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Energy-efficient communication protocol for wireless microsensor networks (2000)

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by Wendi Rabiner Heinzelman , Anantha Chandrakasan , Hari Balakrishnan
Citations:2102 - 10 self
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BibTeX

@INPROCEEDINGS{Heinzelman00energy-efficientcommunication,
    author = {Wendi Rabiner Heinzelman and Anantha Chandrakasan and Hari Balakrishnan},
    title = {Energy-efficient communication protocol for wireless microsensor networks},
    booktitle = {},
    year = {2000},
    pages = {3005--3014},
    publisher = {}
}

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Abstract

Wireless distributed microsensor systems will enable the reliable monitoring of a variety of environments for both civil and military applications. In this paper, we look at communication protocols, which can have significant impact on the overall energy dissipation of these networks. Based on our findings that the conventional protocols of direct transmission, minimum-transmission-energy, multihop routing, and static clustering may not be optimal for sensor networks, we propose LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster base stations (cluster-heads) to evenly distribute the energy load among the sensors in the network. LEACH uses localized coordination to enable scalability and robustness for dynamic networks, and incorporates data fusion into the routing protocol to reduce the amount of information that must be transmitted to the base station. Simulations show that LEACH can achieve as much as a factor of 8 reduction in energy dissipation compared with conventional routing protocols. In addition, LEACH is able to distribute energy dissipation evenly throughout the sensors, doubling the useful system lifetime for the networks we simulated.

Keyphrases

wireless microsensor network    energy-efficient communication protocol    energy dissipation    sensor network    dynamic network    energy load    military application    overall energy dissipation    low-energy adaptive clustering hierarchy    useful system lifetime    direct transmission    multihop routing    static clustering    significant impact    conventional protocol    base station    microsensor system    communication protocol    conventional routing protocol    data fusion    randomized rotation    reliable monitoring    clustering-based protocol    local cluster base station   

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