An Emergency-Adaptive Routing Scheme for Wireless Sensor Networks for Building Fire Hazard Monitoring

Fire hazard monitoring and evacuation for building environments is a novel application area for the deployment of wireless sensor networks. In this context, adaptive routing is essential in order to ensure safe and timely data delivery in building evacuation and fire fighting resource applications. Existing routing mechanisms for wireless sensor networks are not well suited for building fires, especially as they do not consider critical and dynamic network scenarios. In this paper, an emergency-adaptive, real-time and robust routing protocol is presented for emergency situations such as building fire hazard applications. The protocol adapts to handle dynamic emergency scenarios and works well with the routing hole problem. Theoretical analysis and simulation results indicate that our protocol provides a real-time routing mechanism that is well suited for dynamic emergency scenarios in building fires when compared with other related work.

[1]  Kenneth N. Brown,et al.  A Dynamic Model for Fire Emergency Evacuation Based on Wireless Sensor Networks , 2009, 2009 Eighth International Symposium on Parallel and Distributed Computing.

[2]  Yu-Chee Tseng,et al.  Wireless sensor networks for emergency navigation , 2006, Computer.

[3]  Azzedine Boukerche,et al.  A fast and reliable protocol for wireless sensor networks in critical conditions monitoring applications , 2004, MSWiM '04.

[4]  Yu-Chee Tseng,et al.  Emergency guiding and monitoring applications in indoor 3D environments by wireless sensor networks , 2006, Int. J. Sens. Networks.

[5]  Chang-Gun Lee,et al.  Probabilistic QoS guarantee in reliability and timeliness domains in wireless sensor networks , 2005, Proceedings IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies..

[6]  John A. Rockett Experience in the Use of Zone Type Building Fire Models , 1993 .

[7]  Dirk Pesch,et al.  Environmental monitoring aware routing: making environmental sensor networks more robust , 2010, Telecommun. Syst..

[8]  Van Jacobson,et al.  Congestion avoidance and control , 1988, SIGCOMM '88.

[9]  Leonidas J. Guibas,et al.  Locating and Bypassing Holes in Sensor Networks , 2006, Mob. Networks Appl..

[10]  Shivakant Mishra,et al.  A Robust and Light-Weight Routing Mechanism for Wireless Sensor Networks , 2004 .

[11]  Young-Jin Kim,et al.  Lazy cross-link removal for geographic routing , 2006, SenSys '06.

[12]  D. K. Arvind,et al.  Emergency Evacuation using Wireless Sensor Networks , 2007, 32nd IEEE Conference on Local Computer Networks (LCN 2007).

[13]  Brad Karp,et al.  GPSR : Greedy Perimeter Stateless Routing for Wireless , 2000, MobiCom 2000.

[14]  Chenyang Lu,et al.  SPEED: a stateless protocol for real-time communication in sensor networks , 2003, 23rd International Conference on Distributed Computing Systems, 2003. Proceedings..

[15]  Norsheila Fisal,et al.  A real-time routing protocol with load distribution in wireless sensor networks , 2008, Comput. Commun..

[16]  Kenneth N. Brown,et al.  Building fire emergency detection and response using wireless sensor networks , 2009 .

[17]  Guoliang Xing,et al.  Real-time Power-Aware Routing in Sensor Networks , 2006, 200614th IEEE International Workshop on Quality of Service.

[18]  Ying Zhang,et al.  A Robust and Efficient Flooding-Based Routing for Wireless Sensor Networks , 2006, J. Interconnect. Networks.

[19]  William D. Davis,et al.  Quantifying fire model evaluation using functional analysis , 1999 .