Design and analysis of a WBAN-based system for firefighters

An efficient and safe firefighting activity requires a continuous sensing and monitoring of environmental conditions and firefighters' health, to react efficiently to the fire incident, and detect life-threatening situations. These requirements can be achieved through the development of Wireless Body Area Networks (WBANs) for firefighters. In this work, we design a WBAN based firefighting system. A cluster-based hierarchical topology is designed and a cooperative communication model is proposed, allowing firefighters to work in groups. We also propose two novel models for placing firefighters and coordinating their activities. These models allow a team leader to move randomly around the fire area and inside a combat zone modeled by a thick ring, while attracting the other firefighters of his group to follow approximately his trajectory. A simulation is conducted to evaluate the performance of the proposed system and models.

[1]  Federica Pascucci,et al.  An enhanced indoor positioning system for first responders , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[2]  Geetha Jayakumar,et al.  Reference Point Group Mobility and Random Waypoint Models in Performance Evaluation of MANET Routing Protocols , 2008, J. Comput. Networks Commun..

[3]  Mahin K. Atiq,et al.  A reliable energy-balancing multi-group (REM) routing protocol for firefighter communication networks , 2014, EURASIP J. Wirel. Commun. Netw..

[4]  Peter Langendörfer,et al.  Body area network for first responders: a case study , 2010, BODYNETS.

[5]  Michael Beigl,et al.  A Concept for Support of Firefighter Frontline Communication , 2013, Future Internet.

[6]  Weisong Shi,et al.  Using Wireless Sensor Networks for Fire Rescue Applications: Requirements and Challenges , 2006, 2006 IEEE International Conference on Electro/Information Technology.

[7]  Vipul Gupta,et al.  Energy analysis of public-key cryptography for wireless sensor networks , 2005, Third IEEE International Conference on Pervasive Computing and Communications.

[8]  Bruce Lowekamp,et al.  A structured group mobility model for the simulation of mobile ad hoc networks , 2004, MobiWac '04.