Performance Analysis of BEEM using Fuzzy Logic in Wireless Sensor Network
Advances in wireless sensor network technology provides the availability of small and low-cost sensor nodes which has capability of sensing various types of physical and environmental conditions, data processing, and wireless communication. This sensing capability results in extremely large amount of application areas. However, the characteristics of wireless sensor networks require more effective method for data forwarding and processing. To upgrade the energy utilization, clustering is one of the prototypical approaches to split sensor nodes into a number of clusters where one node proceeds as a cluster head (CH). CH selection is one of the optimization techniques for enlarging stability and network lifespan. Balanced energy efficiency (BEE) clustering algorithm and its multihop version (BEEM) exceeds HEED and LEACH in two ways: 1) System operating time, 2) System operating quality. In BEEM, local density and residual power are used as CH selection conditions. BEEM can provide better network coverage and longer overall lifetime. Fuzzy logic technology is used to expand energy level of BEEM protocol by using Fuzzy inference system. This paper presents protocol BEEM using Fuzzy logic (BEEM-FL) CH by taking into account linguistic variables such as energy, concentration, centrality and distance to base station. Simulation result shows that our proposed method gives more effective result in term of a lifespan of network and stability as compared to the performance of other clustering protocols.
Keywords: Clustering, energy models, fuzzy logic, BEEM, wireless sensor network
Cite this Article: Neha Rana, Harjit Pal Singh, Vikas Khullar. Performance Analysis of BEEM using Fuzzy Logic in Wireless Sensor Network. Journal of Mobile Computing, Communications & Mobile Networks. 2020; 7(1): 31–38p.
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