Academic Journal

An Efficient Game Theory Based Multi-Objective Decision and Clustering (EGMDC) for Wireless Body Area Networks (WBANs)

التفاصيل البيبلوغرافية
العنوان: An Efficient Game Theory Based Multi-Objective Decision and Clustering (EGMDC) for Wireless Body Area Networks (WBANs)
المؤلفون: Rasmita Kumari Mohanty, Chinimilli Venkata Rama Padmaja, Suresh Kumar Kanaparthi, Srinivas Kanakala, K. Ravikiran, Janjhyam Venkata Naga Ramesh, Sachi Nandan Mohanty, Mukkoti Maruthi Venkata Chalapathi
المصدر: IEEE Access, Vol 12, Pp 163198-163223 (2024)
بيانات النشر: IEEE
سنة النشر: 2024
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: Clustering, multi-objective decisions, game theory, Nash equilibrium, reinforcement learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Recent studies have highlighted the importance of implementing clustering schemes in Wireless Body Area Networks (WBANs) to address challenges such as scalability, network topology changes, spectrum scarcity, and management. However, many existing approaches focus only on conventional performance metrics and overlook the integration of spectrum trading and efficient spectrum utilization. This paper proposes a novel clustering control scheme based on fuzzy logic and Nash equilibrium to enhance scalability, network stability, and resource management in WBANs. Our approach employs multi-criteria decision-making to optimize cluster head (CH) selection and routing strategies using reinforcement learning to achieve quality of service (QoS). Additionally, a secure lightweight Diffie-Hellman key exchange is used to protect data transmission. The proposed protocol outperforms existing protocols, including TAFLR, EQRSRL, and SEBA, in terms of throughput (3.2 kbps), packet delivery ratio (93%), delay (0.31 s), cluster efficiency (95%), and energy consumption (0.43 J).
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: https://ieeexplore.ieee.org/document/10741227/; https://doaj.org/toc/2169-3536; https://doaj.org/article/5c2d54c18f5d4669a1c47a89b2f95e5d
DOI: 10.1109/ACCESS.2024.3489631
الاتاحة: https://doi.org/10.1109/ACCESS.2024.3489631
https://doaj.org/article/5c2d54c18f5d4669a1c47a89b2f95e5d
رقم الانضمام: edsbas.9839BAC0
قاعدة البيانات: BASE
الوصف
DOI:10.1109/ACCESS.2024.3489631