Application of Firefly and Flower Pollination Algorithm for Wireless Sensor Network Localization

Abstract

A wireless sensor network is a cluster of sensors that work communally to carry out a certain important job. The nodes that make up these sensor clusters have their own power and communication capabilities with the other nodes in the cluster. Identification of the sensor locations inside the cluster is necessary for accurate data analysis. Only then, based on the signal and position, can the appropriate action be done. In wireless sensor network (WSN), a select few sensor positions are referred to as anchors, and it is from such anchors that the positions of unknown sensors have been inferred. The location of the sensors is identified using firefly and flower pollination algorithms (FFPA) in this research work. The effectiveness of the proposed technique is assessed by evaluating their accuracy of the position and convergence rate. The firefly and flower pollination algorithms are utilized to detect the position of the unidentified sensor nodes after the ninth iteration. When we compare both algorithms, the firefly algorithm is incapable to discover the nodes which are available in the location area. From the results it is evident that the flower pollination algorithm successfully identifies all the unknown sensor locations.