• Sakshi Agarwal
• Anwar Hussain Joya

Advances to the user-friendly interface, size, or cost of deployment for wireless sensors have led to a range of clever wireless sensor network (WSNs) applications. However, other challenges, such as the efficiency of energy, long life, or reliability of communication, limit their wide use. A clustering approach aims to increase the reliability of data transfer by separating sensor nodes (SNs) into small groups. though, inappropriate selection of cluster head ( CH) can influence network life, average network energy as well as other quality of service (QoS) parameters. The goal of this paper is to maximize the power consumption, network life, or network lifetime with a hybrid technique for cluster head (CH) selection. The formulated fitness method is used for an optimal clustering of cluster heads for energy reduction or load balance. A new exercise function-based hybrid clustered protocol is proposed. The Fuzzy inference system is used for the clustering algorithm efficient clustering process. Meanwhile, a minimum spanning tree named Dijkstra algorithm is also constructed to establish the connection between the nodes for finding the shortest and secure path for data transmission hence resulting in faster data sending and receiving process

WSN, CH selection (CHS), Residual energy (RE), Lifetime, Energy-efficient (EE)

"A hybrid Optimization Technique based Energy Efficient Cluster Head Election in WSN Using Dijkstra Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 6, page no.439-444, June 2019, Available :http://www.jetir.org/papers/JETIR1908C55.pdf

"A hybrid Optimization Technique based Energy Efficient Cluster Head Election in WSN Using Dijkstra Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 6, page no. pp439-444, June 2019, Available at : http://www.jetir.org/papers/JETIR1908C55.pdf