期刊名称：International Journal of Wireless & Mobile Networks
印刷版ISSN：0975-4679
电子版ISSN：0975-3834
出版年度：2014
卷号：6
期号：4
页码：1
DOI：10.5121/ijwmn.2014.6401
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper, a dynamic Position Location and Tracking (PL&T) method is proposed which uses anintegrated “zone finding by predictive algorithm” and “Triangulation with dynamic reference positioning”for target nodes. The nodes can be used as references or targets at different instances of time to maintainaccurate PL&T of each node in a wireless mobile network. Each node is equipped with an omnidirectionalantenna. It is shown that while “zone prediction” is fairly accurate for finding the PL&T of a target nodebased on previous good location data when the target is moving linearly in one direction, it is not adequatewhen the nodes change directions. However, once the zone is predicted, the triangulation will provideaccurate position of the target node by placing the reference nodes to form a reasonably perfect geometry.The results show that triangulation alone does not provide accurate prediction of the target locationwithout finding the zone of the target and zone finding alone does not support accuracy of PL&T when thetarget node is changing directions. Another aspect that should be of concern is the repeated PL&Toperation on the same target node at different instance of time becomes erroneous and therefore, they needto be reinitialized to get accurate locations with known wait points. Also, the references need to bereinitialized to maintain the accuracy. This requires the nodes to be dynamically used as target nodes andwith good PL&T, they are used as references at different time instances. There is an upper layer dynamicreference management is required for this technology. The proposed integrated predictive zone finding andtriangulation is particularly suitable for clustered Mobile Ad hoc Networks (MANET). Finally, this papershows the performance analysis of this system for a reasonable number of nodes within the cluster thatdemonstrates high accuracy of PL&T location data of the nodes. Of course the overhead in managing thedynamic references is increased. However, the frequency of changing the references is minimized in eachcluster as it contains few nodes (40 or less).
关键词：Position; Localization; Tracking; Zone Prediction; Triangulation
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