Abstract: This paper presents a new clustering protocol for designing energy-efficient hierarchical wireless sensor networks (WSNs) by optimizing the distributed sensor network to satisfy the scalability and prolong the network lifetime in large-scale applications. The proposed approach is a distributed optimization clustering technique called DOCT, which is based on individual maximum weight and parameterized calculation. In the DOCT protocol, the size of clusters is based on the distance of nodes from the data link such as base station (BS) and the local node density. The cluster heads are elected based on the average mean distance from neighbors, remaining energy and the times of being elected as cluster head. The performance of the DOCT protocol is compared with some well-known clustering protocols in literature such as the LEACH, HEED, WCA, GCMRA and TCAC protocols. The results confirm that the ideas decrease the construction time and the energy consumption of clustering progress in sensor networks and consequently improve the lifetime of networks with limited resources and battery powered nodes in harsh and inaccessible environments.
Keywords: Optimization clustering Technique, Wireless Sensor Network, Global Optimization.