Hybrid optimization of developed DEEC protocol for enhanced energy efficiency in IoUT

Ali, Elmustafa Sayed and Saeed, Rashid A and Eltahir, Ibrahim Khider and Khalifa, Othman Omran and Elbasheir, Mohammed S and Saeed, Mammon M. (2024) Hybrid optimization of developed DEEC protocol for enhanced energy efficiency in IoUT. In: 9th International Conference on Mechatronics Engineering (ICOM 2024), 13th - 14th August 2024, Kuala Lumpur, Malaysia.

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Abstract

On the Internet of Underwater Things (loUT), underwater nodes (UNs) have limited power supplies, and the underwater environment poses challenges to such applications, making energy efficiency and network stability critical. The Optimized Distributed Energy-Efficient Clustering (ODDEEC) protocol is presented in this study. It offers improved energy efficiency and routing decisions by combining Q-Iearning with Artificial Bee Colony (ABC) optimization. Detailed simulations have been conducted to evaluate how well the approach will perform over time. According to the results, ODDEEC performs noticeably better in terms of energy usage, packet delivery ratio, and network lifetime than other protocols, including Developed DEEC (DDEEC) and Distributed Energy Efficient Clustering (DEEC). Using the artificial bee colony (ABC) algorithm for adaptive resource management and Q-Iearning for dynamic routing optimization, the proposed protocol makes it possible for ODDEEC to maintain network sustainability and stability even with extended operational overhead. The results show that the ODDEEC reduces the network energy consumption by 13.64 % and 25% for DDEEC and DEEC respectively. This overall performance demonstrates the hybrid approach's efficiency, which makes it an enhanced solution to energy consumption in 10 Utnetworks.

Item Type:	Proceeding Paper (Plenary Papers)
Additional Information:	4119/114444
Uncontrolled Keywords:	IoUT, DEEC, Clustering Approach, Meta-heuristic, DDEEC, ABC, Q-learning, ODDEEC
Subjects:	T Technology > T Technology (General) T Technology > T Technology (General) > T10.5 Communication of technical information T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Engineering Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User:	Prof. Dr Othman O. Khalifa
Date Deposited:	17 Sep 2024 14:21
Last Modified:	27 Sep 2024 10:44
URI:	http://irep.iium.edu.my/id/eprint/114444

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