DocumentCode
2342340
Title
WSN17-6: An Efficient Energy-balanced COordinated Node Scheduling (ECONS) Protocol for Dense Wireless Sensor Networks
Author
Alqamzi, Hend ; Jing Li
Author_Institution
Dept. of Electr. & Comput. Eng., Lehigh Univ., Bethlehem, PA
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
5
Abstract
We propose a distributed and efficient sleeping protocol, the energy-balanced coordinated node scheduling (ECONS), that guarantees OoS sensing coverage for wireless dense sensor networks. We first define the parameters that can be adjusted by the applications to achieve the desired sensing coverage percentage. We next discusses the ECONS protocol which maximizes the network lifetime while supporting the QoS coverage requirements. The key components include accurate sleeping eligibility calculation, proper back-off schemes, overhead cost control, and dynamic off-duty interval assignment that adapts to the energy consumption patterns of sensors in each neighbors. Simulations using realistic network application scenario and energy models based on MICA2 measurements confirm the efficiency of ECONS, which achieves an increase of 49% to 71.5% in network lifetime compared to non-scheduled networks and 18.9% compared to coverage preserving (CP) protocol.
Keywords
protocols; quality of service; scheduling; wireless sensor networks; MICA2 measurements; QoS coverage requirements; coverage preserving protocol; dense wireless sensor networks; dynamic off-duty interval assignment; efficient energy-balanced coordinated node scheduling protocols; energy consumption patterns; overhead cost control; quality of service; sleeping eligibility calculation; sleeping protocol; Application software; Battery charge measurement; Costs; Energy consumption; Energy management; Energy measurement; Performance evaluation; Processor scheduling; Wireless application protocol; Wireless sensor networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Global Telecommunications Conference, 2006. GLOBECOM '06. IEEE
Conference_Location
San Francisco, CA
ISSN
1930-529X
Print_ISBN
1-4244-0356-1
Electronic_ISBN
1930-529X
Type
conf
DOI
10.1109/GLOCOM.2006.993
Filename
4151623
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