Compression in wireless sensor networks: A survey and comparative evaluation

Mohammad A. Razzaque, Chris Bleakley, Simon Dobson

    Research output: Contribution to journalArticlepeer-review

    77 Citations (Scopus)


    Wireless sensor networks (WSNs) are highly resource constrained in terms of power supply, memory capacity, communication bandwidth, and processor performance. Compression of sampling, sensor data, and communications can significantly improve the efficiency of utilization of three of these resources, namely, power supply, memory and bandwidth. Recently, there have been a large number of proposals describing compression algorithms for WSNs. These proposals are diverse and involve different compression approaches. It is high time that these individual efforts are put into perspective and a more holistic view taken. In this article, we take a step in that direction by presenting a survey of the literature in the area of compression and compression frameworks in WSNs. A comparative study of the various approaches is also provided. In addition, open research issues, challenges and future research directions are highlighted.

    Original languageEnglish
    Article number5
    JournalACM Transactions on Sensor Networks
    Issue number1
    Publication statusPublished - 1 Nov 2013


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