Node Degree Based Clustering for WSN
Wireless Sensor Network (WSN) is widely used for monitoring and gathering data in an autonomous fashion. Since sensors are small and power constrained devices, it is the most important to minimize the energy consumption. The authors propose Node Degree Based Clustering (NDBC) for enhancing life time of heterogeneous wireless networks. In this paper, two types of sensor nodes, i.e., advanced and normal nodes are used. Advance nodes are having more energy than normal nodes. The advanced nodes are selected as cluster head based on its energy and node degree in the network. Normal nodes are used for sensing and data forwarding.