Cited By
View all- Weng NLi IVespa L(2011)Information quality model and optimization for 802.15.4-based wireless sensor networksJournal of Network and Computer Applications10.1016/j.jnca.2010.12.01334:6(1773-1783)Online publication date: 1-Nov-2011
Supporting Adaptive Sampling in Wireless Sensor Networks
Authors: 
Hejun Wu, Qiong LuoAuthors Info & Claims
Pages 3442 - 3447
Abstract
Adaptive sampling is proposed to improve the power efficiency of wireless sensor networks in that the sampling rate of a sensor node can change in response to the changes in the environment. To transmit the sampled data promptly, the nodes with different and dynamically changing sampling rates have to transmit at different and changing rates correspondingly, which in turn causes severe packet loss and power consumption. To address this problem, we propose a routing-layer scheduling scheme, SPAS, to support adaptive sampling. In SPAS, each node keeps a record of packets to be forwarded and wakes up at scheduled times to transmit and to receive. Furthermore, each node can dynamically optimize its route to the sink based on the transmission rates of its neighboring nodes. Our simulation results show that SPAS achieves both high power efficiency and a low packet loss rate in adaptive sampling.
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- Supporting Adaptive Sampling in Wireless Sensor Networks
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Published In
March 2007
4451 pages
ISBN:1424406587
Copyright © 2007.
Publisher
IEEE Computer Society
United States
Publication History
Published: 01 March 2007
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Cited By
View all- Weng NLi IVespa L(2011)Information quality model and optimization for 802.15.4-based wireless sensor networksJournal of Network and Computer Applications10.1016/j.jnca.2010.12.01334:6(1773-1783)Online publication date: 1-Nov-2011