Efficient Routing for Maximizing Lifetime using Nature Inspired Algorithm in Wireless Sensor Network

Recent advancements in semiconductors and material science technologies give rise to the Wireless Sensor Network (WSN). Latest advances in remote interchanges and hardware have empowered the improvement of minimal effort, low-control, multifunctional sensor nodes that are little in measure and impart untethered in short distances. Nature Inspired Algorithms have been successfully implemented in WSN to address various challenges of it. It provides adaptive mechanisms that exhibit intelligent behavior of nature in complex and dynamic environments in WSNs. Wireless Sensor Network is energy limited. The purpose of the research is to form efficient routes using an algorithm which is inspired by foraging behavior of ants that enhances network lifetime by reducing node�s energy consumption by selecting the optimal route. The process of establishing paths from a source to a sink across one or more relays is called routing and the route is formed based on the probabilistic rule of Ant Colony Optimization (ACO). The proposed algorithm includes the route discovery and route maintenance process. Our proposed algorithm, obtain more balanced transmission among the nodes and reduce the energy consumption of the routing and therefore extends the network lifetime