Intelligent Decision Making Algorithm for Balanced Cluster Formation in Wireless Sensor Networks

Abstract

In this paper, we propose an optimal cluster-based multiple sink reconnection technology for wireless sensor networks using a hybrid optimization algorithm. The proposed design used an intermediate sensor / mobile node next to the sink node and a sensor node ready to transmit data. Here, the weighted k-mean algorithm is converted to a cluster node. The optimal cluster head code was chosen using a mass optimization method that targets the available energy and available bandwidth for successfully transferring data without node optimization. So with resource updates, you can find the right location for your sink node for better data transfer.