DocumentCode :
170617
Title :
Improved structures for data collection in wireless sensor networks
Author :
Crowcroft, Jon ; Segal, Michael ; Levin, L.
Author_Institution :
Comput. Lab., Cambridge Univ., Cambridge, UK
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
1375
Lastpage :
1383
Abstract :
In this paper we consider the problem of efficient data gathering in sensor networks for arbitrary sensor node deployments. The efficiency of the solution is measured by a number of criteria: total energy consumption, total transport capacity, latency and quality of the transmissions. We present a number of different constructions with various tradeoffs between aforementioned parameters. We provide theoretical performance analysis for our approaches, present their distributed implementation and discuss the different aspects of using each. We show that in many cases our output-sensitive approximation solution performs better than the currently known best results for sensor networks. Our simulation results validate the theoretical findings.
Keywords :
approximation theory; data communication; energy consumption; wireless sensor networks; arbitrary sensor node deployments; data collection; data gathering; energy consumption; output-sensitive approximation solution; theoretical performance analysis; transmission quality; transport capacity; wireless sensor networks; Approximation methods; Base stations; Computers; Conferences; Data collection; Energy consumption; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6848071
Filename :
6848071
Link To Document :
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