DistressNet: a wireless ad hoc and sensor network architecture for situation management in disaster response

Situational awareness in a disaster is critical to effective response. Disaster responders require timely delivery of high volumes of accurate data to make correct decisions. To meet these needs, we present DistressNet, an ad hoc wireless architecture that supports disaster response with distributed collaborative sensing, topology-aware routing using a multichannel protocol, and accurate resource localization. Sensing suites use collaborative and distributed mechanisms to optimize data collection and minimize total energy use. Message delivery is aided by novel topology management, while congestion is minimized through the use of mediated multichannel radio protocols. Estimation techniques improve localization accuracy in difficult environments.

[1]  Tamás Kalmár-Nagy,et al.  Distributed cut detection in sensor networks , 2008, SenSys '08.

[2]  Chen Zhang,et al.  ExScal: elements of an extreme scale wireless sensor network , 2005, 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA'05).

[3]  John A. Stankovic,et al.  Context-aware wireless sensor networks for assisted living and residential monitoring , 2008, IEEE Network.

[4]  Brian Gallagher,et al.  MaxProp: Routing for Vehicle-Based Disruption-Tolerant Networks , 2006, Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications.

[5]  Matt Welsh,et al.  Sensor networks for emergency response: challenges and opportunities , 2004, IEEE Pervasive Computing.

[6]  Ricardo Gutierrez-Osuna,et al.  High-Resolution Speech Signal Reconstruction in Wireless Sensor Networks , 2009, 2009 6th IEEE Consumer Communications and Networking Conference.

[7]  Gang Zhou,et al.  VigilNet: An integrated sensor network system for energy-efficient surveillance , 2006, TOSN.

[8]  Sang Hyuk Son,et al.  On composability of localization protocols for wireless sensor networks , 2008, IEEE Network.

[9]  Myounggyu Won,et al.  RE2-CD: Robust and Energy Efficient Cut Detection in Wireless Sensor Networks , 2009, WASA.

[10]  Wei Zhou,et al.  Towards higher throughput and energy efficiency in dense wireless ad hoc and sensor networks , 2010, SAC '10.

[11]  R. Stoleru,et al.  RE 2-CD : Robust and Energy Efficient Cut Detection in Wireless Sensor Networks , 2009 .