DocumentCode
2341913
Title
WSN14-3: Honeycomb Architecture for Energy Conservation in Wireless Sensor Networks
Author
Liu, Ren Ping ; Rogers, Glynn ; Zhou, Sihui Sue
Author_Institution
ICT Centre, CSIRO, Melbourne, VIC
fYear
2006
fDate
Nov. 27 2006-Dec. 1 2006
Firstpage
1
Lastpage
5
Abstract
Reducing energy consumption has been a recent focus of wireless sensor network research. Topology control explores the potential that a dense network has for energy savings. One such approach is geographic adaptive fidelity (GAF) [1]. GAF is proved to be able to extend the lifetime of self-configuring systems by exploiting redundancy to conserve energy while maintaining application fidelity. However the properties of the grid topology in GAF have not been fully studied. In this paper it is shown that there exists an unreachable corner in the GAF grid architecture. Using an analytical model, we are able to calculate the unreachable probability and analyse its impacts on data delivery. After investigating a couple of lossless topologies, we propose to use the honeycomb virtual mesh (GAF-h) to replace the square grid. GAF-h is proved to be able to achieve zero loss with little extra cost compared to the original GAF scheme. An efficient honeycomb cell placement and node association algorithm is also proposed. It integrates nicely with the original GAF protocol with little computing overhead.
Keywords
probability; protocols; telecommunication network topology; wireless sensor networks; GAF grid architecture; data delivery; energy conservation; energy consumption; geographic adaptive fidelity protocol; honeycomb architecture; honeycomb virtual mesh; lossless topologies; probability; self-configuring systems; topology control; wireless sensor networks; Acoustic sensors; Analytical models; Chemical sensors; Costs; Energy conservation; Network topology; Probability; Protocols; Routing; 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.2006.972
Filename
4151602
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