Published Paper Details:

Wireless sensor networks have attracted the attention of researchers in recent decades. Due to the rapid change in the technology along with faster-growing usefulness and need in different areas. Thus, the size of the sensors became very small. Sensor's basic operations are sensing, processing, and transferring data to the base station. These operations require energy especially the transmission. Since they have very limited power, that is too difficult to recharge or replace in some Nature-inspired algorithm scenario. So, for uninterrupted services, the utilization of the battery power becomes a more critical concern. In this research paper, for dealing with the problem of better energy utilization a new clustering method has been developed. The nature-inspired Firefly algorithm has been used for the cluster head selection based on nodes centrality, energy, and distance to the base station. Firefly algorithm is proved to be a better technique due to faster convergence. This proposed method has been evaluated against the Low Energy Adaptive Clustering Hierarchy (LEACH) protocol, at various performance metrics. The results show the stability period increased by 23 % and the mortality rate decrease. Also, the overall network life is increased by 18 %. It performs very well results show that it is beneficial to use the Firefly algorithm since it improves the performance of the wireless sensor network.