实现目标跟踪的光纤传感网络及其优化设计

陈喜锋; 王国利; 郭雪梅

doi:10.3724/SP.J.1004.2014.01348

实现目标跟踪的光纤传感网络及其优化设计

doi: 10.3724/SP.J.1004.2014.01348

陈喜锋^1,2,
王国利^1,2,
郭雪梅^1,2

1.
中山大学信息科学与技术学院广州 510006;
2.
广东顺德中山大学卡内基梅隆大学国际联合研究院佛山 528300

基金项目:

国家自然科学基金（61375080，61074167），广东顺德中山大学卡内基梅隆大学国际联合研究院自由申请项目（20130201）资助

详细信息

作者简介:
陈喜锋中山大学信息科学与技术学院硕士研究生. 主要研究方向为信息获取与信息处理.E-mail：xifeng301@126.com

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出版历程
- 收稿日期: 2013-09-05
- 修回日期: 2013-12-16
- 刊出日期: 2014-07-20

A Fiber Sensor Network and Its Optimization Design for Target Tracking

1.
School of Information Science and Technology, Sun Yat-sen University, Guangzhou 510006;
2.
SYSU-CMU Shunde International Joint Research Institute, Foshan 528300

Funds:

Supported by National Natural Science Foundation of China (61375080, 61074167) and Free Project of SYSU-CMU Shunde International Joint Research Institute (20130201)

摘要

摘要: 研究了实现目标跟踪的光纤传感网络部署设计问题，提出利用动态唯一可解码对感知空间进行编码，从而指导光纤传感器的部署以感知运动目标位置信息的方法，并基于蚁群算法提出了动态唯一可解码的优化设计方案. 结果表明形成的动态唯一可解码优化设计方案用于指导构建光纤传感网络能有效地减少所需部署的光纤长度.
- 光纤传感网络 /
- 目标定位 /
- 蚁群算法 /
- 优化部署设计
Abstract: This paper studies the issue of deployment design of a fiber sensor network for target tracking. The dynamic uniquely decipherable code scheme is employed to guide the fiber sensor deployment for target localization, and the ant colony algorithm is used to find the optimal deployment scheme. Experimental results show that the optimal deployment scheme can significantly reduce the length of fiber sensors required.
- Fiber sensor network /
- target localization /
- ant colony algorithm /
- optimal deployment design

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参考文献(23)

[1]	Jiang Ming-Xin, Wang Hong-Yu, Liu Xiao-Kai. A multi-target tracking algorithm based on multiple cameras. Acta Automatica Sinica, 2012, 38(4): 531-539(姜明新, 王洪玉, 刘晓凯. 基于多相机的多目标跟踪算法. 自动化学报, 2012, 38(4): 531-539)
[2]	Shen Le-Jun, You Zhi-Sheng, Li Xiao-Feng. Real-time visual tracking of multiple targets using bootstrap importance sampling. Acta Automatica Sinica, 2012, 38(10): 1663-1670(沈乐君, 游志胜, 李晓峰. 自助重要性采样用于实时多目标视觉跟踪. 自动化学报, 2012, 38(10): 1663-1670)
[3]	Liu Shao-Hua, Zhang Mao-Jun, Xiong Zhi-Hui, Chen Wang. A robust and efficient video moving object detection and tracking algorithm. Acta Automatica Sinica, 2009, 35(8): 1055-1062(刘少华, 张茂军, 熊志辉, 陈旺. 一种鲁棒高效的视频运动目标检测与跟踪算法. 自动化学报, 2009, 35(8): 1055-1062)
[4]	Zabulis X, Grammenos D, Sarmis T, Tzevanidis K, Padeleris P, Koutlemanis P, Argyros A A. Multicamera human detection and tracking supporting natural interaction with large-scale displays. Machine Vision and Applications, 2013, 24(2): 319-336
[5]	Misra S, Singh S. Localized policy-based target tracking using wireless sensor networks. ACM Transactions on Sensor Networks, 2012, 8(3), Article No.27, DOI: 10.1145/2240092.2240101
[6]	Feng G D, Guo X M, Wang G L. Infrared motion sensing system for human-following robots. Sensors and Actuators A: Physical, 2012, 185: 1-7
[7]	Hao Q, Brady D J, Guenther B D, Burchett J B, Shankar M, Feller S. Human tracking with wireless distributed pyroelectric sensors. IEEE Sensors Journal, 2006, 6(6): 1683-1696
[8]	Jaimes A, Sebe N. Multimodal human computer interaction: a survey. Computer Vision and Image Understanding, 2007, 108(1-2): 116-134
[9]	Sekmen A, Wilkes M, Kawamura K. An application of passive human-robot interaction: human tracking based on attention distraction. IEEE Transaction on Systems, 2002, 32(2): 248-259
[10]	Lee S, Ha K N, Lee K C. A pyroelectric infrared sensor-based indoor location-aware system for the smart home. IEEE Transactions on Consumer Electronic, 2006, 52(4): 1311-1317
[11]	Kersey A D. A review of recent developments in fiber optic sensor technology. Optical Fiber Technology, 1996, 2(3): 291-317
[12]	Grattan K T V, Sun T. Fiber optic sensor technology: an overview. Sensors and Actuators A: Physical, 2000, 82(1-3): 40-61
[13]	Ecke W, Latka I, Willsch R, Reutlinger A, Graue R. Fibre optic sensor network for spacecraft health monitoring. Measurement Science and Technology, 2001, 12(7): 229-240
[14]	Ohno H, Naruse H, Kihara M, Shimada A. Industrial applications of the BOTDR optical fiber strain sensor. Optical fiber Technology, 2001, 7(1): 101-140
[15]	Zheng Y H, Brady D J, Sullivan M E, Guenther B D. Fiber-optic localization by geometric space coding with a two-dimensional gray code. Applied Optics, 2005, 44(20): 4306-4314
[16]	Zheng Y H, Pitsianis N P, Brady D J. Nonadaptive group testing based fiber sensor deployment for multiperson tracking. IEEE Sensors Journal, 2006, 6(2): 490-494
[17]	Dorigo M, Gambardella L M. Ant colony system: a cooperative learning approach to the traveling salesman problem. IEEE Transactions on Evolutionary Computation, 1997, 1(1): 53-66
[18]	Di Caro G, Dorigo M. AntNet: distributed stigmergetic control for communications networks. Journal of Artificial Intelligence Research, 1998, (9): 317-355
[19]	Liu X J, Yi H, Ni Z H. Application of ant colony optimization algorithm in process planning optimization. Journal of Intelligent Manufacturing, 2013, 24(1): 1-13
[20]	Tian Zhi-Bo, Tang Li-Xin, Ren Yi-Ming, Zhao Yong-Ming, Wu Cheng-Xin. Solving open-order slab matching problem by ACO with compound neighborhood. Acta Automatica Sinica, 2009, 35(2): 186-192(田志波, 唐立新, 任一鸣, 赵永明, 邬成新. 基于合成邻域的蚁群算法求解无委托板坯匹配问题. 自动化学报, 2009, 35(2): 186-192)
[21]	Stutzle T, Dorigo M. A short convergence proof for a class of ant colony optimization algorithms. IEEE Transactions on Evolutionary Computation, 2002, 6(4): 358-365
[22]	Reed M, Yiannakou A, Evering R. An ant colony algorithm for the multi-compartment vehicle routing problem. Applied Soft Computing, 2013, 15(2014): 169-176
[23]	Chandra M B, Baskaran R. A survey: ant colony optimization based recent research and implementation on several engineering domain. Expert Systems with Applications, 2012, 39(4): 4618-4627