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Introduction to IoT (2312.06689v2)

Published 9 Dec 2023 in cs.CR

Abstract: The Internet of Things has rapidly transformed the 21st century, enhancing decision-making processes and introducing innovative consumer services such as pay-as-you-use models. The integration of smart devices and automation technologies has revolutionized every aspect of our lives, from health services to the manufacturing industry, and from the agriculture sector to mining. Alongside the positive aspects, it is also essential to recognize the significant safety, security, and trust concerns in this technological landscape. This chapter serves as a comprehensive guide for newcomers interested in the IoT domain, providing a foundation for making future contributions. Specifically, it discusses the overview, historical evolution, key characteristics, advantages, architectures, taxonomy of technologies, and existing applications in major IoT domains. In addressing prevalent issues and challenges in designing and deploying IoT applications, the chapter examines security threats across architectural layers, ethical considerations, user privacy concerns, and trust-related issues. This discussion equips researchers with a solid understanding of diverse IoT aspects, providing a comprehensive understanding of IoT technology along with insights into the extensive potential and impact of this transformative field.

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References (148)
  1. O. Vermesan, P. Friess, P. Guillemin, S. Gusmeroli, H. Sundmaeker, A. Bassi, I. S. Jubert, M. Mazura, M. Harrison, M. Eisenhauer, et al., “Internet of things strategic research roadmap,” in Internet of things-global technological and societal trends from smart environments and spaces to green ICT, pp. 9–52, River Publishers, 2022.
  2. I. Peña-López et al., “Itu internet report 2005: the internet of things,” 2005.
  3. W. Contributors, “Internet of things,” 2023. [Online; accessed September 16, 2023].
  4. P. Sethi, S. R. Sarangi, et al., “Internet of things: architectures, protocols, and applications,” Journal of electrical and computer engineering, vol. 2017, 2017.
  5. D. J. Cook, M. Youngblood, E. O. Heierman, K. Gopalratnam, S. Rao, A. Litvin, and F. Khawaja, “Mavhome: An agent-based smart home,” in Proceedings of the First IEEE International Conference on Pervasive Computing and Communications, 2003.(PerCom 2003)., pp. 521–524, IEEE, 2003.
  6. P. Dalal, G. Aggarwal, and S. Tejasvee, “Internet of things (iot) in healthcare system: Ia3 (idea, architecture, advantages and applications),” in Proceedings of the International Conference on Innovative Computing & Communications (ICICC), 2020.
  7. D. Technologies, “Internet of things and data placement.” [Online; accessed October 02, 2023].
  8. T. Kramp, R. Van Kranenburg, and S. Lange, “Introduction to the internet of things,” Enabling things to talk: Designing IoT solutions with the IoT architectural reference model, pp. 1–10, 2013.
  9. Bpb Publications, 2020.
  10. A. Nagaraj, Introduction to sensors in IoT and cloud computing applications. Bentham Science Publishers, 2021.
  11. S. Greengard, “Internet of things,” 2023. [Online; accessed September 16, 2023].
  12. W. Contributors, “Machine to machine,” 2023. [Online; accessed September 16, 2023].
  13. V. of Humanity, “Iot technologies explained: History, examples, risks & future,” 2023. [Online; accessed September 16, 2023].
  14. K. Rose, S. Eldridge, and L. Chapin, “The internet of things: An overview,” The internet society (ISOC), vol. 80, pp. 1–50, 2015.
  15. J. Romkey, “Toast of the iot: the 1990 interop internet toaster,” IEEE Consumer Electronics Magazine, vol. 6, no. 1, pp. 116–119, 2016.
  16. M. Weiser, “The computer for the 21 st century,” Scientific american, vol. 265, no. 3, pp. 94–105, 1991.
  17. R. Raji, “Smart networks for control,” IEEE Spectrum, vol. 31, no. 6, pp. 49–55, 1994.
  18. K. D. Foote, “A brief history of the internet of things,” 2022. [Online; accessed September 16, 2023].
  19. A. Schmidt and K. Van Laerhoven, “How to build smart appliances?,” IEEE personal communications, vol. 8, no. 4, pp. 66–71, 2001.
  20. M. L. Nerkar, “Recognize human physical activity using smartphone sensors: A review,”
  21. M. Saifuzzaman, T. N. Ananna, M. J. M. Chowdhury, M. S. Ferdous, and F. Chowdhury, “A systematic literature review on wearable health data publishing under differential privacy,” International Journal of Information Security, vol. 21, no. 4, pp. 847–872, 2022.
  22. J. H. Gruzelier, “Eeg-neurofeedback for optimising performance. i: A review of cognitive and affective outcome in healthy participants,” Neuroscience & Biobehavioral Reviews, vol. 44, pp. 124–141, 2014.
  23. P. K. Sekhar, E. L. Brosha, R. Mukundan, and F. Garzon, “Chemical sensors for environmental monitoring and homeland security,” The Electrochemical Society Interface, vol. 19, no. 4, p. 35, 2010.
  24. S. Manna, S. S. Bhunia, and N. Mukherjee, “Vehicular pollution monitoring using iot,” in International Conference on Recent Advances and Innovations in Engineering (ICRAIE-2014), pp. 1–5, IEEE, 2014.
  25. A. S. Gillis, “Iot gateway.” [Online; accessed October 03, 2023].
  26. C. Point, “What is an iot gateway?.” [Online; accessed October 03, 2023].
  27. daviteq, “Iot gateway – a key to connect the world,” 2020. [Online; accessed October 03, 2023].
  28. J. Gubbi, R. Buyya, S. Marusic, and M. Palaniswami, “Internet of things (iot): A vision, architectural elements, and future directions,” Future generation computer systems, vol. 29, no. 7, pp. 1645–1660, 2013.
  29. Tisha, “What are the major components of internet of things (iot)?,” 2023. [Online; accessed October 03, 2023].
  30. A. Junnila, “How iot works – part 4: User interface.” [Online; accessed October 03, 2023].
  31. S. Sebastian, P. Ray, et al., “Development of iot invasive architecture for complying with health of home,” Proceedings of I3CS, Shillong, pp. 79–83, 2015.
  32. P. P. Ray, “A survey on internet of things architectures,” Journal of King Saud University-Computer and Information Sciences, vol. 30, no. 3, pp. 291–319, 2018.
  33. R. Sultania, “What are the characteristics of internet of things(iot),” 2023. [Online; accessed October 03, 2023].
  34. S. Kuyoro, F. Osisanwo, and O. Akinsowon, “Internet of things (iot): an overview,” in Proc. of the 3th International Conference on Advances in Engineering Sciences and Applied Mathematics (ICAESAM), pp. 23–24, 2015.
  35. N. Zubovich, “Advantages of internet of things: 10 benefits you should know,” 2023. [Online; accessed September 15, 2023].
  36. A. A. Laghari, K. Wu, R. A. Laghari, M. Ali, and A. A. Khan, “A review and state of art of internet of things (iot),” Archives of Computational Methods in Engineering, pp. 1–19, 2021.
  37. G. Gimpel, “Bringing dark data into the light: Illuminating existing iot data lost within your organization,” Business Horizons, vol. 63, no. 4, pp. 519–530, 2020.
  38. Y. Khan, M. B. M. Su’ud, M. M. Alam, S. F. Ahmad, A. Y. B. Ahmad, and N. Khan, “Application of internet of things (iot) in sustainable supply chain management,” Sustainability, vol. 15, no. 1, p. 694, 2022.
  39. Impactmybiz, “5 benefits of the internet of things (iot) for smbs,” 2022. [Online; accessed October 03, 2023].
  40. O. Elijah, T. A. Rahman, I. Orikumhi, C. Y. Leow, and M. N. Hindia, “An overview of internet of things (iot) and data analytics in agriculture: Benefits and challenges,” IEEE Internet of things Journal, vol. 5, no. 5, pp. 3758–3773, 2018.
  41. Y. Bo and H. Wang, “The application of cloud computing and the internet of things in agriculture and forestry,” in 2011 International Joint Conference on Service Sciences, pp. 168–172, IEEE, 2011.
  42. H. J. Marvin, Y. Bouzembrak, E. M. Janssen, H. v. van der Fels-Klerx, E. D. van Asselt, and G. A. Kleter, “A holistic approach to food safety risks: Food fraud as an example,” Food research international, vol. 89, pp. 463–470, 2016.
  43. L. Manning, “Food fraud: Policy and food chain,” Current Opinion in Food Science, vol. 10, pp. 16–21, 2016.
  44. D. Folinas, I. Manikas, and B. Manos, “Traceability data management for food chains,” British Food Journal, vol. 108, no. 8, pp. 622–633, 2006.
  45. M. Asplund and S. Nadjm-Tehrani, “Attitudes and perceptions of iot security in critical societal services,” IEEE Access, vol. 4, pp. 2130–2138, 2016.
  46. M. Selinger, A. Sepulveda, J. Buchan, et al., “Education and the internet of everything,” Cisco Consulting Services and Cisco EMEAR Education Team, 2013.
  47. R. Lutz, “The implications of the internet of things for education,” Retrieved on, 2014.
  48. L. Barreto, A. Amaral, and T. Pereira, “Industry 4.0 implications in logistics: an overview,” Procedia manufacturing, vol. 13, pp. 1245–1252, 2017.
  49. G.-H. Kim, O.-H. Kwon, and A.-S. Oh, “Design of warehouse management system using ips under bluetooth environment,” International Journal of Multimedia and Ubiquitous Engineering, vol. 11, no. 6, pp. 281–288, 2016.
  50. W. Ding, “Study of smart warehouse management system based on the iot,” in Intelligence Computation and Evolutionary Computation: Results of 2012 International Conference of Intelligence Computation and Evolutionary Computation ICEC 2012 Held July 7, 2012 in Wuhan, China, pp. 203–207, Springer, 2013.
  51. K. Rameel, A. Bhujbal, and M. Goudar, “Iot enabled automated robotic service for warehouses,” Int. J. Eng. Technol. Sci. Res, vol. 4, pp. 588–592, 2017.
  52. S. Liawatimena, B. Felix, A. Nugraha, and R. Evans, “A mini forklift robot,” in The 2nd International Conference on Next Generation Information Technology, pp. 127–131, IEEE, 2011.
  53. S. Lu, C. Xu, R. Y. Zhong, and L. Wang, “A rfid-enabled positioning system in automated guided vehicle for smart factories,” Journal of Manufacturing Systems, vol. 44, pp. 179–190, 2017.
  54. A. S. Alluhaidan, M. S. Alluhaidan, and S. Basheer, “Retracted article: Internet of things based intelligent transportation of food products during covid,” Wireless personal communications, vol. 127, no. Suppl 1, pp. 27–27, 2022.
  55. F. Famá, J. N. Faria, and D. Portugal, “An iot-based interoperable architecture for wireless biomonitoring of patients with sensor patches,” Internet of Things, vol. 19, p. 100547, 2022.
  56. Y. Song, F. R. Yu, L. Zhou, X. Yang, and Z. He, “Applications of the internet of things (iot) in smart logistics: A comprehensive survey,” IEEE Internet of Things Journal, vol. 8, no. 6, pp. 4250–4274, 2020.
  57. S. M. Nagarajan, G. G. Deverajan, P. Chatterjee, W. Alnumay, and V. Muthukumaran, “Integration of iot based routing process for food supply chain management in sustainable smart cities,” Sustainable Cities and Society, vol. 76, p. 103448, 2022.
  58. A. Al-Fuqaha, M. Guizani, M. Mohammadi, M. Aledhari, and M. Ayyash, “Internet of things: A survey on enabling technologies, protocols, and applications,” IEEE communications surveys & tutorials, vol. 17, no. 4, pp. 2347–2376, 2015.
  59. B. Varghese and R. Buyya, “Next generation cloud computing: New trends and research directions,” Future Generation Computer Systems, vol. 79, pp. 849–861, 2018.
  60. M. Satyabrata, “Iot functional blocks,” 2023. [Online; accessed August 26, 2023].
  61. L. Atzori, A. Iera, G. Morabito, and M. Nitti, “The social internet of things (siot)–when social networks meet the internet of things: Concept, architecture and network characterization,” Computer networks, vol. 56, no. 16, pp. 3594–3608, 2012.
  62. R. Mahmoud, T. Yousuf, F. Aloul, and I. Zualkernan, “Internet of things (iot) security: Current status, challenges and prospective measures,” in 2015 10th international conference for internet technology and secured transactions (ICITST), pp. 336–341, IEEE, 2015.
  63. M. Leo, F. Battisti, M. Carli, and A. Neri, “A federated architecture approach for internet of things security,” in 2014 Euro Med Telco Conference (EMTC), pp. 1–5, IEEE, 2014.
  64. M. Wu, T.-J. Lu, F.-Y. Ling, J. Sun, and H.-Y. Du, “Research on the architecture of internet of things,” in 2010 3rd international conference on advanced computer theory and engineering (ICACTE), vol. 5, pp. V5–484, IEEE, 2010.
  65. W. Shi, J. Cao, Q. Zhang, Y. Li, and L. Xu, “Edge computing: Vision and challenges,” IEEE internet of things journal, vol. 3, no. 5, pp. 637–646, 2016.
  66. B. Nour, S. Mastorakis, and A. Mtibaa, “Compute-less networking: Perspectives, challenges, and opportunities,” IEEE network, vol. 34, no. 6, pp. 259–265, 2020.
  67. M. Murphy, “8 best iot hardware platforms (2022 edition),” 2021. [Online; accessed October 03, 2023].
  68. J. Ding, M. Nemati, C. Ranaweera, and J. Choi, “Iot connectivity technologies and applications: A survey,” IEEE Access, vol. 8, pp. 67646–67673, 2020.
  69. S. H. Shah and I. Yaqoob, “A survey: Internet of things (iot) technologies, applications and challenges,” 2016 IEEE Smart Energy Grid Engineering (SEGE), pp. 381–385, 2016.
  70. A. Zanella, N. Bui, A. Castellani, L. Vangelista, and M. Zorzi, “Internet of things for smart cities,” IEEE Internet of Things journal, vol. 1, no. 1, pp. 22–32, 2014.
  71. A. Cenedese, A. Zanella, L. Vangelista, and M. Zorzi, “Padova smart city: An urban internet of things experimentation,” in Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014, pp. 1–6, IEEE, 2014.
  72. J. P. Lynch and K. J. Loh, “A summary review of wireless sensors and sensor networks for structural health monitoring,” Shock and vibration digest, vol. 38, no. 2, pp. 91–130, 2006.
  73. N. Maisonneuve, M. Stevens, M. E. Niessen, P. Hanappe, and L. Steels, “Citizen noise pollution monitoring,” 2009.
  74. X. Li, W. Shu, M. Li, H.-Y. Huang, P.-E. Luo, and M.-Y. Wu, “Performance evaluation of vehicle-based mobile sensor networks for traffic monitoring,” IEEE transactions on vehicular technology, vol. 58, no. 4, pp. 1647–1653, 2008.
  75. J.-W. Hsieh, S.-H. Yu, Y.-S. Chen, and W.-F. Hu, “Automatic traffic surveillance system for vehicle tracking and classification,” IEEE Transactions on intelligent transportation systems, vol. 7, no. 2, pp. 175–187, 2006.
  76. W. Hu, X. Hu, J.-q. Deng, C. Zhu, G. Fotopoulos, E. C.-H. Ngai, and V. C. Leung, “Mood-fatigue analyzer: towards context-aware mobile sensing applications for safe driving,” in Proceedings of the 1st ACM Workshop on Middleware for Context-Aware Applications in the IoT, pp. 19–24, 2014.
  77. A. O. Kotb, Y.-c. Shen, and Y. Huang, “Smart parking guidance, monitoring and reservations: a review,” IEEE Intelligent Transportation Systems Magazine, vol. 9, no. 2, pp. 6–16, 2017.
  78. L.-E. Y. Mimbela, L. A. Klein, et al., “Summary of vehicle detection and surveillance technologies used in intelligent transportation systems,” 2007.
  79. F. Al-Turjman and M. Abujubbeh, “Iot-enabled smart grid via sm: An overview,” Future generation computer systems, vol. 96, pp. 579–590, 2019.
  80. J. Lin, W. Yu, and X. Yang, “Towards multistep electricity prices in smart grid electricity markets,” IEEE Transactions on Parallel and Distributed Systems, vol. 27, no. 1, pp. 286–302, 2015.
  81. G. Hauber-Davidson and E. Idris, “Smart water metering,” Water, vol. 33, no. 3, pp. 38–41, 2006.
  82. T. Wu, J.-M. Redouté, and M. Yuce, “A wearable, low-power, real-time ecg monitor for smart t-shirt and iot healthcare applications,” in Advances in Body Area Networks I: Post-Conference Proceedings of BodyNets 2017, pp. 165–173, Springer, 2019.
  83. M. Bansal and B. Gandhi, “Iot & big data in smart healthcare (ecg monitoring),” in 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), pp. 390–396, IEEE, 2019.
  84. R. S. Istepanian, S. Hu, N. Y. Philip, and A. Sungoor, “The potential of internet of m-health things “m-iot” for non-invasive glucose level sensing,” in 2011 annual international conference of the IEEE engineering in medicine and biology society, pp. 5264–5266, IEEE, 2011.
  85. S. Sunny and S. S. Kumar, “Optical based non invasive glucometer with iot,” in 2018 International Conference on Power, Signals, Control and Computation (EPSCICON), pp. 1–3, IEEE, 2018.
  86. H. Ota, M. Chao, Y. Gao, E. Wu, L.-C. Tai, K. Chen, Y. Matsuoka, K. Iwai, H. M. Fahad, W. Gao, et al., “3d printed “earable” smart devices for real-time detection of core body temperature,” ACS sensors, vol. 2, no. 7, pp. 990–997, 2017.
  87. I. Gunawan, D. Andayani, T. Triwiyanto, E. Yulianto, T. Rahmawati, L. Soetjiatie, and S. Musvika, “Design and development of telemedicine based heartbeat and body temperature monitoring tools,” in IOP conference series: materials science and engineering, vol. 850, p. 012018, IOP Publishing, 2020.
  88. Q. Xin and J. Wu, “A novel wearable device for continuous, non-invasion blood pressure measurement,” Computational Biology and Chemistry, vol. 69, pp. 134–137, 2017.
  89. B. Pradhan, S. Bhattacharyya, and K. Pal, “Iot-based applications in healthcare devices,” Journal of healthcare engineering, vol. 2021, pp. 1–18, 2021.
  90. Y. Fu and J. Liu, “System design for wearable blood oxygen saturation and pulse measurement device,” Procedia manufacturing, vol. 3, pp. 1187–1194, 2015.
  91. L. Agustine, I. Muljono, P. R. Angka, A. Gunadhi, D. Lestariningsih, and W. A. Weliamto, “Heart rate monitoring device for arrhythmia using pulse oximeter sensor based on android,” in 2018 International Conference on Computer Engineering, Network and Intelligent Multimedia (CENIM), pp. 106–111, IEEE, 2018.
  92. J. Kaur, N. Batra, and S. Goyal, “Smartemodetect: An internet of things based emotion monitoring wearable technology for drivers,” Journal of Computational and Theoretical Nanoscience, vol. 16, no. 9, pp. 3969–3973, 2019.
  93. D. Kushawaha, D. De, V. Mohindru, and A. K. Gupta, “Sentiment analysis and mood detection on an android platform using machine learning integrated with internet of things,” in Proceedings of ICRIC 2019: Recent Innovations in Computing, pp. 223–238, Springer, 2020.
  94. S. A. Bharadwaj, D. Yarravarapu, S. C. K. Reddy, T. Prudhvi, K. Sandeep, and O. S. D. Reddy, “Enhancing healthcare using m-care box (monitoring non-compliance of medication),” in 2017 International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud)(I-SMAC), pp. 352–356, IEEE, 2017.
  95. D. Karagiannis and K. S. Nikita, “Design and development of a 3d printed iot portable pillbox for continuous medication adherence,” in 2020 IEEE International Conference on Smart Internet of Things (SmartIoT), pp. 352–353, IEEE, 2020.
  96. Y. K. Lee, J. M. Lim, K. S. Eu, Y. H. Goh, and Y. Tew, “Real time image processing based obstacle avoidance and navigation system for autonomous wheelchair application,” in 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), pp. 380–385, IEEE, 2017.
  97. D. Kumar, R. Malhotra, and S. Sharma, “Design and construction of a smart wheelchair,” Procedia Computer Science, vol. 172, pp. 302–307, 2020.
  98. C. Nave and O. Postolache, “Smart walker based iot physical rehabilitation system,” in 2018 International Symposium in Sensing and Instrumentation in IoT Era (ISSI), pp. 1–6, IEEE, 2018.
  99. Y. Jiang, “Combination of wearable sensors and internet of things and its application in sports rehabilitation,” Computer Communications, vol. 150, pp. 167–176, 2020.
  100. M. Sundholm, J. Cheng, B. Zhou, A. Sethi, and P. Lukowicz, “Smart-mat: Recognizing and counting gym exercises with low-cost resistive pressure sensing matrix,” in Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing, pp. 373–382, 2014.
  101. D. R. Seshadri, R. T. Li, J. E. Voos, J. R. Rowbottom, C. M. Alfes, C. A. Zorman, and C. K. Drummond, “Wearable sensors for monitoring the physiological and biochemical profile of the athlete,” NPJ digital medicine, vol. 2, no. 1, p. 72, 2019.
  102. M. Heshmat and A.-R. S. Shehata, “A framework about using internet of things for smart cancer treatment process,” in Proceedings of the international conference on industrial engineering and operations management, pp. 1206–1211, 2018.
  103. D. d. A. Rodrigues, R. F. Ivo, S. C. Satapathy, S. Wang, J. Hemanth, and P. P. Reboucas Filho, “A new approach for classification skin lesion based on transfer learning, deep learning, and iot system,” Pattern Recognition Letters, vol. 136, pp. 8–15, 2020.
  104. J. P. Rajan, S. E. Rajan, R. J. Martis, and B. K. Panigrahi, “Fog computing employed computer aided cancer classification system using deep neural network in internet of things based healthcare system,” Journal of medical systems, vol. 44, pp. 1–10, 2020.
  105. K. Pradhan and P. Chawla, “Medical internet of things using machine learning algorithms for lung cancer detection,” Journal of Management Analytics, vol. 7, no. 4, pp. 591–623, 2020.
  106. Z. Liu, C. Yao, H. Yu, and T. Wu, “Deep reinforcement learning with its application for lung cancer detection in medical internet of things,” Future Generation Computer Systems, vol. 97, pp. 1–9, 2019.
  107. J. Cecil, A. Gupta, M. Pirela-Cruz, and P. Ramanathan, “An iomt based cyber training framework for orthopedic surgery using next generation internet technologies,” Informatics in Medicine Unlocked, vol. 12, pp. 128–137, 2018.
  108. H. Su, S. E. Ovur, Z. Li, Y. Hu, J. Li, A. Knoll, G. Ferrigno, and E. De Momi, “Internet of things (iot)-based collaborative control of a redundant manipulator for teleoperated minimally invasive surgeries,” in 2020 IEEE international conference on robotics and automation (ICRA), pp. 9737–9742, IEEE, 2020.
  109. K. Bhatia and M. Singh, “Towards development of portable instantaneous smart optical device for hemoglobin detection non invasively,” Health and Technology, vol. 9, no. 1, pp. 17–23, 2019.
  110. S. T. U. Shah, F. Badshah, F. Dad, N. Amin, and M. A. Jan, “Cloud-assisted iot-based smart respiratory monitoring system for asthma patients,” Applications of intelligent technologies in healthcare, pp. 77–86, 2019.
  111. C. Yuanyuan and Z. Zuozhuang, “Research and design of intelligent water-saving irrigation control system based on wsn,” in 2020 IEEE International Conference on Artificial Intelligence and Computer Applications (ICAICA), pp. 695–697, IEEE, 2020.
  112. Z. Li, J. Wang, R. Higgs, L. Zhou, and W. Yuan, “Design of an intelligent management system for agricultural greenhouses based on the internet of things,” in 2017 IEEE international conference on computational science and engineering (CSE) and IEEE international conference on embedded and ubiquitous computing (EUC), vol. 2, pp. 154–160, IEEE, 2017.
  113. X. Chen, “Study on growth condition monitoring and management techniques of millet field based on internet of things,” Shanxi Agricultural University, 2015.
  114. F.-T. Lin, Y.-C. Kuo, J.-C. Hsieh, H.-Y. Tsai, Y.-T. Liao, and H.-C. Lee, “A self-powering wireless environment monitoring system using soil energy,” IEEE Sensors Journal, vol. 15, no. 7, pp. 3751–3758, 2015.
  115. Q. Xie, M. Wu, J. Bao, P. Zheng, W. Liu, X. Liu, and H. Yu, “A deep learning-based detection method for pig body temperature using infrared thermography,” Computers and Electronics in Agriculture, vol. 213, p. 108200, 2023.
  116. S. Porto, C. Arcidiacono, and G. Cascone, “Developing integrated computer-based information systems for certified plant traceability: Case study of italian citrus-plant nursery chain,” Biosystems Engineering, vol. 109, no. 2, pp. 120–129, 2011.
  117. K. D. Sowjanya, R. Sindhu, M. Parijatham, K. Srikanth, and P. Bhargav, “Multipurpose autonomous agricultural robot,” in 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), vol. 2, pp. 696–699, IEEE, 2017.
  118. Y. Onishi, T. Yoshida, H. Kurita, T. Fukao, H. Arihara, and A. Iwai, “An automated fruit harvesting robot by using deep learning,” Robomech Journal, vol. 6, no. 1, pp. 1–8, 2019.
  119. L. Jiang and K. Sun, “Research on security traceability platform of agricultural products based on internet of things,” in 2017 7th International Conference on Mechatronics, Computer and Education Informationization (MCEI 2017), pp. 146–150, Atlantis Press, 2017.
  120. H. Gu, X. Zhang, X. Qin, et al., “Construction of pork trace ability system,” Heilongjiang Agric Sci, vol. 2018, no. 05, pp. 46–49, 2018.
  121. N. Materne and M. Inoue, “Iot monitoring system for early detection of agricultural pests and diseases,” in 2018 12th South East Asian Technical University Consortium (SEATUC), vol. 1, pp. 1–5, IEEE, 2018.
  122. G. Nagasubramanian, R. K. Sakthivel, R. Patan, M. Sankayya, M. Daneshmand, and A. H. Gandomi, “Ensemble classification and iot-based pattern recognition for crop disease monitoring system,” IEEE Internet of Things Journal, vol. 8, no. 16, pp. 12847–12854, 2021.
  123. Y. Ma and X. Sun, “Intelligent agricultural machinery equipment and technology,” Agri cultural Equipment & Technology, vol. 46, no. 01, pp. 4–6, 2020.
  124. D.-M. Han and J.-H. Lim, “Design and implementation of smart home energy management systems based on zigbee,” IEEE Transactions on Consumer Electronics, vol. 56, no. 3, pp. 1417–1425, 2010.
  125. Y. Qu, X. Ming, Z. Liu, X. Zhang, and Z. Hou, “Smart manufacturing systems: state of the art and future trends,” The International Journal of Advanced Manufacturing Technology, vol. 103, pp. 3751–3768, 2019.
  126. Y. Lu, K. C. Morris, S. Frechette, et al., “Current standards landscape for smart manufacturing systems,” National Institute of Standards and Technology, NISTIR, vol. 8107, no. 3, 2016.
  127. O. Alsaadoun, “A cybersecurity prospective on industry 4.0: Enabler role of identity and access management,” in International Petroleum Technology Conference, p. D031S058R001, IPTC, 2019.
  128. S.-H. Liao and L.-L. Yang, “Mobile payment and online to offline retail business models,” Journal of Retailing and Consumer Services, vol. 57, p. 102230, 2020.
  129. L. Liu, B. Zhou, Z. Zou, S.-C. Yeh, and L. Zheng, “A smart unstaffed retail shop based on artificial intelligence and iot,” in 2018 IEEE 23rd International workshop on computer aided modeling and design of communication links and networks (CAMAD), pp. 1–4, IEEE, 2018.
  130. A. Jayaram, “Smart retail 4.0 iot consumer retailer model for retail intelligence and strategic marketing of in-store products,” Proceedings of the 17th international business horizon-INBUSH ERA-2017, Noida, India, vol. 9, 2017.
  131. S. Munirathinam, “Industry 4.0: Industrial internet of things (iiot),” in Advances in computers, vol. 117, pp. 129–164, Elsevier, 2020.
  132. C. Zhou, N. Damiano, B. Whisner, and M. Reyes, “Industrial internet of things:(iiot) applications in underground coal mines,” Mining engineering, vol. 69, no. 12, p. 50, 2017.
  133. M. Javaid, A. Haleem, R. P. Singh, S. Rab, and R. Suman, “Upgrading the manufacturing sector via applications of industrial internet of things (iiot),” Sensors International, vol. 2, p. 100129, 2021.
  134. G. Liang, J. Cao, and W. Zhu, “Circlesense: A pervasive computing system for recognizing social activities,” in 2013 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 201–206, IEEE, 2013.
  135. Y.-K. Row and T.-J. Nam, “Camy: applying a pet dog analogy to everyday ubicomp products,” in Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, pp. 63–74, 2014.
  136. M. Yu, A. Rhuma, S. M. Naqvi, L. Wang, and J. Chambers, “A posture recognition-based fall detection system for monitoring an elderly person in a smart home environment,” IEEE transactions on information technology in biomedicine, vol. 16, no. 6, pp. 1274–1286, 2012.
  137. D. Saravanan, G. Archana, and R. Parthiban, “Voice controlled humanoid robotic car for smart agriculture using arduino and android smart watch,” Int. J. Pure Appl. Math, vol. 119, no. 14, pp. 829–832, 2018.
  138. M. Chen, J. Zhou, G. Tao, J. Yang, and L. Hu, “Wearable affective robot,” IEEE Access, vol. 6, pp. 64766–64776, 2018.
  139. W. Kassab and K. A. Darabkh, “A–z survey of internet of things: Architectures, protocols, applications, recent advances, future directions and recommendations,” Journal of Network and Computer Applications, vol. 163, p. 102663, 2020.
  140. J. Lin, W. Yu, N. Zhang, X. Yang, H. Zhang, and W. Zhao, “A survey on internet of things: Architecture, enabling technologies, security and privacy, and applications,” IEEE internet of things journal, vol. 4, no. 5, pp. 1125–1142, 2017.
  141. S. Das, M. P. Singh, and S. Namasudra, “A lightweight authentication and key agreement protocol for iot-based smart healthcare system,” in 2023 World Conference on Communication & Computing (WCONF), pp. 1–5, IEEE, 2023.
  142. A. Singh, A. Kumar, and S. Namasudra, “Dnacds: Cloud ioe big data security and accessing scheme based on dna cryptography,” Frontiers of Computer Science, vol. 18, no. 1, p. 181801, 2024.
  143. S. Namasudra, D. Devi, S. Choudhary, R. Patan, and S. Kallam, “Security, privacy, trust, and anonymity,” Advances of DNA computing in cryptography, vol. 1, pp. 138–150, 2018.
  144. S. Das and S. Namasudra, “A novel hybrid encryption method to secure healthcare data in iot-enabled healthcare infrastructure,” Computers and Electrical Engineering, vol. 101, p. 107991, 2022.
  145. S. Das and S. Namasudra, “Macpabe: Multi-authority-based cp-abe with efficient attribute revocation for iot-enabled healthcare infrastructure,” International Journal of Network Management, vol. 33, no. 3, p. e2200, 2023.
  146. A. H. Hussein, “Internet of things (iot): Research challenges and future applications,” International Journal of Advanced Computer Science and Applications, vol. 10, no. 6, 2019.
  147. S. G. Tzafestas, “Ethics and law in the internet of things world,” Smart cities, vol. 1, no. 1, pp. 98–120, 2018.
  148. X. Carron, R. Bosua, S. Maynard, and A. Ahmad, “The internet of things and its impact on individual privacy: an australian privacy principle perspective,” Computer Law & Security Review, vol. 21, no. 1, pp. 4–15, 2016.
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Authors (2)
  1. Tajkia Nuri Ananna (4 papers)
  2. Munshi Saifuzzaman (4 papers)

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