Energy Efficient WSN with Cluster Head Rotation Algorithm for Underground Mine Supervising Environment

Abstract: Underground mines are more hazardous in nature and always contain unsafe for their workers. Every year, underground mining causes huge losses due to accidents and disaster. There is the need to develop an effective, secure, reliable and low-cost surveillance and safety system in underground mine environments. Wireless Sensor Networks (WSNs) are increasingly being used for such application. Since wireless sensor nodes are highly energy constrained devices and they have limited battery life due to various constraints of sensor nodes such as size and cost, etc. Therefore, optimal usage of node energy is the major challenge in wireless sensor networks. Clustering of sensor nodes is an effective method to use the node energy optimally and prolong lifetime of such energy constrained wireless sensor networks. In this paper, we propose an energy efficient wireless sensor node with cluster head rotation algorithm for supervising the underground mine environment. Proposed clustering algorithm ensures balanced size cluster formation and it has been proposed to achieve balanced energy consumption among nodes.

Keywords: Wireless Sensor Networks (WSNs), Clusters, Cluster head, and Underground mines