In wireless sensor networks, where energy efficiency is the key design challenge, the energy consumption is typically dominated by the node's communication subsystem. It can only be reduced significantly by transitioning the embedded radio to a sleep state, at which point the node essentially retracts from the network topology. Existing topology management schemes have focused on cleverly selecting which nodes can turn off their radio, without sacrificing the capacity of the network. We propose a new technique, called sparse topology and energy management (STEM), that dramatically improves the network lifetime by exploiting the fact that most of the time, the network is only sensing its environment waiting for an event to happen. By alleviating the restriction of network capacity preservation, we can trade off extensive energy savings for an increased latency to set up a multi-hop path. We will also show how STEM integrates efficiently with existing topology management techniques.


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    Title :

    STEM: Topology management for energy efficient sensor networks


    Contributors:


    Publication date :

    2002-01-01


    Size :

    720282 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    4.0402 STEM: Topology Management for Energy Efficient Sensor Networks

    Institute of Electrical and Electronics Engineers | British Library Conference Proceedings | 2002


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