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  1. Proceedings of the 2004 joint workshop on Foundations of mobile computing (DIALM-POMC '04)
  2. Gathering correlated data in sensor networks
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On the fundamental limits of topology control
Localized techniques for broadcasting in wireless sensor networks
LLS: a locality aware location service for mobile ad hoc networks
Virtual coordinates for ad hoc and sensor networks
A resource--efficient time estimation for wireless sensor networks
Improved approximation results for the minimum energy broadcasting problem
Unit disk graph approximation
Gathering correlated data in sensor networks
OVSF-CDMA code assignment in wireless ad hoc networks
Connectivity in evolving graph with geometric properties
Accuracy vs. lifetime: linear sketches for approximate aggregate range queries in sensor networks
Experimental analysis of adjustable sectorized topologies for static ad hoc networks: extended abstract
Batch conflict resolution algorithm with progressively accurate multiplicity estimation

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Gathering correlated data in sensor networks

Content Provider ACM Digital Library
Author von Rickenbach, Pascal Wattenhofer, Rogert
Abstract In this paper, we consider energy-efficient gathering of correlated data in sensor networks. We focus on single-input coding strategies in order to aggregate correlated data. For foreign coding we propose the MEGA algorithm which yields a minimum-energy data gathering topology in O $(n^{3)}$ time. We also consider $^{self-coding}$ for which the problem of finding an optimal data gathering tree was recently shown to be NP-complete; with LEGA, we present the first approximation algorithm for this problem with approximation ratio 2(1+ √2 ) and running time O m + n log n.
Starting Page 60
Ending Page 66
Page Count 7
File Format PDF
ISBN 1581139217
DOI 10.1145/1022630.1022640
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2004-10-01
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Data aggregation Sensor networks Energy efficiency Distributed algorithms Data gathering
Content Type Text
Resource Type Article
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