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

Zong Kai Yang, Yong Yuan, Jianhua He

    Research output: Contribution to journalConference articlepeer-review

    9 Citations (Scopus)


    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
    Pages (from-to)2794-2798
    Number of pages5
    JournalIEEE Vehicular Technology Conference
    Issue number4
    Publication statusPublished - 2004
    Event2004 IEEE 60th Vehicular Technology Conference, VTC2004-Fall: Wireless Technologies for Global Security - Los Angeles, CA, United States
    Duration: 26 Sept 200429 Sept 2004


    • Energy efficient design
    • Wireless sensor network; adaptive modulation scaling

    ASJC Scopus subject areas

    • Computer Science Applications
    • Electrical and Electronic Engineering
    • Applied Mathematics


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