Apply Firefly Optimization to Increase Period Routing Algorithm in Wireless Sensor Networks

Abstract

In this paper introduce new algorithm to increase the periods of wireless sensor network (WSNs) lifetime using firefly optimization algorithm. WSNs consist of tiny power and energy inhibited sensor nodes. The sensor's data collected by neighboring sensor nodes have spatial-temporal associations, also has data aggregation technique which used as active method to remove data redundancy. The efficient network has used data aggregation technique by decreasing the amount of data delivery which results in low cost power and longer network lifetime. The research introduces optimal data delivery in WSNs to make data aggregation, control power consumption for each node and maximize the network lifetime. The paper used firefly algorithm (FA) to choose an optimal points of data aggregation to further optimize the result. This algorithm balance the power of sensor nodes and increase the lifetime of the network. Results show that the proposed approach has considerably enhanced the network lifetime.