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DAMORD: an aggregation algorithm for mobile point source using rate‐distortion theory in wireless sensor networks
Author(s) -
Aminian Mehdi,
Sabaei Masoud,
Akbari Mohammad K.
Publication year - 2014
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2790
Subject(s) - computer science , wireless sensor network , data aggregator , base station , distortion (music) , object (grammar) , energy consumption , algorithm , point (geometry) , real time computing , computer network , data mining , distributed computing , artificial intelligence , electrical engineering , amplifier , geometry , mathematics , bandwidth (computing) , engineering
SUMMARY By rapid advances in the development of electronic components and with declining cost of sensor network deployment, we are witnessing the amazing growth of these networks. The energy consumption constraints have imposed the importance and necessity of new concepts such as data aggregation. In this paper, a new method is proposed for aggregating the data received from the mobile point source in a sensor network. In this method called DAMORD (Data Aggregation for Mobile Object using Rate‐Distortion), by using RD theory and considering spatial and temporal correlation, we can reduce the load of data transmitted to base station with considering the maximum distortion that can be tolerated by the user. To the best of our knowledge, nobody has yet used the RD theory for the data aggregation of mobile object in the sensor networks. A mathematical model followed by detailed model verification demonstrated the efficiency of the proposed method under different conditions. Copyright © 2014 John Wiley & Sons, Ltd.