Fire-LEACH: A Novel Clustering Protocol for Wireless Sensor Networks based on Firefly Algorithm
Clustering protocols have proven to increase the network throughput, reduce delay in packet transfer and save energy. Hence, in this work, we propose a novel clustering protocol that uses firefly algorithm inspired approach towards improving the existing basic LEACH protocol for reduction in steady-state energy consumption, aiming to enhance the network lifetime. The simulated results prove that implanting these kinds of computational intelligence into the pre-existing protocols considerably improves its performance.
Ming Xu, Guangzhong Liu, “A Multipopulation Firefly Algorithm for Correlated Data Routing in Underwater Wireless Sensor Networks”, International Journal of Distributed Sensor Networks, Volume 2013, Article ID 865154, 14 pages.
Geoffrey Werner-Allen, Geetika Tewari, Ankit Patel, Matt Welsh, Radhika Nagpal, “Fireﬂy-Inspired Sensor Network Synchronicity with Realistic Radio Effects”, Proc. of SenSys’05, November 2–4, 2005, San Diego, California, USA.
Song Cao, Jianhua Wang, Xingsheng Gu, “A Wireless Sensor Network Location Algorithm Based on Firefly Algorithm”, Proc. of AsiaSim 2012, pp 18-26, Springer.
Wendi Rabiner Heinzelman, Anantha Chandrakasan, Hari Balakrishnan, “Energy-Efﬁcient Communication Protocol for Wireless Microsensor Networks”, Proc. of 33rd Hawaii International Conference on System Sciences – 2000,IEEE.
Xin –She Yang, “ Nature- Inspired Metaheuristic Algorithms: Second Edition”, Luniver Press, UK, 2008.
E.Sandeep Kumar, S.M. Kusuma, B.P. Vijaya Kumar, “Clustering Protocol for Wireless Sensor Networks based on Rhesus Macaque (Macaca mulatta) Animal’s Social Behavior”, International Journal of Computer Applications (IJCA), Vol.87(8), pp 20-27, feb-2014, Foundations of Computer Science, USA.
Bharathi M.A, B.P. Vijayakumar, D.H. Manjaiah, “Cluster Based Data Aggregation in WSN Using Swarm Optimization Technique”, IJEIT, Volume 2, Issue 12, June 2013.
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