TY - JOUR
T1 - CAEM
T2 - A channel adaptive approach to energy management for wireless sensor networks
AU - Lin, Xiao Hui
AU - Kwok, Yu Kwong
N1 - Funding Information:
This research was jointly supported by a grant from the Research Grants Council of the HKSAR under Project No. HKU 7157/04E, and by a grant from Guangdong Natural Science Foundation under Project No. 5010494.
PY - 2006/11/8
Y1 - 2006/11/8
N2 - Energy constraints in a wireless sensor network are crucial issues critically affecting the network lifetime and connectivity. To realize true energy saving in a wireless environment, the time varying property of the wireless channel should also be taken into account. Unfortunately, this factor has long been ignored in most existing state-of-the-art energy saving protocols. Neglecting the effects of varying channel quality can lead to an unnecessary waste of precious battery resources, and, in turn, can result in the rapid depletion of sensor energy and partitioning of the network. In this paper, we propose a channel adaptive energy management protocol, called CAEM, that can exploit this time varying nature of the wireless link. Specifically, CAEM leverages on the synergistically cross-layer interaction between physical and MAC layers. Thus, each sensor node can intelligently access the wireless medium according to the current wireless link quality and the predicted traffic load, to realize an efficient utilization of the energy. Extensive simulation results indicate that CAEM can achieve as much as 40% reduction in energy dissipation compared with traditional protocols without channel adaptation.
AB - Energy constraints in a wireless sensor network are crucial issues critically affecting the network lifetime and connectivity. To realize true energy saving in a wireless environment, the time varying property of the wireless channel should also be taken into account. Unfortunately, this factor has long been ignored in most existing state-of-the-art energy saving protocols. Neglecting the effects of varying channel quality can lead to an unnecessary waste of precious battery resources, and, in turn, can result in the rapid depletion of sensor energy and partitioning of the network. In this paper, we propose a channel adaptive energy management protocol, called CAEM, that can exploit this time varying nature of the wireless link. Specifically, CAEM leverages on the synergistically cross-layer interaction between physical and MAC layers. Thus, each sensor node can intelligently access the wireless medium according to the current wireless link quality and the predicted traffic load, to realize an efficient utilization of the energy. Extensive simulation results indicate that CAEM can achieve as much as 40% reduction in energy dissipation compared with traditional protocols without channel adaptation.
KW - Adaptive cross-layer protocols
KW - Channel state dependent
KW - Mobile computing
KW - Power saving
KW - Wireless sensor networks
UR - https://www.scopus.com/pages/publications/33750296390
U2 - 10.1016/j.comcom.2006.01.027
DO - 10.1016/j.comcom.2006.01.027
M3 - Article
AN - SCOPUS:33750296390
SN - 0140-3664
VL - 29
SP - 3343
EP - 3353
JO - Computer Communications
JF - Computer Communications
IS - 17
ER -