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A novel green stable evolutionary routing algorithm for energy efficiency in WSNS

Wireless Sensor Networks (WSNs) consist of a set of low power sensor nodes along with gateways and base station for specific task. These low power sensor nodes consume energy for data routing to destination i.e., sink. Sensor node dies once it all energy is exhausted. This creates an unstable network. Hence, it is a key challenging task to increase the stability period of the network i.e., the time interval before the first node is dead. To address this key problem, in this paper a novel evolutionary based routing algorithm named Green Stable Evolutionary Routing Algorithm (GSERA) is proposed. This algorithm aims at prolonging the stability period. This in response improves the energy efficiency and reliability of the WSNs. The simulations of GSERA over 45 WSNs is found and compared with the state-of-the-art evolutionary based Evolutionary Routing Protocol (ERP). We found that GSERA ensures longer stability period than ERP.