The recent advancement in WSNs has drawn its attentive toward number of researchers as it is supportive to the wide range of applications. During the routing mechanism in WSN, the tiny sensors powered with batteries can be expired soon. Number of solutions have been proceeded so far to resolve this issue, and the ring routing protocol is one among them. The ring routing protocol is an energy‐proficient mobile sink routing protocol that can be easily accessible and configures based on the virtual ring composition. Moreover, ring routing is a hierarchical routing protocol with a mobile sink in WSN that uses greedy geographic routing. In this research work, an energy‐aware ring routing protocol is developed based on the defined multi‐objective. Initially, the ring is constructed with a pre‐defined radius and the normal nodes now send data to the sink node via the constructed ring structure. More particularly, the nodes near the sink deplete faster than the other nodes and introduce overhead in terms of “energy consumption and packet delays.” When a ring node tends to exhaust, then its neighbor switches its role automatically, and this selection of the normal node as the ring node is accomplished optimally on the basis of the defined multi‐objectives like energy italicEn, distance between the ring node and the regular node disring‐reg and distance between network centers to regular node normalΔdisitalicNC−ring. As optimization has a key role in selecting the neighbors as the ring nodes, a new optimization model referred to as Moth Integrated Firefly Algorithm (MIFA) is introduced in this research work. The performance of the proposed model is compared over other conventional models with respect to throughput, energy dissipation, and transmission delay as well.

Typically, wireless sensor networks (WSNs) are used to monitor as well as detect different kinds of objects in realistic monitoring, where security remains as a major confront. Estimation of node trust is established to be an effectual way of enhancing the security, thus aiding in nodes collaboration and decision-making in wireless and wired networks. Nevertheless, conventional methods of trust management generally highlight on trust modeling and fail to notice the overhead issues. In this paper, a security aware ring cluster routing technique is introduced. The routing is undergone based on the multi-objectives including trust (security) parameters, energy, and distance. Here, the trust parameters include both the direct trust evaluation and indirect trust evaluation. Thereby, the lifetime of the network gets maximized even with secured manner. An innovative Self-Adaptive Deer Hunting Optimization (SA-DHO) is presented in this study because the optimization plays a significant role in selecting the neighbors as ring nodes. Finally, the superiority of the suggested approach is demonstrated in relation to various measures.