Intelligent Routing in Wireless Sensor Network Based on African Buffalo Optimization

Abstract

Applications of wireless sensor network (WSN) have experienced a rapid growth recently due to the heterogeneous nature of network topology. At different levels, different entities such as source node, sink node, hop nodes and base station (BS) in WSN are positioned at remote locations to perform specific assigned operations. Since each sensor node in WSN employs battery having limited capacity, it is imperative to determine optimal routing which otherwise may lead to network transmission failure. This present work aims to introduce a new approach based on the African buffalo optimization (ABO) routing in the WSN. ABO is a nature-inspired combinatorial optimization technique based on the behavior of African buffalos. Here, ABO acts as the main controller of the WSN and manages all the sensor nodes in correspondence with the BS. It also helps to transfer data packets from the source node to the sink node efficiently. Further, it enhances the network lifetime and improves other performance metrics of the WSN.