Abstract
Wireless Sensor Networks (WSNs) play a vital role in data transmission based on the location of Sensor Nodes (SNs). The WSN contains Base Station (BS) with several SNs and these nodes are randomly spread in the region. The BS is to give the commands and directions to the SN. Nowadays, an energy consumption and lifetime are the major issues in the WSN. Hence, an efficient clustering and routing mechanism are implemented based on a popular Neural Network (NN) concept: Recurrent Self Organizing Map (RSOM) (RSOM-WSN). In this paper, the life time of SNs and energy consumption of the proposed method is compared with state-of-art techniques of clustering and routing in WSN: LEACH-WSN, PSO-PSO-WSN, FCM-PSO-GSO, and EBC-S.
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