Conference Paper

Time-Bounded Essential Localization for Wireless Sensor Networks

DOI: 10.1109/TNET.2012.2200107 Conference: Fifth International Conference on Networking, Architecture, and Storage, NAS 2010, Macau, China, July 15-17, 2010
Source: DBLP


In many practical applications of wireless sensor networks, it is crucial to accomplish the localization of sensors within a given time bound. We find that the traditional definition of relative localization is inappropriate for evaluating its actual overhead in localization time. To address this issue, we define a novel problem called essential localization and present the first rigorous study on the essential localizability of a wireless sensor network within a given time bound. Additionally, we propose an efficient distributed algorithm for time-bounded essential localization over a sensor network and evaluate the performance of the algorithm with analysis and extensive simulation studies.

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    • "• Time Localization: is the number of communication rounds required to merge all the LCS of each island in a single LCS. • Time Essential Localization: is the number of communication rounds expected to translate each LCS to any LCS island [7]. • The relative localizability of network at a given time bound: a wireless sensor network is relatively localizable in k rounds of communications if and only if all sensor nodes are localized in their local coordinate systems and all local coordinate systems converge to only one LCSI in k communication rounds. "
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    ABSTRACT: Many applications of Wireless Sensor Networks (WSN) require to achieve the positions of the sensor nodes within a given time bound. In this paper we study the relative and physical localizability of WSN in a given time bound. We propose a new distributed and time bounded localization algorithm based on Multidimensional Scaling (MDS) method in WSN called D-MDS localization time algorithm. We compare the proposed algorithm to the existing algorithm based on the well-known Trilateration method. The simulation results show that the proposed algorithm outperforms the existing approach based on Trilateration method in terms of the number of localized nodes in the network and the number of anchors required to physically localize the sensors. The D-MDS localization time algorithm localizes a large number of nodes for a low node degree in a time bound. Moreover it is able to physically localize the network with a low number of anchors compared with the algorithm based on Trilateration method.
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    • "We assume that sensor nodes know their geographic locations. This can be achieved by means of the GPS [17] or some other location service methods [18] [19]. We assume that every sensor node has the same communication radius R and the network is connective. "
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