DocumentCode :
2907536
Title :
Towards Stable Network Performance in Wireless Sensor Networks
Author :
Lin, Shan ; Zhou, Gang ; Whitehouse, Kamin ; Wu, Yafeng ; Stankovic, John A. ; He, Tian
Author_Institution :
Dept. of Comput. Sci., Univ. of Virginia, Charlottesville, VA, USA
fYear :
2009
fDate :
1-4 Dec. 2009
Firstpage :
227
Lastpage :
237
Abstract :
Many applications in wireless sensor networks require communication performance that is both consistent and high quality. Unfortunately, performance of current network protocols can vary significantly because of various interferences and environmental changes. Current protocols estimate link quality based on the reception of probe packets over a short time period. This method is neither efficient nor accurate enough to capture the dramatic variations of link quality. Therefore, we propose a link metric called competence that characterizes links over a longer period of time. We combine competence with current short term estimations in routing algorithm designs. To further improve network performance we have designed a distributed route maintenance framework based on feedback control solutions. In real system evaluations with 48 T-Motes, our overall solution improves end-to-end packet delivery ratio over existing solutions by up to 40%, while reducing energy consumption by up to 22%. Importantly, our solution also achieves more stable and better transient performance than current approaches.
Keywords :
protocols; telecommunication links; telecommunication network routing; telecommunication network topology; wireless sensor networks; 48 T-Motes; feedback control; network protocols; probe packets; routing algorithm designs; wireless sensor networks; Air traffic control; Automata; Information analysis; Polynomials; Protocols; Real time systems; Safety; Traffic control; USA Councils; Wireless sensor networks; competence; control; link estimation; routing; stable; transient performance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Real-Time Systems Symposium, 2009, RTSS 2009. 30th IEEE
Conference_Location :
Washington, DC
ISSN :
1052-8725
Print_ISBN :
978-0-7695-3875-4
Type :
conf
DOI :
10.1109/RTSS.2009.19
Filename :
5368870
Link To Document :
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