Abstract
Many applications of wireless ad hoc sensor and actuator networks (WSANs) rely on the knowledge of node locations. These are challenging to obtain when nodes are mobile and are not equipped with any specific positioning hardware. In this paper, we are interested in scenarios where there are constraints on the movement of nodes, such as with cars on a road network.
We develop and analyse a tracking algorithm called MOONwalk that explicitly takes such constraints into account in order to improve the tracking precision. Furthermore, MOONwalk does not require global knowledge of the network, and therefore lends itself well to large-scale and high-mobility applications.
We evaluate the accuracy of MOONwalk by comparing it to the optimal maximum likelihood estimator, under different radio conditions and deployment scenarios. We find that MOONwalk performs well despite its localized operation.
The work presented in this paper was supported (in part) by the National Competence Center in Research on Mobile Information and Communication Systems (NCCR-MICS), a center supported by the Swiss National Science Foundation under grant number 5005-67322. (http://www.mics.org)
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Piórkowski, M., Grossglauser, M. (2006). Constrained Tracking on a Road Network. In: Römer, K., Karl, H., Mattern, F. (eds) Wireless Sensor Networks. EWSN 2006. Lecture Notes in Computer Science, vol 3868. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11669463_13
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DOI: https://doi.org/10.1007/11669463_13
Publisher Name: Springer, Berlin, Heidelberg
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