GMCA: a greedy multilevel clustering algorithm for data gathering in wireless sensor networks
International Journal of Communication Networks and Distributed Systems
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Data gathering is a major function of many applications in wireless sensor networks (WSNs). In this paper, An Effective Data Gathering scheme for heterogeneous energy WSNs (EDGA) is proposed. EDGA achieves a good performance in terms of lifetime by minimizing energy consumption for in-network communications and balancing the energy load. EDGA adopt a simple but efficient method to solve the area coverage problem in a cluster range, namely intra-cluster coverage. Finally, the simulation results demonstrate that the proposed EDGA significantly outperforms LEACH, HEED in terms of network lifetime and the amount of data gathered in the heterogeneous energy network.