DocumentCode :
466941
Title :
Coverage-preserving Data Gathering in Wireless Sensor Networks
Author :
Xu, Hongli ; Huang, Liusheng ; Wu, Jumin ; Wang, Yang
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei
Volume :
2
fYear :
2007
fDate :
July 30 2007-Aug. 1 2007
Firstpage :
14
Lastpage :
19
Abstract :
The power is the most significant resource in wireless sensor nodes, so energy conservation is the most important factor in designing the protocol for sensor networks. In this paper, we study the problem of energy-efficient collection of the physical information from the target area. The coverage-preserving data gathering (CPDG) problem is to build up a tree, which minimizes the total energy consumption, and preserves the original coverage to ensure the result correctness. This problem can be formalized as 0-1 integer linear programming, and solved by an efficient heuristic algorithm. Furthermore, an improved algorithm is also proposed to balance the energy consumption among all the sensor nodes. The experimental results show that CPDG algorithm can conserve the energy about 30% of PEDAP protocol, which is regarded as one of the most efficient data gathering protocols as we know.
Keywords :
energy conservation; energy consumption; integer programming; linear programming; protocols; trees (mathematics); wireless sensor networks; PEDAP protocol; coverage-preserving data gathering; data gathering protocols; energy conservation; energy consumption; heuristic algorithm; integer linear programming; protocol design; tree; wireless sensor networks; Computer networks; Distributed computing; Energy conservation; Energy consumption; Energy efficiency; Heuristic algorithms; Integer linear programming; Monitoring; Wireless application protocol; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
Type :
conf
DOI :
10.1109/SNPD.2007.483
Filename :
4287643
Link To Document :
بازگشت