Abstract
Vehicular Ad hoc Networks (VANETs) an important category in networking focuses on many applications, such as safety and intelligent traffic management systems. The high node mobility and sparse vehicle distribution (on the road) compromise VANETs network scalability and rapid topology, hence creating major challenges, such as network physical layout formation, unstable links to enable robust, reliable, and scalable vehicle communication, especially in a dense traffic network. This study discusses a novel optimization approach considering transmission range, node density, speed, direction, and grid size during clustering. Whale Optimization Algorithm for Clustering in Vehicular Ad hoc Networks (WOACNET) was introduced to select an optimum cluster head (CH) and was calculated and evaluated based on intelligence and capability. Initially, simulations were performed, Subsequently, rigorous experimentations were conducted on WOACNET. The model was compared and evaluated with state-of-the-art well-established other methods, such as Gray Wolf Optimization (GWO) and Ant Lion Optimization (ALO) employing various performance metrics. The results demonstrate that the developed method performance is well ahead compared to other methods in VANET in terms of cluster head, varying transmission ranges, grid size, and nodes. The developed method results in achieving an overall 46% enhancement in cluster optimization and an F-value of 31.64 compared to other established methods (11.95 and 22.50) consequently, increase in cluster lifetime.
Publisher
Public Library of Science (PLoS)
Reference37 articles.
1. Providing End-to-End Security Using Quantum Walks in IoT Networks;Ahmed A. Abd El-Latif;IEEE Access,2020
2. Hadded M, Zagrouba R, Laouiti A, Muhlethaler P, Saidane LA, editors. A multi-objective genetic algorithm-based adaptive weighted clustering protocol in vanet. Evolutionary Computation (CEC), 2015 IEEE Congress on; 2015: IEEE.
3. Dewri R, Poolsappasit N, Ray I, Whitley D, editors. Optimal security hardening using multi-objective optimization on attack tree models of networks. Proceedings of the 14th ACM conference on Computer and communications security; 2007: ACM.
4. Optimal haptic communications over nanonetworks for E-health systems;Li Feng;IEEE Transactions on Industrial Informatics,2019
5. A survey of routing protocols in wireless body sensor networks;Javed Iqbal Bangash;Sensors,2014
Cited by
48 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献