A Target Tracking Algorithm Based on Internet of Things Spatial Meshing

The three-dimensional spatial target tracking based on wireless communication technology has attracted more and more attention due to its importance in the field of Internet of Things.However,there are still some problems including calculation overhead is too high and power consumption is too large....

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Vydané v:Applied Mechanics and Materials Ročník 513-517; číslo Applied Science, Materials Science and Information Technologies in Industry; s. 1261 - 1267
Hlavní autori: Zhang, Xiao Ming, Wang, Yong Heng, He, Jia Hong
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Zurich Trans Tech Publications Ltd 06.02.2014
Predmet:
Algorithms
Internet
Networks
Power consumption
Scheduling
Target tracking
Three dimensional
Tracking
Spatial Segmental Linear Fitting
Internet of Things (IOT)
Three-Dimensional Target Tracking
Unite Cluster Head Mechanism
ISBN:9783038350125, 3038350125
ISSN:1660-9336, 1662-7482, 1662-7482
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Popis
Shrnutí:The three-dimensional spatial target tracking based on wireless communication technology has attracted more and more attention due to its importance in the field of Internet of Things.However,there are still some problems including calculation overhead is too high and power consumption is too large.Thus,a distributed three-dimensional target tracking mechanism for the environment of the Internet of Things is proposed.The network structure in the algorithm uses spatial clustering structure, which includes two tier sleep scheduling mechanisms and unite cluster head mechanism. A spatial segmental linear fitting method is adopted to track the target,which have effectively reduced the network overhead and improved tracking efficiency. It also provides a scheduling strategy how to wake up the sensor node guarantee to continue tracking it,when the mobile target lost.Simulation results show that the algorithm is better than the existing target tracking algorithm in tracking efficiency and have a lower power consumption.
Bibliografia:Selected, peer reviewed papers from the 2014 International Conference on Advances in Materials Science and Information Technologies in Industry (AMSITI 2014), January 11-12, 2014, Xi’an, China
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ISBN:9783038350125
3038350125
ISSN:1660-9336
1662-7482
1662-7482
DOI:10.4028/www.scientific.net/AMM.513-517.1261