Crisis management using MAS-based wireless sensor networks

  • Authors:
  • Ahmad Sardouk;Majdi Mansouri;Leila Merghem-Boulahia;Dominique Gaiti;Rana Rahim-Amoud

  • Affiliations:
  • MobiNetS, R&D department, Paris, France;Electrical and Computer Engineering Program, Texas A&M University at Qatar, Doha, Qatar;ICD/ERA, CNRS UMR-STMR 6279, Troyes University of Technology, France;ICD/ERA, CNRS UMR-STMR 6279, Troyes University of Technology, France;LaSTRe, Azm Research Center, Lebanese University, Lebanon

  • Venue:
  • Computer Networks: The International Journal of Computer and Telecommunications Networking
  • Year:
  • 2013

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Abstract

Wireless communication is increasingly used to manage large-scale crises (e.g., natural disasters or a large-scale city fire). Communication has traditionally been based on cellular networks. However, real-life experience has proven that the base stations of these networks may collapse or become unreachable during a crisis. An incident commander must also know as much information as possible about the occurring events to control them quickly and efficiently. This paper thus proposes a crisis management approach that overcomes the problems encountered by the base stations and insures relevant, rich and real-time information about events. This approach is based on wireless sensor networks, which are distributed in nature with no need for infrastructure and could be deployed in dangerous and inaccessible zones to gather information. Our proposal uses a multi-agent system as a software layer. The multi-agent system aims to improve the wireless sensor network performance by allowing cooperation between sensor nodes, offering better lifetime management and virtualizing the application layer. This virtualization supports several required applications simultaneously, including event monitoring and object tracking. Through successive simulations, we prove the importance of our approach in crisis management using several criteria to estimate the position's error in object tracking, end-to-end delay and wireless sensor network lifetime management.