Published Paper Details:

A new generation of Wireless Sensor Networks (WSNs) has increased a massive attention of researchers on its design challenges and various applications. In the remote environment, sensor nodes are randomly deployed or pre-fixed to transmit the gathered information over a distance through wireless channels. Sensors in the network are limited with energy supply, memory, communication and computational capabilities. Due to energy constraint, nodes communicate within the shorter communication range. Hence, the energy efficiency, throughput, scalability and lifetime of the network are the key issues in WSN. In order to accomplish these issues, the clustering model has been introduced. At present, a cluster-based network is an extremely vibrant research area where nodes are grouped into clusters to minimize the communication overhead, energy depletion, end-to-end delay and ease the path management. In addition, clusters provide a structured way of communication for the unstructured network and make the resources more efficiently. The objective of this paper is to review and analyze the taxonomy of different attributes of clustering. The paper also presents the optimal clustering techniques and the prominent clustering algorithms with several design and performance metrics.