Published Paper Details:

A Wireless Sensor Network (WSN) is a self-organized network consisting of thousands of low-powered and lightweight systems, and these systems are extremely energy-restricted. The paths for data transfer are chosen to optimize network life in wireless sensor networks(WSNs) in a really manner that maximum power produced across the route is reduced. Sensor nodes are also clustered into disjoint, non-overlapping subgroups, name cluster , to make maximum usability and improved data aggregation. Energy therefore plays a vital role in communication among the nodes of the sensors, as lack of energy can impact the livelihood of the nodes. Energy conservation is also essential for preserving the durability of the network. The suggested clustering of K-means for minimizing energy consumption using cuckoo search (CS) is able to withstand the loss of sensor nodes to maintain uninterrupted communication. The sensor nodes in the cluster will aggregate data to cluster head which later transmit data to base station. The shortest path will be established from cluster head to base station using cuckoo search algorithm with the aid of heterogeneous network. In this work, a protocol for minimizing the energy consumption with efficient clustering using K-means and Cuckoo Search for wireless sensor network is implemented. We also compare the results of proposed approach with existing based on various parameters like number of alive nodes , throughput, minimum energy of sensor nodes ,number of dead nodes.