A Hybrid Mesh, Ad Hoc, and Sensor Network for Forest Fire Management

In the context of forest fire management, wireless communication is an indispensable tool. It insures events information transmission and communication between fire defenders. Traditionally, cellular networks (CNs) are used during crisis. However due to the lack of population in far forests, CNs suffer from coverage problems. In addition, the experience has proved some reachability and capacity problems of CNs. In this paper, we propose a mesh and sensor network model as a wireless communication support for forest fire management. The sensor nodes (SNs) penetrate dangerous zones to aggregate events' data and to guide rescuers to safe paths. The mesh nodes (MNs) insure communication between rescuers, and data and video transfer. Our models are empowered by a multi-agent system (MAS) to enforce the autonomy of the nodes and a fuzzy logic model to guarantee the quality of service (QoS). The simulations have proved the efficiency of our models to help in the management of forest fire.

[1]  Jacques Ferber,et al.  Multi-agent systems - an introduction to distributed artificial intelligence , 1999 .

[2]  Mario Gerla,et al.  GloMoSim: A Scalable Network Simulation Environment , 2002 .

[3]  Dominique Gaïti,et al.  A Multi-criterion Data Aggregation Scheme for WSN , 2009, 2009 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications.

[4]  S. Sana,et al.  A Wireless Sensor Network Protocol for Disaster Management , 2007, 2007 Information, Decision and Control.

[5]  J. V. Rauff,et al.  Multi-Agent Systems: An Introduction to Distributed Artificial Intelligence , 2005 .

[6]  Samir Ranjan Das,et al.  Serial data fusion using space-filling curves in wireless sensor networks , 2004, 2004 First Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, 2004. IEEE SECON 2004..

[7]  M. Matsumoto,et al.  A framework for disaster management system and WSN protocol for rescue operation , 2007, TENCON 2007 - 2007 IEEE Region 10 Conference.

[8]  Andrew T. Campbell,et al.  SWAN: service differentiation in stateless wireless ad hoc networks , 2002, Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies.

[9]  T. Koskiahde,et al.  A sensor network architecture for military and crisis management , 2008, 2008 IEEE International Symposium on Precision Clock Synchronization for Measurement, Control and Communication.

[10]  Paul J. M. Havinga,et al.  Follow me! mobile team coordination in wireless sensor and actuator networks , 2009, 2009 IEEE International Conference on Pervasive Computing and Communications.