An Improved Energy-Efficient Clustering Algorithm Based on MECA and PEGASIS for WSNs

Wireless sensor networks (WSNs) with one static sink often suffer from energy hole problem, which means energy consumption of certain sensors near the sink or on critical path is much faster than other sensor nodes. Finally, network partition and isolated nodes are caused. To solve this problem, we propose an Energy-Efficient Strategy Enhancing Lifetime for WSNs based on MECA and PEGASIS. This algorithm aims at minimizing and balancing energy consumption for all sensor nodes and cluster heads. We divide the network into several equal clusters and the intra-cluster routing exploits multi-hop routing to save energy. The cluster heads will connect a chain such as PEGASIS, which can avoid distant cluster head from sending data to the sink node. Simulation results show that our proposed routing algorithm consumes much less than traditional routing algorithm like LEACH.