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  1. Proceedings of the Fourth ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS '15)
  2. An energy-conserving algorithm for the collection and reporting of data in mobile sensor networks
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Fusion of uncertain location data from heterogeneous sources
Geo-tagging non-spatial concepts
Scalable selective traffic congestion notification
Mobility episode detection from CDR's data using switching Kalman filter
Aggregate k-nearest neighbors queries in time-dependent road networks
An energy-conserving algorithm for the collection and reporting of data in mobile sensor networks
Validation of spatial integrity constraints in city models
$A^{2}N^{2}:$ approximate aggregate nearest neighbor queries on road networks
Distributed autonomous GIS to form teams for public safety
Towards user-centric data management: individual mobility analytics for collective services
Querying semantic trajectory episodes
Mining condensed spatial co-location patterns

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An energy-conserving algorithm for the collection and reporting of data in mobile sensor networks

Content Provider ACM Digital Library
Author Horak, Matthew Alkobaisi, Shayma Bae, Wan D.
Abstract Advances in mobile and sensor technologies have enabled the collection of continuously changing data such as locations and weather measurements. However, conserving the energy of these devices has been a major challenge. In this work, we propose an energy-efficient solution to a new variant of the Discrete Unit Disk Covering Problem (DUDC), which models a mobile sensor network. We present an approximation algorithm for this problem and theoretical analysis in the case of randomly positioned sensors that shows that three objectives are met: reduce the average number of active sensors that report measurements, spread the measurement burden over time evenly among the reporting sensors and maintain an acceptable quality of the reported measurements. Experimental and theoretical results show that our proposed algorithm has computational complexity and approximation factor comparable to currently known deterministic algorithms while meeting the aforementioned objectives.
Starting Page 50
Ending Page 58
Page Count 9
File Format PDF
ISBN 9781450339773
DOI 10.1145/2834126.2834130
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2015-11-03
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Battery life Discrete unit disk problem Network coverage ratio Mobile sensor network Randomized algorithm
Content Type Text
Resource Type Article
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