Abstract
Network planarization has been an important technique in numerous sensornet protocols—such as Greedy Perimeter Stateless Routing (GPSR), topology discovery, data-centric storage, etc.—however the planarization process itself has been difficult. Known efficient planarization algorithms exist only for restrictive wireless network models: unit-disk graphs with accurately known location information. In this paper, we study efficient planarization of wireless sensor networks, and present a novel planarization method for a more general network model, where sensors can have non-uniform transmission ranges and no location information is needed. Our planarization algorithms also include a (2+ε)-approximation algorithm and an FPT algorithm for the bipartite planarization problem.
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The work by F. Zhang was supported in part by the Texas Advanced Research Program under Grant No. 003581-0006-2006, the work by A. Jiang was supported in part by the National Science Foundation under the Grant CCF-0747415, and the work by J. Chen was supported in part by the National Science Foundation under the Grant CCF-0917288 and by the Texas Advanced Research Program under Grant No. 003581-0006-2006. A preliminary version of the paper (under the title Robust Planarization of Unlocalized Wireless Sensor Networks) has appeared in Proc. 27th IEEE INFOCOM, Phoenix, AZ, April 2008.
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Zhang, F., Jiang, A.(. & Chen, J. On the Planarization of Wireless Sensor Networks. Algorithmica 60, 593–608 (2011). https://doi.org/10.1007/s00453-010-9476-z
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DOI: https://doi.org/10.1007/s00453-010-9476-z