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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| Published in: | Applied Mechanics and Materials Vol. 513-517; no. Applied Science, Materials Science and Information Technologies in Industry; pp. 1261 - 1267 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Zurich
Trans Tech Publications Ltd
06.02.2014
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| Subjects: | |
| ISBN: | 9783038350125, 3038350125 |
| ISSN: | 1660-9336, 1662-7482, 1662-7482 |
| Online Access: | Get full text |
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| Summary: | 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. |
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| Bibliography: | 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 ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 |
| ISBN: | 9783038350125 3038350125 |
| ISSN: | 1660-9336 1662-7482 1662-7482 |
| DOI: | 10.4028/www.scientific.net/AMM.513-517.1261 |

