Energy-Aware Distributed Topology Control for Coverage-Time Optimization in Clustering-Based Heterogeneous Sensor Networks

This paper proposes an energy-aware distributed topology control (EDTC) algorithm for coverage-time optimization unique to clustering-based heterogeneous sensor networks. The coverage-time is defined as the time until one of cluster heads (CHs) runs out of energy. CHs which are operated by EDTC move virtual picket nodes, indicators that determine the boundaries of cluster regions, for the load-balanced regulation of cluster regions in a distributed manner. Regulation of cluster regions leads the load-balanced energy consumption of CH which is in the region for coverage-time maximization. Through a performance evaluation of EDTC, we show that our algorithm for clustering-based heterogeneous sensor networks achieves desired properties