• Mrs. Sambu Anitha
• Dr. T. Suresh
• Dr.V.Sathiyasuntharam

A wireless sensor network (WSN) is an infrastructure-less network that has low cost, compressed sensor nodes (SNs)for monitoring the physical environments. WSN role a crucial play in surveillance and tracking applications such as precision agriculture, environmental monitoring, natural disaster prevention, smart cities, weather predicting, disaster management, border surveillance, and so on. Due torestricted and non-rechargeable batteries, the accessible energy of nodes is employed effectively. The clustering approachsplits the network and groups the neighboring nodes as clusters. The clustering technique was referred to as NP hard optimized problem and function of meta-heuristics isextremelyhigherthan the capabilityfor resolving continuous optimized problems. The routing system was required to send the data betwixt the SNs as well as base stations (BS), for establishing communications. The CH selection and routing procedure are assumed that NP hard problem and swarm intelligence (SI)approaches are utilized for resolving it. With this motivation, several researchers have concentrated on the design of swarm intelligence based clustering protocols to accomplish maximum energy efficiency and network lifetime in WSN. Numerous works have been developed on accomplishing energy efficiency via clustering and routing techniques in WSN. Therefore, this article aims to offer a detailed performance analysis of different cluster based routing techniques available in WSN. The paper mainly focused on the metaheuristic optimization algorithms for cluster based routing in WSN. In addition, the system model and energy model widely followed in WSN are explained briefly. Finally, a detailed experimental result analysis of different cluster based routing models takes place under different measures.

Wireless sensor networks; Clustering; Routing; Energy efficiency; Metaheuristics

"Comparative Study of Metaheuristics Cluster based Routing Protocols for Energy Aware Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 9, page no.b328-b340, September-2022, Available :http://www.jetir.org/papers/JETIR2209141.pdf

"Comparative Study of Metaheuristics Cluster based Routing Protocols for Energy Aware Wireless Sensor Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 9, page no. ppb328-b340, September-2022, Available at : http://www.jetir.org/papers/JETIR2209141.pdf