Age of Information Analysis for Instantly Decompressible IoT Protocols

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    Generalized deduplication (GD) has been proposed as a new approach for reducing the cost of storage. Recent work has adapted this technique to provide distributed, multi-source lossless compression to reduce the total number of bits transmitted in sensor networks. In this paper, we characterize its performance and advantages from an age of information perspective. For simplicity, we analyze the case of one source node receiving one symbol/sample per unit time and transmitting bits to the sink node. We show the potential for GD to also deliver instant decoding of the data to further reduce the average age of information. Using real-world data sets, our solution reduces the information age by 25% and 36% when considering the standard and the instantly decodable versions, respectively compared to the use of the DEFLATE algorithm for compression.
    Original languageEnglish
    Title of host publication2020 IEEE International Conference on Communications, ICC 2020 - Proceedings : Proceedings
    Number of pages6
    Publication date2020
    Article number9149095
    ISBN (Electronic)978-1-7281-5089-5
    Publication statusPublished - 2020
    Event2020 IEEE International Conference on Communications - Internet, Dublin, Ireland
    Duration: 7 Jun 202011 Jun 2020


    Conference2020 IEEE International Conference on Communications
    Internet address


    • Generalized Data Deduplication
    • age of information (AoI)
    • data transmission reduction.
    • timeliness
    • wireless sensors


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