An novel energy-efficient redundant routing tree algorithm for wireless sensor networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Web based poultry farm monitoring system using wireless sensor network
Proceedings of the 7th International Conference on Frontiers of Information Technology
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Wireless sensor networks (WSNs) have received more and more attention due to the limited energy of battery-powered nodes, but rarely consider the maximum lifetime and the shortest path at the same time. In this paper, we present an energy-efficient algorithm for maximum lifetime and minimum routing (EE-MLMR) in wireless sensor networks. EE-MLMR improves energy utility by changing the activity of wireless communication module of sensor nodes, energy model and state transition of sensor nodes. EE-MLMR employs the minimum angle of source node and goal node to prolong network lifetime. Simulation results show that EE-MLMR performs better than DD and EER algorithm for wireless sensor network with high-density deployment and low traffic.