Title :
A Distributed Method for Compressive Data Gathering in Wireless Sensor Networks
Author :
Ebrahimi, D. ; Assi, Chadi
Author_Institution :
Dept. of Comput. Sci. & Software Eng., Concordia Univ., Montreal, QC, Canada
Abstract :
Compressive data gathering (CDG) has recently emerged to provide energy efficient data aggregation in wireless sensor networks. CDG requires efficient routing (forwarding) trees to gather encoded data from sensor nodes to the sink. This paper presents a decentralized method for the compressive data gathering problem (DCDG). Our method allows each sensor node to locally make a decision in constructing and maintaining the forwarding trees and has minimal complexity and overhead with outstanding performance.
Keywords :
data compression; telecommunication network routing; wireless sensor networks; DCDG; compressive data gathering; data encoding; decentralized method; distributed method; energy efficient data aggregation; forwarding tree; routing tree; wireless sensor network; Approximation algorithms; Approximation methods; Distributed databases; Network topology; Sensors; Sparse matrices; Wireless sensor networks; Sensor networks; compressive data gathering;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2014.030114.132728
