Minimizing Remote Monitoring Service Cost of Wireless Sensor Networks Using Krill Swarm Optimization

In wireless sensor networks (WSN), for reliability, load balancing and security reason, various sinks, for the most part, sent for gathering different copies of checking data, which causes high vitality use and network lifetime diminishment. Sensors are in charge of detecting and transferring information, and gateways are furnished with 3G/4G radios and can store the gathered information from sensors incidentally and transmit the information to the remote server farm through a third party correspondence benefit. In this paper, consider remote monitoring center through a third party telecommunication service. For this situation service cost assessment in WSN, the cluster the networks used by possibilistic fuzzy C means clustering strategy and minimize the service cost of network with the help of enhanced krill swarm optimization, create an issue of amplifying network throughput with negligible service cost with a target to expand the measure of information gathered by all passages while limiting the service cost. From that re-imagined network, throughput is ensured with the greatest lifetime and information design in the Airtel network with the least cost. From the simulation analysis, outcome exhibit the proposed algorithm outperforms different algorithm in terms of service cost and performance measures.