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基于 WSN 使用的目标跟踪整体模型。

An integral model for target tracking based on the use of a WSN.

机构信息

DISCA, Universitat Politècnica de València, Camino de Vera s/n, Valencia 46022, Spain.

出版信息

Sensors (Basel). 2013 Jun 3;13(6):7250-78. doi: 10.3390/s130607250.

DOI:10.3390/s130607250
PMID:23736849
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3715218/
Abstract

The use of wireless sensor networks (WSN) in tracking applications is growing at a fast pace. In these applications, the sensor nodes discover, monitor and track an event or target object. A significant number of proposals relating the use of WSNs for target tracking have been published to date. However, they either focus on the tracking algorithm or on the communication protocol, and none of them address the problem integrally. In this paper, a comprehensive proposal for target detection and tracking is discussed. We introduce a tracking algorithm to detect and estimate a target location. Moreover, we introduce a low-overhead routing protocol to be used along with our tracking algorithm. The proposed algorithm has low computational complexity and has been designed considering the use of a mobile sink while generating minimal delay and packet loss. We also discuss the results of the evaluation of the proposed algorithms.

摘要

无线传感器网络(WSN)在跟踪应用中的使用正在快速发展。在这些应用中,传感器节点发现、监测和跟踪事件或目标对象。迄今为止,已经发表了大量关于使用 WSN 进行目标跟踪的相关提案。然而,它们要么专注于跟踪算法,要么专注于通信协议,没有一个全面解决问题。在本文中,讨论了一种用于目标检测和跟踪的综合方案。我们引入了一种跟踪算法来检测和估计目标位置。此外,我们引入了一种低开销的路由协议,与我们的跟踪算法一起使用。所提出的算法具有低计算复杂度,并考虑到使用移动接收器来生成最小的延迟和数据包丢失。我们还讨论了对所提出的算法的评估结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/1fa8140c5685/sensors-13-07250f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/af5dbc0d8b53/sensors-13-07250f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/5e88e18e0add/sensors-13-07250f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/8adb51347d76/sensors-13-07250f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/5f9a6a6f5175/sensors-13-07250f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/763de8edab29/sensors-13-07250f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/d7e6272f7215/sensors-13-07250f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/79cffb9ede11/sensors-13-07250f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/1a9253a5022e/sensors-13-07250f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/a0bd24024db6/sensors-13-07250f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/264ffa5b07c5/sensors-13-07250f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/26f796bb771d/sensors-13-07250f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/269e94588745/sensors-13-07250f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/1fa8140c5685/sensors-13-07250f13.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/af5dbc0d8b53/sensors-13-07250f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/5e88e18e0add/sensors-13-07250f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/8adb51347d76/sensors-13-07250f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/5f9a6a6f5175/sensors-13-07250f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/763de8edab29/sensors-13-07250f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/d7e6272f7215/sensors-13-07250f6.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/79cffb9ede11/sensors-13-07250f7.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/1a9253a5022e/sensors-13-07250f8.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/a0bd24024db6/sensors-13-07250f9.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/264ffa5b07c5/sensors-13-07250f10.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/26f796bb771d/sensors-13-07250f11.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/269e94588745/sensors-13-07250f12.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cf2d/3715218/1fa8140c5685/sensors-13-07250f13.jpg

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