An Evolutionary Secure Energy Efficient Routing Protocol in Internet of Things

Recently, Internet of Things (IoT) devices are highly utilized in diverse fields such as environmental monitoring, industries, smart home etc. Under such instance, a cluster head is selected among the diverse IoT devices of wireless Sensor Network (WSN) based IoT network to maintain the reliable network with efficient data transmission. To accomplish the efficient cluster head selection, we have used Fuzzy C-Means (FCM) clustering algorithm. Therefore, it is necessary to implement secure energy aware routing protocol in IoT. This paper proposed a novel method with the combination of Optimal Secured Energy Aware Protocol (OSEAP) and Improved Bacterial Foraging Optimization (IBFO) algorithm. The aforesaid challenges against the secure energy awareness objective under IoT are not yet dealt by any researchers. Furthermore, the Optimal Secured Energy Aware Protocol (OSEAP) and Improved Bacterial Foraging Optimization (IBFO) algorithm is one of the best methods to save more energy with security among the nodes. The performance analysis in terms of delay, throughput, and energy determined by comparing the proposed method with the existing method Secure Energy aware routing protocol (SEAP). Thus, the analysis of our implementation reveals the superior performance of the proposed method.