An Adaptive Neuro Fuzzy Inference System (ANFIS) Based Relay Selection Scheme for Cooperative Wireless Sensor Network

Abstract

Cooperative communication in wireless sensor network has emerged a solution of energy limitation of sensor nodes. Relay selection in cooperative communication plays an important role to improve the performance of energy constrained networks. In such networks, to make balance between network lifetime (NL) and Bit Error Rate (BER) is the difficult task for the researchers. Although, the minimization of BER can be achieved by choosing best possible relay to destination link which has lowest path loss, but this solution cannot gives guarantee to enhance the NL because some nodes are frequently selected for retransmission of the information. On the other hand, increase the NL is possible by efficiently distribution of energy consumption among all the available relay nodes. In this paper, we propose an Adaptive Neuro Fuzzy Inference System based Relay Selection (ANFISRS) scheme where residual energy of the relay node and path loss of the channel are considered as an input parameters for the relay selection. ANFISRS makes balance between these two parameters for improving network lifetime and BER. Furthermore, the proposed method is compared with three existing strategies: Random Relay Selection, Maximum Residual energy based Relay Selection, and Minimum Energy Consumption based relay selection. The proposed scheme considerably reduces the BER while enhance the network lifetime over the existing strategies.