Title

Decentralized IoB for Influencing IoT-based Systems Behavior

Document Type

Conference Proceeding

Publication Title

IEEE International Conference on Communications

Abstract

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.

First Page

3340

Last Page

3345

DOI

10.1109/ICC45855.2022.9839241

Publication Date

8-11-2022

Keywords

Decentralized systems, Deep Learning, IoB, IoT

Comments

IR Deposit conditions: non-described

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