Energy-efficient node-level compression arbitration for wireless sensor networks

Authors:
Beihua Ying;Wei Liu;Yongpan Liu;Huazhong Yang;Hui Wang
Affiliations:
Department of Electronic Engineering and TNList, Tsinghua University, Beijing, China;Department of Electronic Engineering and TNList, Tsinghua University, Beijing, China;Department of Electronic Engineering and TNList, Tsinghua University, Beijing, China;Department of Electronic Engineering and TNList, Tsinghua University, Beijing, China;Department of Electronic Engineering and TNList, Tsinghua University, Beijing, China
Venue:
ICACT'09 Proceedings of the 11th international conference on Advanced Communication Technology - Volume 1
Year:
2009

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Abstract

Energy efficiency is one of the most important design metrics for wireless sensor networks. As sensor data always have redundancies, compression is introduced for energy savings. However, in some cases, it is unlikely to be wise to trade computation energy for communication savings. In this paper, a novel node-level compression arbitration mechanism is proposed, which is applied to improve compression algorithms by avoiding unnecessary energy losses. Experimental results show that the highest percent savings of energy can reach 10% ~ 30% for different kinds of datasets. Furthermore, the overhead introduced by our proposed scheme is expected to be negligible approximately.