Energy aware data gathering based on adaptive modulation scaling in wireless sensor networks

Zongkai Yang, Yong Yuan, Jianhua He

    Research output: Chapter in Book/Published conference outputConference publication


    Energy consumption has been a key concern of data gathering in wireless sensor networks. Previous research works show that modulation scaling is an efficient technique to reduce energy consumption. However, such technique will also impact on both packet delivery latency and packet loss, therefore, may result in adverse effects on the qualities of applications. In this paper, we study the problem of modulation scaling and energy-optimization. A mathematical model is proposed to analyze the impact of modulation scaling on the overall energy consumption, end-to-end mean delivery latency and mean packet loss rate. A centralized optimal management mechanism is developed based on the model, which adaptively adjusts the modulation levels to minimize energy consumption while ensuring the QoS for data gathering. Experimental results show that the management mechanism saves significant energy in all the investigated scenarios. Some valuable results are also observed in the experiments.
    Original languageEnglish
    Title of host publication2004 IEEE 60th vehicular technology conference : VTC2004-Fall
    Subtitle of host publicationwireless technologies for global security
    Number of pages5
    ISBN (Print)0-7803-8521-7
    Publication statusPublished - 2004
    Event60th Vehicular Technology Conference - Los Angeles, CA, United States
    Duration: 26 Sept 200429 Sept 2004

    Publication series

    NameIEEEVTS vehicular technology conference
    ISSN (Print)1090-3038


    Conference60th Vehicular Technology Conference
    Abbreviated titleVTC2004-Fall
    Country/TerritoryUnited States
    CityLos Angeles, CA


    • wireless sensor network
    • adaptive modulation scaling
    • energy efficient design


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