Please use this identifier to cite or link to this item: https://doi.org/10.1109/SAHCN.2009.5168924
Title: DEAL: Discover and exploit asymmetric links in dense wireless sensor networks
Authors: Chen, B.B.
Hao, S.
Zhang, M. 
Chan, M.C. 
Ananda, A.L. 
Issue Date: 2009
Source: Chen, B.B.,Hao, S.,Zhang, M.,Chan, M.C.,Ananda, A.L. (2009). DEAL: Discover and exploit asymmetric links in dense wireless sensor networks. 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009. ScholarBank@NUS Repository. https://doi.org/10.1109/SAHCN.2009.5168924
Abstract: Asymmetric links commonly exist in low power wireless sensor networks. However, it is difficult to discover and exploit them efficiently. In this work, we propose DEAL, a link management scheme to Discover and Exploit Asymmetric Links efficiently in dense wireless sensor networks. Equipped with a novel feedback mechanism, DEAL dynamically adapts its link maintenance mechanism based on the estimated link quality, and manages the (small) neighbor table so as to retain the most useful information. We implement DEAL in TinyOS and evaluate its performance using both TOSSIM and testbed. The simulation results show that more than 80% of asymmetric links can be discovered and maintained with minimum overhead. Using a collection tree application and ETX as the routing metric, the average path ETX can be reduced by up to 20%. Testbed evaluation also shows that DEAL improves the network routing performance by identifying useful asymmetric links. © 2009 IEEE.
Source Title: 2009 6th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks, SECON 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/40891
ISBN: 9781424429080
DOI: 10.1109/SAHCN.2009.5168924
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