A power-aware layering optimization scheme for wireless sensor network

Authors:
Peng Ji;Chengdong Wu;Yunzhou Zhang;Xiaozhe Wang
Affiliations:
Institute of Artificial Intelligence and Robot, Northeastern University, Shenyang, China;Institute of Artificial Intelligence and Robot, Northeastern University, Shenyang, China;Institute of Artificial Intelligence and Robot, Northeastern University, Shenyang, China;Institute of Artificial Intelligence and Robot, Northeastern University, Shenyang, China
Venue:
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Year:
2009

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Abstract

Different from the traditional layer protocols, layering optimization can improve QoS of the whole wireless sensor network (WSN). Therefore, a novel power-aware layering optimization scheme is proposed to balance network lifetime and communication reliability. In the scheme, a directed spanning tree routing algorithm is discussed to resolve unnecessary energy consumption during data transmission. Regarded as a key factor, transmission power of node should be controlled to avoid occurrence of communication contention in some hot sub-area. And a Lagrange dual function is designed and iterated in order to find the optimal transmission power of every sensor node. These cross-layer schemes can lead WSN to get energy efficiency and smooth communication mode. With the simulations, the proposed scheme is evaluated in comparison with other related algorithm from energy consumption of nodes to number of received packets. The results shows that the scheme proposed in this paper have much better performance than others.