WSN (Wireless Sensor Network) is one of the most standardized administration network utilized and applicable in some business and modern applications, On of its account, its specialized main improvement in a processor, corresponding, and its lowest control use in registering or applicable gadgets. The network is worked with hubs that are mainly to watch the environmental measure like temperature, mugginess, weight, position or movement of objects or particles, sense and vibration, noise and furthermore. By increasing its lifetime, the power of safeguarding measures is essential and necessary to upgrade and to increase the lifetime of network in WSN. Algorithms that use clusters are especially developed to improve and increase the network lifetime. One of the main technique that is used to increase the network lifetime is Sensor node Clustering. In this technique, data can be mainly aggregated at the Cluster head. Particle swarm optimization (PSO) is one of the most basic, successful and advancement algorithm used to increase the lifetime of network. It helps in framing or grouping the clusters and the data is aggregated at the Cluster head and then it is passed to Base station (BS)

WSN, PSO, Cluster head, LEACH protocol

[1]Kennedy, Eberhart and Shi [1] and become first researcher to intend and identify for stylish behavior of fishes.
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[3] Rajeev Kumar, Dalip Kumar proposed “Hybrid Swarm Intelligence Energy Efficient based Clustered Routing Algorithm for WSN” published on Hindawi Publishing Corporation, in the Journal of Sensors Volume in 2016.
[4] Varsha Gupta, Shashi Kumar Sharma proposed an “Cluster Head Selection Using some Modified ACO” held on Fourth International Conference on the Soft Computing for Problem Solving the Springer in 2015.
[5] Sunil R. Gupta, Dr. N.G. Bawane, proposed an “A Clustering Solution for WSN based on Energy Distribution &GA”, held on International Conference on Emerging Trends in Engineering and Technology.
[6] Raghavendra V. Kulkarni, Senior Member, IEEE, and Ganesh Kumar Venayagamoorthy, Senior Member, IEEE “Particle Swarm Optimization in WSN: A Brief Survey’’
[7] S. K. Singh, M. Singh, and D. Singh, paper on “A survey of energy efficient hierarchical cluster-based routing in WSN,``
[8] Kuila, P., & Jana, P. K. proposed Energy efficient clustering and routing algorithms mainly for WSN: PSO Engineering Applications related of AI, 33, 127-140.
[9]Singh, A. (in the year 2016). Proposed a LEACH based energy efficient routing protocol, WSN. International Conference held on ELE, ECE, and OT (ICEEOT), 4654-4658
[10] Fateh boutekkouk, Fatima Taibi, Khawla Meziani proposed “A hybrid approach to increase the lifespan of heterogeneous WSN” held The 6th International Conference on Emerging Ubiquitous Systems and Pervasive Networks.
[11] Rejina Parvin, Vasanthanayaki C, “Particle Swarm Optimization based Clustering by preventing residual nodes in WSN”, IEEE Sensors Journal, 1530-437X IEEE, 2015.
[12] P.Leela, K.Yogitha “Hybrid Approach for Energy Optimization in WSN” held International Conference on Innovations in Engineering and Technology ICIET.
[13] Wei Qu, Mengmeng Yang, “An Energy efficient Routing Control Strategy Based on Genetic Optimization”, IEEE, in June 29 to July 4 in 2014.
[14] X. Liu, “Atypical hierarchical routing protocols for WSN A review,`` IEEE Sensors J., vol. 15, no. 10, pp. 5372_5383, in the year Oct. 2015.