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Research On Mobile Node Three-dimensional Localization Algorithm In WSNs

Posted on:2015-09-25Degree:MasterType:Thesis
Country:ChinaCandidate:B ZouFull Text:PDF
GTID:2298330434953902Subject:Electronic Science and Technology
Abstract/Summary:PDF Full Text Request
It’s very important for detection activity of WSNs to get the location information. In practical applications, the sensor nodes are often distributed in three-dimensional space, such as mountain area, forests, oceans, and so on, and the mobility of the nodes often can’t be neglected. Hence, it is required that localization algorithm can realize the estimation of the location of mobile node in three-dimensional space.A distributed range-free anchor box localization algorithm based on the Monte Carlo localization algorithms is designed for mobile node of three-dimensional(3D) space in WSNs. An external cube is used to represent the communication and moving range of the node, the moving range of the unknown node and the anchor node communication range to form sampling region, the volume of the anchor box to determine the number of samples whose average was taken to be the estimated position of the node. Simulation experiments reveal that our algorithm can provide accurate localization, and this localization algorithm is superior to that of the centroid algorithm even when nodes move at relevant speed and the anchor node ratio and communication radius is relatively small, through the analysis of different sample number, time slot, the anchor node ratio, node number, node speed, communication radius, and degree of irregularity of communication range influence on the location error, and the localization of mobile node is realized in3D environment effectively.A weighted monte carlo mobile node3D localization algorithm is designed by introducing a neighbor node effective sample voting mechanism. This algorithm makes full use of the location information of neighbor node, to vote for the effective sample, and the sample which is closer to the true location will get greater weight, through the weights to reflect the influence of the neighbor node to the estimated position to improve positioning accuracy. Simulation results reveal that the localization accuracy is higher than the anchor box3d algorithm and centroid algorithm through the analysis of different time slot, the anchor node ratio, node number, node speed and communication radius influence on the location error. This algorithm has high robustness, extensibility and localization accuracy, and is a kind of distributed range-free3d localization algorithm, and is suitable for large-scale practical application in mobile wireless sensor networks.
Keywords/Search Tags:wireless sensor networks, localization, three-dimensionalspace, mobile node
PDF Full Text Request
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