Holonic control-based sensor management

被引:0
|
作者
Benaskeur, Abder Rezak [1 ]
Irandoust, Hengameh [1 ]
McGuire, Peter [2 ]
Brennan, Robert [3 ]
机构
[1] DRDC Valcartier, 2459 Blvd Pie 11 North, Quebec City, PQ G3J 1X5, Canada
[2] C CORE, St John, NF A1B 3X5, Canada
[3] Univ Calgary, Calgary, AB T2N 1N4, Canada
关键词
sensor management; holonic systems; data fusion; target tracking; control architecture;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper discusses the application of holonic control paradigm to sensor management in military surveillance operations. Sensor management is described both as part of the data fusion process and as a control problem. The choice of holonic control as the most adequate architecture for sensor management in the military environment is explained and its application to surveillance operations illustrated. Holonic control is then simulated using a littoral surveillance scenario to test sensor management with and without feedback from high-level fusion (closed-loop versus open-loop). The results show that closed-loop sensor management significantly enhances global surveillance performance, reduces detection time of threatening objects, and reduces platforms' load, thus increasing stealth and decreasing detectability.
引用
收藏
页码:81 / +
页数:2
相关论文
共 50 条
  • [1] The application of holonic control to tactical sensor management
    McGuire, P.
    Liggins, G.
    Benaskeur, A.
    Brennan, R. W.
    Wojcik, P.
    [J]. DIS 2006: IEEE WORKSHOP ON DISTRIBUTED INTELLIGENT SYSTEMS: COLLECTIVE INTELLIGENCE AND ITS APPLICATIONS, PROCEEDINGS, 2006, : 225 - +
  • [2] Feedback Control-Based Energy Management for Ubiquitous Sensor Networks
    Zhu, Ting
    Zhong, Ziguo
    Gu, Yu
    He, Tian
    Zhang, Zhi-Li
    [J]. IEICE TRANSACTIONS ON COMMUNICATIONS, 2010, E93B (11) : 2846 - 2854
  • [3] Optimal Control-Based Strategy for Sensor Deployment
    Ababnah, Ahmad
    Natarajan, Balasubramaniam
    [J]. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS, 2011, 41 (01): : 97 - 104
  • [4] Adaptive Control-Based Clock Synchronization in Wireless Sensor Networks
    Yildirim, Kasim Sinan
    Carli, Ruggero
    Schenato, Luca
    [J]. 2015 EUROPEAN CONTROL CONFERENCE (ECC), 2015, : 2806 - 2811
  • [5] Control-Based Resource Management for Storage of Video Streams
    Martins, Alexandre
    Lindberg, Mikael
    Maggio, Martina
    Arzen, Karl-Erik
    [J]. IFAC PAPERSONLINE, 2020, 53 (02): : 5542 - 5549
  • [6] PCR: A Power Control-based Opportunistic Routing for Underwater Sensor Networks
    Coutinho, Rodolfo W. L.
    Boukerche, Azzedine
    Loureiro, Antonio A. F.
    [J]. MSWIM'18: PROCEEDINGS OF THE 21ST ACM INTERNATIONAL CONFERENCE ON MODELING, ANALYSIS AND SIMULATION OF WIRELESS AND MOBILE SYSTEMS, 2018, : 173 - 180
  • [7] Control-based quality adaptation in data stream management systems
    Tu, YC
    Hefeeda, M
    Xia, YN
    Prabhakar, S
    Liu, S
    [J]. DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS, 2005, 3588 : 746 - 755
  • [8] A Feedback Control-Based Crowd Dynamics Management in IoT System
    Kawamoto, Yuichi
    Yamada, Naoto
    Nishiyama, Hiroki
    Kato, Nei
    Shimizu, Yoshitaka
    Zheng, Yao
    [J]. IEEE INTERNET OF THINGS JOURNAL, 2017, 4 (05): : 1466 - 1476
  • [9] Fuzzy Control-based Energy Management for Fuel Cell Bus
    Liu, Ling
    Li, Xi
    Xie, Yongbo
    Wang, Wenming
    Song, Chao
    [J]. 2018 INTERNATIONAL CONFERENCE ON IMAGE AND VIDEO PROCESSING, AND ARTIFICIAL INTELLIGENCE, 2018, 10836
  • [10] Dynamic Threshold Control-Based Adaptive Message Filtering in Mobile Sensor Networks
    Jang, Sung Ho
    Ma, Yong Beom
    Lee, Jong Sik
    [J]. COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2009, PT I, 2009, 5592 : 810 - 820