Publication Type : Conference Paper
Publisher : OpenAccess Series in Informatics
Source : OpenAccess Series in Informatics, Volume 17, Kiel, p.145-156 (2011)
Url : http://www.scopus.com/inward/record.url?eid=2-s2.0-84880320947&partnerID=40&md5=fffb6eb9d383eee5283af1b68c512dc2
ISBN : 9783939897279
Keywords : Communication, Computer simulation, Errors, Face routing, Geographical clustering, Graph theory, Localization, Multi-dimensional scaling, Planar graph, Sensor nodes, Simulation studies
Campus : Kochi
Year : 2011
Abstract : Localized geographic single path routing along a wireless network graph requires exact location information about the network nodes to assure message delivery guarantees. Node localization in practice however is not exact. Errors ranging from several centimeters up to several meters are usual. How to perform localized routing in practice when such errors are prevalent? In this work welook at a promising routing variant which does not completely overcome this practical problem but which mitigates it. The concept does away with trying to find node positions as precise as possible but allows inaccuracies from the very beginning. It partitionsthe plane by a regular mesh of hexagons. The only information whichis of interest is in which cell of that partitioning a node is located in. Using this node embedding, a virtual geographic overlay graph can then be constructed. Tofind the nodep ositionswe apply three variants of multidimensional scaling, two of them being a node localization approach which has been well studiedin the context of sensor networks and one which we apply here for thefirst time in that context. Using the location information we get from these localization approaches we embed the nodes into the clusters their location falls into. We define two graph metrics to assess the quality of the overlay graph obtained by the embedding. Applying these two metrics in a simulation study, we show that cluster based routing is an eligible approach to support localized geographic routing when location errors are prevalent. © Hannes Frey and Ranjith Pillay.
Cite this Research Publication : Ha Frey and Pillay, Rb, “A feasibility check for geographical cluster based routing under inaccurate node localization in wireless sensor networks”, in OpenAccess Series in Informatics, Kiel, 2011, vol. 17, pp. 145-156.