DocumentCode :
2659536
Title :
Cross-layer organization of wireless sensor networks using sense-sleep trees
Author :
Ha, Rick W. ; Ho, Pin-Han ; Shen, X. Sherman
Author_Institution :
Dept. of Electr. & Comput. Eng., Waterloo Univ., Ont., Canada
Volume :
2
fYear :
2005
fDate :
13-16 June 2005
Firstpage :
952
Abstract :
Because of their pervasiveness and autonomy in operation, wireless sensor networks (WSNs) are an ideal candidate in offering sustained monitoring functions at reasonable cost over a wide area. However, devising an energy-efficient, cost-effective and reliable communication strategy for WSNs requires tight collaboration of all of the sublayers, which introduces new technical challenges in the areas of data, network and power management. This paper proposes a cross-layer organizational approach, called sense-sleep trees (SS-Trees), that aims to harmonize the various engineering issues and provides a method of increasing monitoring coverage and operational lifetime of mesh WSNs engaged in wide-area surveillance applications. A computational approach based on integer linear programming (ILP) is suggested to determine the optimal SS-Tree structures for achieving the design goals.
Keywords :
integer programming; linear programming; surveillance; wireless sensor networks; cross-layer organizational approach; integer linear programming; sense-sleep trees; wide-area surveillance; wireless sensor networks; Computer network management; Cost function; Energy efficiency; Energy management; Monitoring; Online Communities/Technical Collaboration; Power engineering and energy; Reliability engineering; Telecommunication network reliability; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wireless Networks, Communications and Mobile Computing, 2005 International Conference on
Print_ISBN :
0-7803-9305-8
Type :
conf
DOI :
10.1109/WIRLES.2005.1549541
Filename :
1549541
Link To Document :
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