Adaptive modulation scaling scheme for wireless sensor networks

Zong Kai Yang, Yong Yuan, Jianhua He, Wenqing Chen

    Research output: Contribution to journalArticlepeer-review

    7 Citations (Scopus)


    Limited energy is a big challenge for large scale wireless sensor networks (WSN). Previous research works show that modulation scaling is an efficient technique to reduce energy consumption. However, the impacts of using modulation scaling on packet delivery latency and loss are not considered, which may have adverse effects on the application qualities. In this paper, we study this problem and propose control schemes to minimize energy consumption while ensuring application qualities. We first analyze the relationships of modulation scaling and energy consumption, end-to-end delivery latency and packet loss ratio. With the analytical model, we develop a centralized control scheme to adaptively adjust the modulation levels, in order to minimize energy consumption and ensure the application qualities. To improve the scalability of the centralized control scheme, we also propose a distributed control scheme. In this scheme, the sink will send the differences between the required and measured application qualities to the sensors. The sensors will update their modulation levels with the local information and feedback from the sink. Experimental results show the effectiveness of energy saving and QoS guarantee of the control schemes. The control schemes can adapt efficiently to the time-varying requirements on application qualities.

    Original languageEnglish
    Pages (from-to)882-889
    Number of pages8
    JournalIEICE Transactions on Communications
    Issue number3
    Publication statusPublished - 1 Mar 2005


    • Distributed control
    • Modulation scaling
    • Queuing theory
    • Wireless sensor network

    ASJC Scopus subject areas

    • Software
    • Computer Networks and Communications
    • Electrical and Electronic Engineering


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