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Relay Node Selection in Wireless Sensor Network Using Fuzzy Inference System

Nitin Kumar Jain 1,2, Ajay Verma 2
1. IPS Academy, Institute of Engineering and Science, Indore, India.
2. Institute of Engineering and Technology, Devi Ahilya University, Indore, India.

Abstract—Wireless Sensor Network (WSN) is continuously evolved with the advancement of wireless technologies. The dominating targets that control the WSN are energy and throughput of the network. Aiming to balance these targets, this paper proposed new relay node selection scheme based on Fuzzy Inference algorithms (RNSFIA) that give preference to communication distance between nodes, the degree of communication regarding intermediate nodes and priority on residual energy with the nodes. This included numerous level and various target improvement while selecting a relay node on every round of transmission. Further the results are compared with the Modified Low Energy Adaptive Clustering Hierarchy (MLEACH) algorithm. The performance of proposed RNSFIA is not only improving the network throughput from 35-40 percent but also increase the lifetime of the network from 50-60 percent. We recommend further to add more levels and targets that includes communicating bandwidth to tune the optimal utilization of network resources.
Index Terms—Wireless sensor network, throughput, fuzzy inference system, network life lime, relay node, RNSFIA.

Cite: Nitin Kumar Jain and Ajay Verma, "Relay Node Selection in Wireless Sensor Network Using Fuzzy Inference System," Journal of Communications, vol. 14, no. 6, pp. 423-431, 2019. Doi: 10.12720/jcm.14.6.423-431.