A target group tracking algorithm based on a hybrid sensor network

doi:10.1088/1674-1056/27/8/080101

中国物理B ›› 2018, Vol. 27 ›› Issue (8): 80101-080101.doi: 10.1088/1674-1056/27/8/080101

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A target group tracking algorithm based on a hybrid sensor network

Chun Zhang(张淳)

School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

收稿日期:2017-11-12 修回日期:2018-04-30 出版日期:2018-08-05 发布日期:2018-08-05
通讯作者: Chun Zhang E-mail:zhc1088@njupt.edu.cn
基金资助:
Project supported by the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20140875), the Scientific Research Foundation of Nanjing University of Posts and Telecommunications, China (Grant No. NY213084), and the National Natural Science Foundation of China (Grant No. 61502243).

A target group tracking algorithm based on a hybrid sensor network

Chun Zhang(张淳)

School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

Received:2017-11-12 Revised:2018-04-30 Online:2018-08-05 Published:2018-08-05
Contact: Chun Zhang E-mail:zhc1088@njupt.edu.cn
Supported by:
Project supported by the Natural Science Foundation of Jiangsu Province, China (Grant No. BK20140875), the Scientific Research Foundation of Nanjing University of Posts and Telecommunications, China (Grant No. NY213084), and the National Natural Science Foundation of China (Grant No. 61502243).

摘要/Abstract

摘要： Traditional tracking algorithms based on static sensors have several problems. First, the targets only occur in a part of the interested area; however, a large number of static sensors are distributed in the area to guarantee entire coverage, which leads to wastage of sensor resources. Second, many static sensors have to remain in active mode to track the targets, which causes an increase of energy consumption. To solve these problems, a target group tracking algorithm based on a hybrid sensor network is proposed in this paper, which includes static sensors and mobile sensors. First, an estimation algorithm is proposed to estimate the objective region by static sensors, which work in low-power sensing mode. Second, a movement algorithm based on sliding windows is proposed for mobile sensors to obtain the destinations. Simulation results show that this algorithm can reduce the number of mobile sensors participating in the tracking task and prolong the network lifetime.

关键词: hybrid sensor network, target group tracking, mobile sensors

Abstract: Traditional tracking algorithms based on static sensors have several problems. First, the targets only occur in a part of the interested area; however, a large number of static sensors are distributed in the area to guarantee entire coverage, which leads to wastage of sensor resources. Second, many static sensors have to remain in active mode to track the targets, which causes an increase of energy consumption. To solve these problems, a target group tracking algorithm based on a hybrid sensor network is proposed in this paper, which includes static sensors and mobile sensors. First, an estimation algorithm is proposed to estimate the objective region by static sensors, which work in low-power sensing mode. Second, a movement algorithm based on sliding windows is proposed for mobile sensors to obtain the destinations. Simulation results show that this algorithm can reduce the number of mobile sensors participating in the tracking task and prolong the network lifetime.

Key words: hybrid sensor network, target group tracking, mobile sensors

中图分类号: (Communication forms and techniques (written, oral, electronic, etc.))

01.20.+x

张淳. A target group tracking algorithm based on a hybrid sensor network[J]. 中国物理B, 2018, 27(8): 80101-080101.

Chun Zhang(张淳). A target group tracking algorithm based on a hybrid sensor network[J]. Chin. Phys. B, 2018, 27(8): 80101-080101.

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A target group tracking algorithm based on a hybrid sensor network

A target group tracking algorithm based on a hybrid sensor network

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