Multi-Agent Approach for Resilience Enhancement in Wireless Sensor and Actuator Networks

被引:0
|
作者
Januario, Pablo [1 ,2 ]
Cardoso, Alberto [2 ]
Gil, Paulo [1 ,2 ,3 ]
机构
[1] Univ Nova Lisboa, Fac Ciencias & Tecnol, Dept Engn Electrotecn, NOVA, Monte De Caparica, Portugal
[2] Univ Coimbra, Ctr Informat & Syst, CISUC, Coimbra, Portugal
[3] Univ Nova Lisboa, Fac Ciencias & Tecnol, CTS UNINOVA, Monte De Caparica, Portugal
关键词
SYSTEM;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recent advances on networked devices, with different communication structures and capabilities, are reshaping the network communications-based supervision, while raising new challenges. In particular, as a result of the integration of control systems with state of the art information technologies, new uncertainties, not only from the tangible physical world, but also from a cyber-space perspective, are brought into play. One of the most vulnerable components of these systems is the wireless nodes, which can have a major impact on the overall systems' performance. This paper focus on the development of a hierarchical multi-agent framework for resilience enhancement over wireless sensor and actuator networks. Experimental results collected from a laboratory IPv6 based test-bed comprising distributed computational devices and heterogeneous communications, show unequivocally the relevance and inherent benefits of the proposed approach.
引用
收藏
页数:6
相关论文
共 50 条
  • [31] A Multi-Agent Middleware for Resilience Enhancement in Heterogeneous Control Systems
    Januario, Fabio
    Cardoso, Alberto
    Gil, Paulo
    2019 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL TECHNOLOGY (ICIT), 2019, : 988 - 993
  • [32] A Multi-agent Model for Fire Detection in Coal Mines using Wireless Sensor Networks
    Khan, Zeshan Aslam
    de Freitas, Edison Pignaton
    Larsson, Tony
    Abbas, Haider
    2013 12TH IEEE INTERNATIONAL CONFERENCE ON TRUST, SECURITY AND PRIVACY IN COMPUTING AND COMMUNICATIONS (TRUSTCOM 2013), 2013, : 1754 - 1761
  • [33] A multi-agent model for fire detection in coal mines using wireless sensor networks
    Khan, Zeshan Aslam
    Pignaton De Freitas, Edison
    Larsson, Tony
    Abbas, Haider
    Proceedings - 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2013, 2013, : 1754 - 1761
  • [34] Multi-agent negotiation mechanisms for statistical target classification in wireless multimedia sensor networks
    Wang, Xue
    Bi, Dao-Wei
    Ding, Liang
    Wang, Sheng
    SENSORS, 2007, 7 (10) : 2201 - 2237
  • [35] Multi-agent trust-based intrusion detection scheme for wireless sensor networks
    Jin, Xianji
    Liang, Jianquan
    Tong, Weiming
    Lu, Lei
    Li, Zhongwei
    COMPUTERS & ELECTRICAL ENGINEERING, 2017, 59 : 262 - 273
  • [36] Autoregressive moving average model as a multi-agent routing protocol for wireless sensor networks
    黄如
    黄浩
    陈志华
    何兴勇
    Journal of Beijing Institute of Technology, 2011, 20 (03) : 421 - 426
  • [37] Autoregressive moving average model as a multi-agent routing protocol for wireless sensor networks
    Huang, Ru
    Huang, Hao
    Chen, Zhi-Hua
    He, Xing-Yong
    Journal of Beijing Institute of Technology (English Edition), 2011, 20 (03): : 421 - 426
  • [38] Intelligent multi-agent model for energy-efficient communication in wireless sensor networks
    Saleem, Kiran
    Wang, Lei
    Bharany, Salil
    Ouahada, Khmaies
    Rehman, Ateeq Ur
    Hamam, Habib
    EURASIP JOURNAL ON INFORMATION SECURITY, 2024, 2024 (01)
  • [39] A Distributed, Multi-Agent Approach to Reactive Network Resilience
    de la Hoz, Enrique
    Manuel Gimenez-Guzman, Jose
    Marsa-Maestre, Ivan
    Cruz-Piris, Luis
    Orden, David
    AAMAS'17: PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, 2017, : 1044 - 1053
  • [40] Optimizing energy efficiency of LoRaWAN-based wireless underground sensor networks: A multi-agent reinforcement learning approach
    Zhao, Guozheng
    Lin, Kaiqiang
    Chapman, David
    Metje, Nicole
    Hao, Tong
    INTERNET OF THINGS, 2023, 22