Localization for Mobile Sensor Networks

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Localization for Mobile Sensor Networks (2004)

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by Lingxuan Hu , David Evans

Venue:	Proc. MobiCom
Citations:	287 - 0 self

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@INPROCEEDINGS{Hu04localizationfor,
    author = {Lingxuan Hu and David Evans},
    title = {Localization for Mobile Sensor Networks},
    booktitle = {Proc. MobiCom},
    year = {2004},
    pages = {45--57}
}

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Abstract

Many sensor network applications require location awareness, but it is often too expensive to include a GPS receiver in a sensor network node. Hence, localization schemes for sensor networks typically use a small number of seed nodes that know their location and protocols whereby other nodes estimate their location from the messages they receive. Several such localization techniques have been proposed, but none of them consider mobile nodes and seeds. Although mobility would appear to make localization more difficult, in this paper we introduce the sequential Monte Carlo Localization method and argue that it can exploit mobility to improve the accuracy and precision of localization. Our approach does not require additional hardware on the nodes and works even when the movement of seeds and nodes is uncontrollable. We analyze the properties of our technique and report experimental results from simulations. Our scheme outperforms the best known static localization schemes under a wide range of conditions.

Keyphrases

mobile sensor network gps receiver several localization technique mobile node location awareness sequential monte carlo localization method seed node wide range many sensor network application sensor network static localization scheme localization scheme small number report experimental result additional hardware sensor network node

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