A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks | Zendy

Peng Gao | Zendy; Weiren Shi | Zendy; Wei Zhou | Zendy; Hongbing Li | Zendy; Xiaogang Wang | Zendy

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A Location Predicting Method for Indoor Mobile Target Localization in Wireless Sensor Networks

Author(s) -

Peng Gao,

Weiren Shi,

Wei Zhou,

Hongbing Li,

Xiaogang Wang

Publication year - 2013

Publication title -

international journal of distributed sensor networks

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.324

H-Index - 53

eISSN - 1550-1477

pISSN - 1550-1329

DOI - 10.1155/2013/949285

Subject(s) - computer science , position (finance) , motion planning , real time computing , wireless sensor network , path (computing) , trajectory , node (physics) , interval (graph theory) , wireless , artificial intelligence , data mining , computer network , telecommunications , physics , mathematics , structural engineering , finance , combinatorics , astronomy , robot , engineering , economics

Node position information is one of the important issues in many wireless sensor networks' usages. In this paper, based on path planning, a location predicting method (PPLP) for indoor mobile target localization is proposed. We first establish the path planning model to constrain the movement trajectory of the mobile target in indoor environment according to indoor architectural pattern. Then, one certain localization result can be obtained using MLE algorithm. After that, based on the path-planning model and some previous localization results, the most likely position of the target in the next time interval can be predicted with the proposed predicting approach. Finally, the MLE result and prediction result are weighted to obtain the final position. The simulation results demonstrate the effectiveness of the proposed algorithm. © 2013 Peng Gao et al.

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