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Decentralized IoB for Influencing IoT-based Systems Behavior
IEEE International Conference on Communications
  • Haya Elayan
  • Moayad Aloqaily, Mohamed bin Zayed University of Artificial Intelligence
  • Fakhreddine (Fakhri) Karray, Mohamed bin Zayed University of Artificial Intelligence
  • Mohsen Guizani, Mohamed bin Zayed University of Artificial Intelligence
Document Type
Conference Proceeding

Recently, IoT devices have become affordable to support various types of applications which have encouraged their usability in data collection, behavior tracking, and pattern analysis to gain knowledge to achieve certain goals. The Internet of Behavior (IoB) allows organizations and individuals to achieve all of this simultaneously. Various technologies and approaches can be used to support IoB systems to operate efficiently, such as 6G networks and decentralized systems structure that support IoT-based systems to distribute operations across devices and influence each device individually. Therefore, this paper proposes a decentralized IoB framework for achieving energy sustainability by tracking, analyzing, and influencing IoT devices' behavior. The collected results from an extensive decentralized IoB electrical power consumption experiment show that the decentralized system achieved higher accuracy compared to the centralized system, thus sending 3.5% fewer alerts and saving 3.4% more power for 3 sub-meters over a period of 500 hours. © 2022 IEEE.

Publication Date
  • Decentralized systems,
  • Deep Learning,
  • IoB,
  • IoT

IR Deposit conditions: non-described

Citation Information
H. Elayan, M. Aloqaily, F. Karray and M. Guizani, "Decentralized IoB for Influencing IoT-based Systems Behavior," in ICC 2022 - IEEE International Conference on Communications, 2022, pp. 3340-3345, doi: 10.1109/ICC45855.2022.9839241.