.‖IEEE
Transactions on Industrial Informatics 10 (2): 1497–1505.
[11] Li, S., Theo, T., Honglei, L. (2016) ―The internet of things: a security point of view.‖ Internet Research, 26 (2):337–359.
Hopalı, E. & Vayvay, Ö. “International Journal of Innovation Engineering and Science Research”
Volume 2 Issue 1 January 2018 9|P a g e
[12] López de Armentia, J., Casado-Mansilla, D., López de Ipina, D. (2012). "Fighting against vampire appliances through
eco-aware things," in Innovative Mobile and Internet Services in Ubiquitous Computing (IMIS), 2012 Sixth International
Conference. 868-873.
[13] López de Ipiña, D., Lorido, T., López, U. (2011). Indoor navigation and product recognition for blind people assisted
shopping. in International Workshop on Ambient Assisted Living, 33-40.
[14] Mayer, R. E. (2009). Multimedia learning: Cambridge University Press.
[15] Neugebauer, R., Hippmann, S., Leis, M., Landherr, M. (2016). Industrie 4.0- From the perspective of applied research.
49th CIRP Conference on Manufacturing Systems, Procedia CIRP 57, 2-7.
[16] O'Leary, D. E. (2013). BIG DATA‘, THE ‗INTERNET OF THINGS‘AND THE ‗INTERNET OF SIGNS. Intelligent Systems
in Accounting, Finance and Management, 20, 53-65.
[17] Qin, J., Liu, Y., Grosvenor, R. (2016). A categorical framework of manufacturing for Industry 4.0 and beyond. Procedia
CIRP 52, 173-178.
[18] Santucci, G. (2009). From internet of data to internet of things. in Paper for the International Conference on Future
Trends of the Internet.
[19] Sato, H., Kanai, A., Tanimoto, S., Kobayashi, T. (2016). Establishing Trust in the Emerging Era of IoT. in 2016 IEEE
Symposium on Service-Oriented System Engineering (SOSE), 398-406.
[20] Tsai, C., Lai, C., Chiang, M., Yang, L. T. (2014). Data Mining for Internet of Things: A Survey. IEEE Communications
Surveys & Tutorials 16 (1), 77-97.
[21] Ukil, A., Bandyoapdhyay, S., Puri, C., Pal, A. (2016). IoT Healthcare Analytics: The Importance of Anomaly Detection. in
2016 IEEE 30th International Conference on Advanced Information Networking and Applications (AINA). 994-997.
[22] Whitmore, A., Anurag, A., Li, D. X. (2015) ―The Internet of things—a survey of topics and trends.‖Information Systems
Frontiers17(2): 261–274.
[23] Wittenberg, C. (2016). Human-CPS Interaction – requirements and human-machine interaction methods for the Industry
4.0. IFAC-PapersOnLine 49-19, 420-425.

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Internet of Things (IoT) and its Challenges for Usability in Developing Countries

  • 1. International Journal of Innovation Engineering and Science Research Open Access Volume 2 Issue 1 January 2018 6|P a g e ABSTRACT Internet of Things (IoT) and its Challenges for Usability in Developing Countries Egemen Hopalı PhD Program in Engineering Management Department Institute of Pure and Applied Sciences, Marmara University Istanbul, Turkey Özalp Vayvay Engineering Management Department Institute of Pure and Applied Sciences, Marmara University Istanbul, Turkey In the recent years, Internet of Things (IoT) has acquired a remarkable attention. IoT projects a world where billions of smart, interacting things are able to offer various services to near and remote entities. This innovative technology enables users to identify and control services. Customers can benefit from the functional guidance. Therefore, the voice of customers is transmitted to manufacturers. The benefit and welfare that the IoT brings about are undeniable; on the other hand, there are some challenges to apply IoT. The main objective of this study is to reveal the usability challenges of IoT in developing countries through a detailed literature survey. Keywords—Internet of Things (IoT); innovation; cyber physical systems (CPS); security I. INTRODUCTION Internet of Things (IoT) has acquired a remarkable attention in the last decade. This phenomenal innovation designs a world where billions of smart, interacting things are able to offer wide range of services to near and remote entities. There is a comfort has shown up with IoT. First advantage is the fact that smart products are intelligent items. They are able to recognize their production process and they can communicate with smart machines. Secondly, smart planner can optimize the process in real time. Finally, the innovative information and communication technologies (ICT) enable humans as smart operators to control and supervise activities. Smart products are highly intelligent to plan and dispose tasks. Machine learning, machine to machine communication, human machine interaction, visualization and data analysis allow cyber physical systems to create self-learning. They can change production methods when it is necessary in the factory (Wittenberg, 2016 & Neugebauer et al., 2016). Kevin Ashton defined IoT for the first time in 1999. This definition claims that ordinary objects can be combined with the sensors and Radio Frequency Identification Technology (RFID) thereby; things evolve into internet of things (Ashton, 2009). Despite of this definition, the first application of IoT has shown up in 1991 with the ―Trojan Room Coffee Pot‖ (Ashton, 2009 & Santucci, 2009). A video camera was inserted into a coffee machine in order to pursue emptiness. In this way, the liquid level of the coffee machine was observed. (Lopez de Armentia et al., 2012). RFID plays a key role for IoT with its pursuit ability through Electronic Product Codes (EPC). Besides, large scale embedded sensors with 2D codes, common sensor devices and barcodes are well-known tools of IoT. Since these tools can be addressable and connected to the internet, their data can flow over the computers connected to internet. These items are able to solve the confusion by perceiving the environment and communicating with each other. Also, they can provide autonomous response in difficult scenarios without requiring human intervention (O‘Leary, 2013 & Kopetz, 2011).
  • 2. Hopalı, E. & Vayvay, Ö. “International Journal of Innovation Engineering and Science Research” Volume 2 Issue 1 January 2018 7|P a g e IoT represents the immense digitization of several items in the network structure. Cyber physical systems (CPS) such as artificial intelligence, robotics and clouds are assigned by IoT in order to eliminate the gaps between the digital and physical domain. IoT enables integration of numerous devices, even semi-finished goods. IoT applications are designed to create real time decision making processes by eliminating central control conditions of analysis. The novelty of this technology is that there is no need for integrated data process within standard technology. By this way, an ordinary object can evolve to an intelligent device and equipment in the smart factory can easily and rapidly communicate with the central control system. IoT implementations are not just in use at the smart factory, it also influences the daily life of people in different areas such as agriculture, health, security, logistics, transportation, smart home and cities (Jing et al., 2014). IoT helps the plant breeding by the scale of humidity and temperature providing the best conditions for the plant growth (Sato et al., 2016). Automatic climate control systems and automatically working household appliances are some examples for smart home applications (Mayer, 2009 & Atzori et al., 2010). Especially, wearable technology makes the health track easier. Through the data obtained from a patient, wrong dose and timing of drugs can be detected. Wearable technology are transmitted this data to the closest healthcare organization so that prevents life-critical case. Based on the electronic medical record system, medical image processing analysis and biomedical signal processing are being used to diagnose possible illness in the future (Fan et al., 2014 & Ukil et al., 2016). The Blind Navigation System support visually impaired people in the shopping. According to this system, supermarket separates into cells and RFID tags locates predetermined places and these tags pin into navigation system. Therefore, WLAN and Bluetooth technologies can help people (Domingo, 2012 & Lopez de Ipina et al., 2011). IoT contribute the smart transportation by assigning sensors and actuators on the roads. This makes pursuit of transportation vehicles possible. Also, sensor technologies benefit from camera and pressure sensors in order to find and control parking space. Required directive is sent out to driver with SMS or a similar technology (Tsai et al., 2014). IoT influence future business network by self-organizing ability and transmission feature of real time responses among various factories, companies, suppliers, resources, customers and every sort of organizations. Whole actors can reach maximum profit with limited resources by optimizing their configuration in real time (Qin et al., 2016). IoT not only provides innovative changes for daily life of individuals but also makes the life easier and decreases the restrictions. New approaches and experiments are conducted in order to improve integration, object recognition and communication. II. CHALLENGES OF IOT APPLICATIONS IN DEVELOPING COUNTRIES The benefit and welfare that the IoT brings about are undeniable; however, there are some challenges to apply IoT. While the world is taking a digital shape, the countries import technology instead of producing. This approach makes them dependent on designers of digital world. For this reason, developing countries have to suitable for adoption of new technology. The main objective of this study is to reveal the usability challenges of IoT in the developing countries. The speed and method for implementing IoT differs from country to country. The priority of countries holding high product range is to benefit from flexibility to increase productivity. On the other hand, quality-focused approach is adopted by countries in order to decrease deficient products. This approach requires IoT in order to optimize systems through data mining. Contrary to this, developed countries are focused on increasing automation rate due to the high labor force. There are some structural hurdles for developing countries to implement IoT. Limited labor force skill is one of them. This obstacle slows down to adopt new technology. Also, the quality of labor force differs from industry to industry. Considering that the demand for value-added products increases rest of the world, low share of value-added products creates another drawback. IoT practitioners suffer from lack of standardization. Standards evolve day after day so that makes the implementation of technology complicated. Also, lack of mobility is another challenge faced by IoT practices. This innovative technology delivers its many services to mobile users (Al-Fuqaha et al., 2015). Infrastructure is a crucial challenge for developing countries. It is obligatory for IoT applications to have a higher infrastructure. Therefore, interconnected devices can work efficiently and rapidly (Botta et al., 2016). Poor internet connectivity shows up as a challenge for developing countries. IoT uses internet; and for this reason internet network has to spread over whole nation.
  • 3. Hopalı, E. & Vayvay, Ö. “International Journal of Innovation Engineering and Science Research” Volume 2 Issue 1 January 2018 8|P a g e Security issues are critical to implement IoT safely. This challenge is important due to the billions of devices connected through IoT, it requires an efficient security mechanism. IoT uses all kind of information and this need to be protected. This issue is more problematic for developing countries due to the vulnerable systems (Li et al., 2016, Gubbi et al., 2014 & Li et al., 2014). Considering the connected devices can be easily traced, privacy issues are another challenge (Whitmore et al., 2015). In this new digital period, developing countries need to have talented engineers. Because of the fact that comprehensive knowledge of software, design of smart systems, production and design of intelligent robots are necessary. Thus, talented labor force enables developing countries stronger and provides the fundamental precaution. IoT changes the features of workers in the industrial sectors. Companies need to have more competent labor force in order to manage new production technology and increase their revenue in the integrated digital world. Automation systems take places of unqualified workers in the production. Quality and maintenance process are conducted by automation. Due to the changing structure of labor force, departments integrated with customers such as marketing, sales, automation, information technologies and R&D should become widespread in the all sorts of companies. Especially, demand will increase for skillful employers who have comprehensive knowledge on software and competence on digital systems. III. CONCLUSION The benefit and welfare that the IoT brings about are undeniable; on the other hand, there are some challenges to apply IoT. The main objective of this study is to reveal the usability challenges of IoT in developing countries through a detailed literature survey. Thanks to this study, developing countries can detect structural hurdles to implement IoT. Lack of standardization and mobility, weak infrastructure, security and privacy issues, poor internet connectivity, limited labor force skill and low share of value-added products are main challenges for usability of IoT in developing countries. The novelty of this study is to present obstacles to implement high technology in developing countries. It may help to policy makers and practitioners in understanding and removing challenges in order to achieve successful IoT adoption. In the near future, old style factories will be disappeared and smart factories will take place of them. Smart factory has a conscious and intelligent structure so that enables information exchange. Smart products are able to connect the whole factory through intelligent actors such as sensors, robots, conveyors, actuators. Developing countries have to eliminate challenges and adopt new technologies in this new era. IoT practices are crucial to provide automation and competitive advantage. Ongoing improvement process of IoT technologies makes the lives of individuals easier. IoT is important for the comfort of nations but also it is important for the daily life within different perspectives. This technology proportionally grows based on the market demand and the needs of customers. REFERENCES [1] Al-Fuqaha, A., Guizani, M., Mohammadi, M., Aledhari, M., Ayyash, M. (2015). Internet of things : A survey on enabling technologies, protocols, and applications. IEEE Communications Surveys & Tutorials, 17, 2347-2376. [2] Ashton, K. (2009). "That ‗internet of things‘ thing," RFiD Journal, 22, 97-114. [3] Atzori, L., Iera, A., Morabito, G. (2010). The internet of things: A survey. Computer networks, 54, 2787-2805. [4] Botta, A., Walter, D., Valerio, P., Antonio, P. (2016) ―Integration of cloud computing and internet of things: a survey.‖ Future Generation Computer Systems 56: 684–700. [5] Domingo, M. C. (2012). An overview of the Internet of Things for people with disabilities. Journal of Network and Computer Applications, 35, 584-596. [6] Fan, Y. J., Yin, Y. H., Da Xu, L., Zeng, Y., Wu, F. (2014). IoT based smart rehabilitation system. IEEE transactions on industrial informatics, 10, 1568-1577. [7] Gubbi, J., Buyya, B., Marusic, S., Palaniswami, M. (2014). Internet of Things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29, 1645-1660. [8] Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., Qiu, D. (2014). Security of the internet of things: Perspectives and challenges. Wireless Networks, 20, 2481-2501. [9] Kopetz, H. (2011) Internet of things. in Real-time systems, ed: Springer, 307-323. [10] Li, L., Shancang L., Shanshan, Z. (2014) ―QoS-aware scheduling of services-oriented internet of things.‖IEEE Transactions on Industrial Informatics 10 (2): 1497–1505. [11] Li, S., Theo, T., Honglei, L. (2016) ―The internet of things: a security point of view.‖ Internet Research, 26 (2):337–359.
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