Skip to main navigation menu Skip to main content Skip to site footer

Internet of Things Impact on Web Technology and Enterprise Systems

Abstract

It's been clearer over the last two decades that computer science plays a crucial role in the growth of every company. With each passing cycle, the IT industry blossoms a brand-new subfield. The Internet of Things (IoT) refers to the idea of connecting any device to the Internet in order to interact with the consumer and convert it into an intelligent device; this is a relatively new concept in the realm of information technology (IT) and the Internet, but it is gaining popularity and importance in people's daily lives. The Internet of Things is predicted to play a pivotal role in the development of business IT infrastructure. With the help of IoT, we can link billions of smart gadgets that can talk to one another in an automated fashion. One of the most rapidly expanding fields in computer history, with an expected 50 billion devices by the end of 2020. Security techniques, such as encryption, authentication, access control, network security, and application security, are rendered useless when applied to Internet of Things (IoT) devices because of these inherent weaknesses. The Internet of Things (IoT) has attracted the attention of many academics and industry leaders, who have published studies and made statements on the significance of IoT architectural layers for corporate systems (ESs). This literature study included a wide variety of studies that implemented and developed IoT technology in several human domains, including healthcare, smart homes and cities, assisted charities, and monitoring systems. The article also detailed the computers and programs that facilitated each study. Plus, the reliable algorithm used in the research articles' tests and analyses of data. Lastly, drawing parallels between these publications helps to provide insight on the difficulties and possibilities facing potential IoT impact researchers in the industrial sector.

 

Keywords

IoT, E-IoT, Technologies of IoT, Service-Oriented Architecture for IoT, Evolution of ESs

PDF

Author Biography

Riyadh Qashi

 

 

Hayfaa Subhi Malallah

 

 

 

Marya Ayoub Omer

 

 

 

 


References

  1. H. Chegini, R. K. Naha, A. Mahanti, and P. Thulasiraman, “Process automation in an IoT–fog–cloud ecosystem: A survey and taxonomy,” IoT, vol. 2, no. 1, pp. 92–118, 2021.
  2. R. Zebari, S. Zeebaree, K. Jacksi, and H. Shukur, “E-Business Requirements for Flexibility and Implementation Enterprise System: A Review,” International Journal of Scientific & Technology Research, vol. 8, pp. 655–660, Nov. 2019.
  3. L. M. Abdulrahman et al., “A state of art for smart gateways issues and modification,” Asian Journal of Research in Computer Science, pp. 1–13, 2021.
  4. F. E. F. Samann, S. R. Zeebaree, and S. Askar, “IoT provisioning QoS based on cloud and fog computing,” Journal of Applied Science and Technology Trends, vol. 2, no. 01, pp. 29–40, 2021.
  5. L. M. Haji, O. M. Ahmad, S. R. Zeebaree, H. I. Dino, R. R. Zebari, and H. M. Shukur, “Impact of cloud computing and internet of things on the future internet,” Technology Reports of Kansai University, vol. 62, no. 5, pp. 2179–2190, 2020.
  6. K. Jacksi, S. R. Zeebaree, and N. Dimililer, “LOD Explorer: Presenting the Web of Data,” Intl. Journal of Advanced Computer Science and Applications, vol. 9, no. 1, pp. 45–51, 2018.
  7. A. AL-Zebari, S. R. Zeebaree, K. Jacksi, and A. Selamat, “ELMS–DPU Ontology Visualization with Protégé VOWL and Web VOWL,” Journal of Advanced Research in Dynamic and Control Systems, vol. 11, pp. 478–85, 2019.
  8. A.-Z. S. R. Zeebaree, A. Z. Adel, K. Jacksi, and A. Selamat, “Designing an ontology of E-learning system for duhok polytechnic university using protégé OWL tool,” J. Adv. Res. Dyn. Control Syst., vol, vol. 11, pp. 24–37.
  9. R. Hidayat, S. Afiyah, R. Sufyani, and F. Adani, “Development of Radio Frequency Identification (RFID) in the Campus Parking System based on Microcontroller,” in Journal of Physics: Conference Series, 2021, vol. 1783, no. 1, p. 012022.
  10. H. S. Yahia et al., “Comprehensive survey for cloud computing based nature-inspired algorithms optimization scheduling,” Asian Journal of Research in Computer Science, vol. 8, no. 2, pp. 1–16, 2021.
  11. K. Jacksi, N. Dimililer, and S. R. Zeebaree, “A survey of exploratory search systems based on LOD resources,” 5th International Conference on Computing and Informatics (ICOCI) 2015, 11-13 August 2015, Istanbul, Turkey. 2015.
  12. H. M. Yasin, S. R. Zeebaree, and I. M. Zebari, “Arduino Based Automatic Irrigation System: Monitoring and SMS Controlling,” in 2019 4th Scientific International Conference Najaf (SICN), 2019, pp. 109–114.
  13. D. A. Zebari, H. Haron, S. R. Zeebaree, and D. Q. Zeebaree, “Multi-Level of DNA Encryption Technique Based on DNA Arithmetic and Biological Operations,” in 2018 International Conference on Advanced Science and Engineering (ICOASE), 2018, pp. 312–317.
  14. N. O. Y. Subhi R. M. Zebari, “Effects of Parallel Processing Implementation on Balanced Load-Division Depending on Distributed Memory Systems,” J. of university of Anbar for pure science, vol. 5, no. 3, Art. no. 3, 2011.
  15. U. Ullah, F. A. Bhatti, A. R. Maud, M. I. Asim, K. Khurshid, and M. Maqsood, “IoT-enabled computer vision-based parts inspection system for SME 4.0,” Microprocessors and Microsystems, vol. 87, p. 104354, 2021.
  16. Z. J. Hamad and S. R. Zeebaree, “Recourses Utilization in a Distributed System: A Review,” International Journal of Science and Business, vol. 5, no. 2, pp. 42–53, 2021.
  17. S. R. Zebari, “A new Approach for Process Monitoring,” in Polytechnic Journal, Technical Education-Erbil, 2011.
  18. S. M. Saleem, S. R. Zeebaree, and M. B. Abdulrazzaq, “Real-life dynamic facial expression recognition: a review,” in Journal of Physics: Conference Series, 2021, vol. 1963, no. 1, p. 012010.
  19. E. Camponogara, D. Jia, B. H. Krogh, and S. Talukdar, “Distributed model predictive control,” IEEE control systems magazine, vol. 22, no. 1, pp. 44–52, 2002.
  20. B. W. Salim and S. R. Zeebaree, “Design & Analyses of a Novel Real Time Kurdish Sign Language for Kurdish Text and Sound Translation System,” in 2020 IEEE International Conference on Problems of Infocommunications. Science and Technology (PIC S&T), 2020, pp. 348–352.
  21. Z. N. Rashid, S. R. Zeebaree, R. R. Zebari, S. H. Ahmed, H. M. Shukur, and A. Alkhayyat, “Distributed and Parallel Computing System Using Single-Client Multi-Hash Multi-Server Multi-Thread,” in 2021 1st Babylon International Conference on Information Technology and Science (BICITS), 2021, pp. 222–227.
  22. Y. S. Jghef et al., “Bio-Inspired Dynamic Trust and Congestion-Aware Zone-Based Secured Internet of Drone Things (SIoDT),” Drones, vol. 6, no. 11, p. 337, 2022.
  23. A. S. Aljuboury et al., “A New Nonlinear Controller Design for a TCP/AQM Network Based on Modified Active Disturbance Rejection Control,” Complexity, vol. 2022, 2022.
  24. H. B. Abdalla, A. M. Ahmed, S. R. Zeebaree, A. Alkhayyat, and B. Ihnaini, “Rider weed deep residual network-based incremental model for text classification using multidimensional features and MapReduce,” PeerJ Computer Science, vol. 8, p. e937, 2022.
  25. F. Tao, Y. Zuo, L. Da Xu, L. Lv, and L. Zhang, “Internet of things and BOM-based life cycle assessment of energy-saving and emission-reduction of products,” IEEE Transactions on Industrial Informatics, vol. 10, no. 2, pp. 1252–1261, 2014.
  26. A. A. K. Pradeep Mohan Kumar Jenifer Mahilraj, D. Swathi, R. Rajavarman, Subhi R. M. Zeebaree, Rizgar R. Zebari, Zryan Najat Rashid, “Privacy Preserving Blockchain with Optimal Deep Learning Model for Smart Cities,” Computers, Materials & Continua, vol. 73, no. 3, pp. 5299–5314, 2022, doi: 10.32604/cmc.2022.030825.
  27. A. Alqahtani, E. Solaiman, P. Patel, S. Dustdar, and R. Ranjan, “Service level agreement specification for end-to-end IoT application ecosystems,” Software: Practice and Experience, vol. 49, no. 12, pp. 1689–1711, 2019.
  28. A. M. Abed et al., “Trajectory tracking of differential drive mobile robots using fractional-order proportional-integral-derivative controller design tuned by an enhanced fruit fly optimization,” Measurement and Control, p. 00202940221092134, 2022.
  29. F. Abedi et al., “Severity Based Light-Weight Encryption Model for Secure Medical Information System”.
  30. A. Zimmermann, R. Schmidt, K. Sandkuhl, D. Jugel, M. Möhring, and M. Wißotzki, Enterprise architecture management for the internet of things. Gesellschaft für Informatik eV, 2015.
  31. R. R. Zebari, S. R. Zeebaree, Z. N. Rashid, H. M. Shukur, A. Alkhayyat, and M. A. Sadeeq, “A Review on Automation Artificial Neural Networks based on Evolutionary Algorithms,” in 2021 14th International Conference on Developments in eSystems Engineering (DeSE), 2021, pp. 235–240.
  32. Z. N. Rashid, S. R. Zeebaree, M. A. Sadeeq, R. R. Zebari, H. M. Shukur, and A. Alkhayyat, “Cloud-based Parallel Computing System Via Single-Client Multi-Hash Single-Server Multi-Thread,” in 2021 International Conference on Advance of Sustainable Engineering and its Application (ICASEA), 2021, pp. 59–64.
  33. T. Serrenho and P. Bertoldi, “Smart home and appliances: State of the art,” Energy, communications, protocols, standards. Brussels: JRC technical reports, pp. 2–36, 2019.
  34. O. H. Jader et al., “Ultra-Dense Request Impact on Cluster-Based Web Server Performance,” in 2021 4th International Iraqi Conference on Engineering Technology and Their Applications (IICETA), 2021, pp. 252–257.
  35. L. P. Rondon, L. Babun, A. Aris, K. Akkaya, and A. S. Uluagac, “Survey on enterprise Internet-of-Things systems (E-IoT): A security perspective,” Ad Hoc Networks, vol. 125, p. 102728, 2022.
  36. J. Li, L. Shi, C. J. Xue, and Y. Xu, “Thread progress aware coherence adaption for hybrid cache coherence protocols,” IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 10, pp. 2697–2707, 2013.
  37. D. A. Hasan, S. R. Zeebaree, M. A. Sadeeq, H. M. Shukur, R. R. Zebari, and A. H. Alkhayyat, “Machine Learning-based Diabetic Retinopathy Early Detection and Classification Systems-A Survey,” in 2021 1st Babylon International Conference on Information Technology and Science (BICITS), 2021, pp. 16–21.
  38. S. Arab, H. Ashrafzadeh, and A. Alidadi, “Internet of Things: Communication Technologies, Features and Challenges,” IJEDR, vol. 6, no. 2, 2018.
  39. M. B. Abdulrazaq, M. R. Mahmood, S. R. Zeebaree, M. H. Abdulwahab, R. R. Zebari, and A. B. Sallow, “An analytical appraisal for supervised classifiers’ performance on facial expression recognition based on relief-F feature selection,” in Journal of Physics: Conference Series, 2021, vol. 1804, no. 1, p. 012055.
  40. M. R. Mahmood, M. B. Abdulrazzaq, S. R. Zeebaree, A. K. Ibrahim, R. R. Zebari, and H. I. Dino, “Classification techniques’ performance evaluation for facial expression recognition,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 21, no. 2, pp. 176–1184.
  41. S. R. M. Zeebaree et al., “Multicomputer Multicore System Influence on Maximum Multi-Processes Execution Time,” TEST Engineering & Management, vol. 83, no. May/June, pp. 14921–14931, May 2020.
  42. K. Shafique, B. A. Khawaja, F. Sabir, S. Qazi, and M. Mustaqim, “Internet of things (IoT) for next-generation smart systems: A review of current challenges, future trends and prospects for emerging 5G-IoT scenarios,” Ieee Access, vol. 8, pp. 23022–23040, 2020.
  43. B. R. Ibrahim et al., “Embedded system for eye blink detection using machine learning technique,” in 2021 1st Babylon International Conference on Information Technology and Science (BICITS), 2021, pp. 58–62.
  44. Z. A. Younis, A. M. Abdulazeez, S. R. Zeebaree, R. R. Zebari, and D. Q. Zeebaree, “Mobile Ad Hoc Network in Disaster Area Network Scenario: A Review on Routing Protocols.,” International Journal of Online & Biomedical Engineering, vol. 17, no. 3, 2021.
  45. R. R. Zebari, S. R. Zeebaree, A. B. Sallow, H. M. Shukur, O. M. Ahmad, and K. Jacksi, “Distributed Denial of Service Attack Mitigation using High Availability Proxy and Network Load Balancing,” in 2020 International Conference on Advanced Science and Engineering (ICOASE), 2020, pp. 174–179.
  46. H. I. Dino, S. R. Zeebaree, O. M. Ahmad, H. M. Shukur, R. R. Zebari, and L. M. Haji, “Impact of Load Sharing on Performance of Distributed Systems Computations,” International Journal of Multidisciplinary Research and Publications (IJMRAP), vol. 3, no. 1, pp. 30–37, 2020.
  47. D. Romero and F. B. Vernadat, “Future perspectives on next generation enterprise information systems.,” Comput. Ind., vol. 79, pp. 1–2, 2016.
  48. H. M. Shukur, S. R. Zeebaree, R. R. Zebari, B. K. Hussan, O. H. Jader, and L. M. Haji, “Design and implementation of electronic enterprise university human resource management system,” in Journal of Physics: Conference Series, 2021, vol. 1804, no. 1, p. 012058.
  49. K. H. Sharif, S. R. Zeebaree, L. M. Haji, and R. R. Zebari, “Performance Measurement of Processes and Threads Controlling, Tracking and Monitoring Based on Shared-Memory Parallel Processing Approach,” in 2020 3rd International Conference on Engineering Technology and its Applications (IICETA), 2020, pp. 62–67.
  50. S. A. Ali, M. Ansari, and M. Alam, “Resource management techniques for cloud-based IoT environment,” in Internet of Things (IoT), Springer, 2020, pp. 63–87.
  51. L. Haji, R. R. Zebari, S. R. M. Zeebaree, W. M. Abduallah, H. M. Shukur, and O. Ahmed, “GPUs Impact on Parallel Shared Memory Systems Performance,” International Journal of Psychosocial Rehabilitation, vol. 24, no. 08, pp. 8030–8038, 21, May, doi: 10.37200/IJPR/V2418/PR280814.
  52. S. R. M. Zeebaree et al., “Enterprise Resource Planning Systems and Challenges,” Technology Reports of Kansai University, vol. 62, no. 4, pp. 1885–1894, Apr. 2020.
  53. R. R. Zebari, S. R. Zeebaree, and K. Jacksi, “Impact Analysis of HTTP and SYN Flood DDoS Attacks on Apache 2 and IIS 10.0 Web Servers,” in 2018 International Conference on Advanced Science and Engineering (ICOASE), 2018, pp. 156–161.
  54. S. R. Zeebaree, K. Jacksi, and R. R. Zebari, “Impact analysis of SYN flood DDoS attack on HAProxy and NLB cluster-based web servers,” Indonesian Journal of Electrical Engineering and Computer Science, vol. 19, no. 1, pp. 510–517, 2020.
  55. H. Shukur et al., “A State of Art Survey for Concurrent Computation and Clustering of Parallel Computing for Distributed Systems,” Journal of Applied Science and Technology Trends, vol. 1, no. 4, pp. 148–154, 2020.
  56. O. H. Jader, S. R. Zeebaree, and R. R. Zebari, “A State Of Art Survey For Web Server Performance Measurement And Load Balancing Mechanisms,” INTERNATIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, vol. 8, no. 12, pp. 535–543, Dec. 2019.
  57. A. B. Sallow, S. R. Zeebaree, R. R. Zebari, M. R. Mahmood, M. B. Abdulrazzaq, and M. A. Sadeeq, “Vaccine Tracker/SMS Reminder System: Design and Implementation”. International Journal of Multidisciplinary Research and Publications, vol. 3, no. 2, pp. 57-63.
  58. O. Alzakholi, L. Haji, H. Shukur, R. Zebari, S. Abas, and M. Sadeeq, “Comparison Among Cloud Technologies and Cloud Performance,” Journal of Applied Science and Technology Trends, vol. 1, no. 2, Art. no. 2, Apr. 2020, doi: 10.38094/jastt1219.
  59. H. Shukur, S. Zeebaree, R. Zebari, D. Zeebaree, O. Ahmed, and A. Salih, “Cloud Computing Virtualization of Resources Allocation for Distributed Systems,” Journal of Applied Science and Technology Trends, vol. 1, no. 3, pp. 98–105, 2020.
  60. A. A. Yazdeen, S. R. Zeebaree, M. M. Sadeeq, S. F. Kak, O. M. Ahmed, and R. R. Zebari, “FPGA implementations for data encryption and decryption via concurrent and parallel computation: A review,” Qubahan Academic Journal, vol. 1, no. 2, pp. 8–16, 2021.
  61. P. Y. Abdullah, S. R. Zeebaree, K. Jacksi, and R. R. Zeabri, “AN HRM SYSTEM FOR SMALL AND MEDIUM ENTERPRISES (SME) S BASED ON CLOUD COMPUTING TECHNOLOGY,” International Journal of Research-GRANTHAALAYAH, vol. 8, no. 8, pp. 56–64, 2020.
  62. A. A. Salih, S. R. Zeebaree, A. S. Abdulraheem, R. R. Zebari, M. A. Sadeeq, and O. M. Ahmed, “Evolution of Mobile Wireless Communication to 5G Revolution,” Technology Reports of Kansai University, 2020.
  63. M. M. Sadeeq, N. M. Abdulkareem, S. R. Zeebaree, D. M. Ahmed, A. S. Sami, and R. R. Zebari, “IoT and Cloud computing issues, challenges and opportunities: A review,” Qubahan Academic Journal, vol. 1, no. 2, pp. 1–7, 2021.
  64. L. M. Haji, S. R. Zeebaree, O. M. Ahmed, A. B. Sallow, K. Jacksi, and R. R. Zeabri, “Dynamic Resource Allocation for Distributed Systems and Cloud Computing,” TEST Engineering & Management, vol. 83, no. May/June 2020, pp. 22417–22426, 2020.
  65. B. T. Jijo et al., “A comprehensive survey of 5G mm-wave technology design challenges,” Asian Journal of Research in Computer Science, vol. 8, no. 1, pp. 1–20, 2021.
  66. H. M. Yasin et al., “IoT and ICT based smart water management, monitoring and controlling system: A review,” Asian Journal of Research in Computer Science, pp. 42–56, 2021.
  67. A. B. Sallow et al., “An Investigation for Mobile Malware Behavioral and Detection Techniques Based on Android Platform,” IOSR Journal of Computer Engineering (IOSR-JCE), vol. 22, no. 4, pp. 14–20.
  68. S. T. Jan et al., “Throwing darts in the dark? detecting bots with limited data using neural data augmentation,” in 2020 IEEE symposium on security and privacy (SP), 2020, pp. 1190–1206.
  69. N. Balani and R. Hathi, Enterprise IoT: A Definitive Handbook. CreateSpace Independent Publishing Platform, 2015.
  70. P. Bellavista, J. Berrocal, A. Corradi, S. K. Das, L. Foschini, and A. Zanni, “A survey on fog computing for the Internet of Things,” Pervasive and mobile computing, vol. 52, pp. 71–99, 2019.
  71. B. A. Mozzaquatro, C. Agostinho, D. Goncalves, J. Martins, and R. Jardim-Goncalves, “An ontology-based cybersecurity framework for the internet of things,” Sensors, vol. 18, no. 9, p. 3053, 2018.
  72. C. Vuppalapati, Building Enterprise IoT Applications. CRC Press, 2019.
  73. D. Miorandi, S. Sicari, F. De Pellegrini, and I. Chlamtac, “Internet of things: Vision, applications and research challenges,” Ad hoc networks, vol. 10, no. 7, pp. 1497–1516, 2012.
  74. Z. Bi, L. Da Xu, and C. Wang, “Internet of things for enterprise systems of modern manufacturing,” IEEE Transactions on industrial informatics, vol. 10, no. 2, pp. 1537–1546, 2014.
  75. M. U. Farooq, M. Waseem, S. Mazhar, A. Khairi, and T. Kamal, “A review on internet of things (IoT),” International journal of computer applications, vol. 113, no. 1, pp. 1–7, 2015.
  76. I. Farris, S. Pizzi, M. Merenda, A. Molinaro, R. Carotenuto, and A. Iera, “6lo-RFID: A framework for full integration of smart UHF RFID tags into the internet of things,” IEEE Network, vol. 31, no. 5, pp. 66–73, 2017.
  77. M. M. Hussain and M. S. Beg, “Fog computing for internet of things (IoT)-aided smart grid architectures,” Big Data and cognitive computing, vol. 3, no. 1, p. 8, 2019.
  78. H. Shah-Mansouri and V. W. Wong, “Hierarchical fog-cloud computing for IoT systems: A computation offloading game,” IEEE Internet of Things Journal, vol. 5, no. 4, pp. 3246–3257, 2018.
  79. A. Kiani and N. Ansari, “Edge computing aware NOMA for 5G networks,” IEEE Internet of Things Journal, vol. 5, no. 2, pp. 1299–1306, 2018.
  80. X. Liu and N. Ansari, “Green relay assisted D2D communications with dual batteries in heterogeneous cellular networks for IoT,” IEEE Internet of Things Journal, vol. 4, no. 5, pp. 1707–1715, 2017.
  81. N. Ahmed, H. Rahman, and M. I. Hussain, “An IEEE 802.11 ah-based scalable network architecture for Internet of Things,” Annals of Telecommunications, vol. 73, pp. 499–509, 2018.
  82. L. Xu and W. Zhuang, “Energy-efficient cross-layer resource allocation for heterogeneous wireless access,” IEEE Transactions on Wireless Communications, vol. 17, no. 7, pp. 4819–4829, 2018.
  83. Y.-J. Chen, L.-C. Wang, M.-C. Chen, P.-M. Huang, and P.-J. Chung, “SDN-enabled traffic-aware load balancing for M2M networks,” IEEE Internet of Things Journal, vol. 5, no. 3, pp. 1797–1806, 2018.
  84. S. Wang, L. Li, K. Wang, and J. D. Jones, “e-Business systems integration: a systems perspective,” Information Technology and Management, vol. 13, no. 4, pp. 233–249, 2012.
  85. L. Da Xu, W. He, and S. Li, “Internet of things in industries: A survey,” IEEE Transactions on industrial informatics, vol. 10, no. 4, pp. 2233–2243, 2014.
  86. H. Landaluce, L. Arjona, A. Perallos, F. Falcone, I. Angulo, and F. Muralter, “A review of IoT sensing applications and challenges using RFID and wireless sensor networks,” Sensors, vol. 20, no. 9, p. 2495, 2020.
  87. E. Ilie-Zudor, Z. Kemény, F. Van Blommestein, L. Monostori, and A. Van Der Meulen, “A survey of applications and requirements of unique identification systems and RFID techniques,” Computers in Industry, vol. 62, no. 3, pp. 227–252, 2011.
  88. C. Han, J. M. Jornet, E. Fadel, and I. F. Akyildiz, “A cross-layer communication module for the Internet of Things,” Computer Networks, vol. 57, no. 3, pp. 622–633, 2013.
  89. D. Guinard, V. Trifa, S. Karnouskos, P. Spiess, and D. Savio, “Interacting with the soa-based internet of things: Discovery, query, selection, and on-demand provisioning of web services,” IEEE transactions on Services Computing, vol. 3, no. 3, pp. 223–235, 2010.
  90. K. Gama, L. Touseau, and D. Donsez, “Combining heterogeneous service technologies for building an Internet of Things middleware,” Computer Communications, vol. 35, no. 4, pp. 405–417, 2012.
  91. D. D. Koo, J. J. Lee, A. Sebastiani, and J. Kim, “An Internet-of-Things (IoT) system development and implementation for bathroom safety enhancement,” Procedia Engineering, vol. 145, pp. 396–403, 2016.
  92. M. Abdel-Basset, G. Manogaran, and M. Mohamed, “Internet of Things (IoT) and its impact on supply chain: A framework for building smart, secure and efficient systems,” Future Generation Computer Systems, vol. 86, no. 9, pp. 614–628, 2018.
  93. K. Pal, “Internet of things and blockchain technology in apparel manufacturing supply chain data management,” Procedia Computer Science, vol. 170, pp. 450–457, 2020.
  94. O. Sutari, “Process improvement using lean principles on the manufacturing of wind turbine components–a case study,” Materials Today: Proceedings, vol. 2, no. 4–5, pp. 3429–3437, 2015.
  95. Z. W. Deng, “The embedded modules solution of household Internet of Things System and the future development,” Procedia Computer Science, vol. 166, pp. 350–356, 2020.
  96. V. S. A. A. Don, S. W. Loke, and A. Zaslavsky, “IoT-Aided Charity: An Excess Food Redistribution Framework,” in 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 2018, pp. 1–6.
  97. A. Saxena, K. Shinghal, R. Misra, and A. Agarwal, “Automated enhanced learning system using IoT,” in 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019, pp. 1–5.
  98. D. Mishra, A. Khan, R. Tiwari, and S. Upadhay, “Automated irrigation system-IoT based approach,” in 2018 3rd International conference on internet of things: Smart Innovation and Usages (IoT-SIU), 2018, pp. 1–4.
  99. A. Saxena, M. Tyagi, and P. Singh, “Digital Outing System Using RFID And Raspberry Pi With MQTT Protocol,” in 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 2018, pp. 1–4.
  100. S. K. Vishwakarma, P. Upadhyaya, B. Kumari, and A. K. Mishra, “Smart energy efficient home automation system using iot,” in 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019, pp. 1–4.
  101. L. Nóbrega, A. Tavares, A. Cardoso, and P. Gonçalves, “Animal monitoring based on IoT technologies,” in 2018 IoT Vertical and Topical Summit on Agriculture-Tuscany (IOT Tuscany), 2018, pp. 1–5.
  102. S. S. Siddula, P. Babu, and P. C. Jain, “Water level monitoring and management of dams using IoT,” in 2018 3rd international conference on internet of things: smart innovation and usages (IoT-SIU), 2018, pp. 1–5.
  103. F. Wu, T. Wu, and M. R. Yuce, “Design and implementation of a wearable sensor network system for IoT-connected safety and health applications,” in 2019 IEEE 5th World Forum on Internet of Things (WF-IoT), 2019, pp. 87–90.
  104. S. Ghazanfar, F. Hussain, A. U. Rehman, U. U. Fayyaz, F. Shahzad, and G. A. Shah, “Iot-flock: An open-source framework for iot traffic generation,” in 2020 International Conference on Emerging Trends in Smart Technologies (ICETST), 2020, pp. 1–6.
  105. S. Singh, B. Singh, B. Singh, and A. Das, “Automatic vehicle counting for IoT based smart traffic management system for Indian urban settings,” in 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019, pp. 1–6.
  106. R. K. Singhvi, R. L. Lohar, A. Kumar, R. Sharma, L. D. Sharma, and R. K. Saraswat, “IoT basedsmart waste management system: india prospective,” in 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019, pp. 1–6.
  107. B. P. Tiwari, A. Gupta, Y. Garg, and P. Pandey, “Smart Luggage Carrier,” in 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 2018, pp. 1–3.
  108. M. Khan and A. Tripathi, “Digital Patient Eye,” in 2018 3rd International Conference On Internet of Things: Smart Innovation and Usages (IoT-SIU), 2018, pp. 1–4.
  109. S. Ding, J. Cao, C. Li, K. Fan, and H. Li, “A novel attribute-based access control scheme using blockchain for IoT,” IEEE Access, vol. 7, pp. 38431–38441, 2019.
  110. A. Arya, A. Taliyan, P. Chauhan, and A. Gautam, “Smart Kitchen with new measurement, web and application based with affordable design,” in 2019 4th International Conference on Internet of Things: Smart Innovation and Usages (IoT-SIU), 2019, pp. 1–6.

Metrics

Metrics Loading ...

Most read articles by the same author(s)