Research Article
An Energy Efficiency Scheme Using Local SNR for Clustered Wireless Sensor Networks
@INPROCEEDINGS{10.1109/MOBIQ.2007.4451049, author={ Qianyu Ye and Yu Liu and Lin Zhang and Chan-hyun Youn}, title={An Energy Efficiency Scheme Using Local SNR for Clustered Wireless Sensor Networks}, proceedings={2nd International ICST Workshop on Advances in Wireless Sensor Networks 2007}, publisher={IEEE}, proceedings_a={IWASN}, year={2008}, month={2}, keywords={Acoustic sensors Clustering algorithms Energy efficiency Postal services Power engineering and energy Routing protocols Sensor phenomena and characterization State estimation Wireless communication Wireless sensor networks}, doi={10.1109/MOBIQ.2007.4451049} }- Qianyu Ye
Yu Liu
Lin Zhang
Chan-hyun Youn
Year: 2008
An Energy Efficiency Scheme Using Local SNR for Clustered Wireless Sensor Networks
IWASN
IEEE
DOI: 10.1109/MOBIQ.2007.4451049
Abstract
In this paper, a local SNR aided sensor selecting (LSAS) algorithm is proposed to meet the energy efficiency requirement of wireless sensor networks (WSNs). In the conventional cluster routing protocols, during each round, all the subordinate sensors need to send their sensed information to their cluster heads, which is energy consuming. Realizing that it is not necessary to involve all the sensors due to the redundancy characteristic of the information on them, we propose that only those sensors with higher local SNR are selected to transmit their sensed data. Experimental results demonstrate that it is sufficient to only use the information on nodes with higher local SNR for target state estimation. The simulations also suggest that the proposed method consumes about 30%-50% less energy than the conventional method