Premium
A hybrid localization and tracking system in camera sensor networks
Author(s) -
Gao Deyun,
Zhu Wanting,
Xu Xiaoyu,
Chao HanChieh
Publication year - 2014
Publication title -
international journal of communication systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.344
H-Index - 49
eISSN - 1099-1131
pISSN - 1074-5351
DOI - 10.1002/dac.2492
Subject(s) - computer science , wireless sensor network , node (physics) , tracking (education) , energy consumption , position (finance) , real time computing , energy (signal processing) , hybrid system , wireless , tracking system , artificial intelligence , computer network , telecommunications , electrical engineering , psychology , pedagogy , statistics , mathematics , structural engineering , finance , machine learning , engineering , economics , kalman filter
SUMMARY Position information is of vital importance in the various applications in energy‐constrained wireless sensor networks. It has to design a localization mechanism considering both precision and energy consumption factors. In this paper, we propose a hybrid localization system in wireless sensor networks, which is composed of coarse‐grained localization system and fine‐grained localization system. The coarse‐grained localization system takes the wireless signal strength as the reference for distance and gets the rough region as the unknown node. The fine‐grained localization system is in charge of location refinement that takes image to localize the unknown node with camera sensor nodes. On the basis of the hybrid localization system, we furthermore design a hybrid tracking system for localizing a moving object. Finally, we build up a test bed to conduct experiments with our developed sensor network. The experiment results show that the proposed hybrid localization and tracking system can achieve high position precision and low energy consumption. Copyright © 2012 John Wiley & Sons, Ltd.