Load Balanced Connection Aware Clustering Algorithm for Wireless Sensor Networks
Wireless sensor networks have concerned significant attention over the past few years. A growing list of monitoring and tracking applications can employ WSNs for increased effectiveness; especially in hostile and remote areas. In these applications a large number of sensors are needed and requiring effective management of the network. Forming clusters has been the most popular approach to support scalability and energy efficient transmission in Wireless sensor networks (WSN). Significant attention has been paid to clustering strategies and algorithms yielding a large number of publications. In this paper, we propose Load Balanced Connection Aware Clustering algorithm (LBCACA) to make clusters and choose cluster head in WSNs. It considers sensor node status, connection condition, connection density, distance from base station and transmission count to find effective cluster head and build clusters.
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