Cooperative network solution and implementation for emergency applications with enhanced position estimation capability
- 278 Downloads
This paper proposes a cooperative network topology for emergency applications which comprises of incident scene networks (ISN) and external area networks. Both base stations and rescuers in ISN are modeled as nodes with the capabilities of software defined radio and signal processing. A worldwide interoperability for microwave access-based emergency protocol is proposed with which rescuers can estimate their geo-locations via time difference of arrival based on more than four known base stations coordinates. A comparative study of state-of-the-art position estimation methods have been carried out for the proposed cooperative network topology to select the most robust method. Hardware results for the most robust position estimation method without/with multipath mitigation have been implemented and presented to estimate the location of the rescuer.
KeywordsPositioning system Software defined radio (SDR) Public safety Emergency applications Position estimation
The authors would like to thank the team of the iRadio laboratory, The University of Calgary.
- 1.Genovese, A., Labati R. D., Piuri V. & Scotti F. (2011). Wildfire smoke detection using computational intelligence techniques. IEEE International Conference Computational Intelligence for Measurement Systems and Applications (CIMSA), 1–6, 19–21 September.Google Scholar
- 2.Amin M., Hudaya A. & Khan A. I. (2011). Spatio-temporal forest fire detection using a distributed hierarchical graph neuron within an integrated wireless sensor network-grid environment. The Second International Conference on Parallel, Distributed, Grid and Cloud Computing for Engineering 2011, (PARENG 2011), Ajaccio, Corsica, France, 12–15 April 2011.Google Scholar
- 3.Liu Y., Gu Y., Chen G., Ji Y. & Li J. (2011). A novel accurate forest fire detection system using wireless sensor networks. Seventh International Conference on Mobile Ad-hoc and Sensor Networks (MSN), 52–59, 16–18 December.Google Scholar
- 4.Klann et al. M., (2007). Life net: An ad-hoc sensor network and wearable system to provide firefighters with navigation support. Proceedings of 9th International Conference on Ubiquitous Computing, 124–127.Google Scholar
- 5.Scholz M., Riedel T., Decker C. (2010). A flexible architecture for a robust indoor navigation support device for firefighters. Seventh International Conference nn Networked Sensing Systems, (INNS 2010).Google Scholar
- 6.Chen Z., Chen L., Liu Y. & Piao Y. (2009). Application research of wireless mesh network on earthquake. International Conference on Industrial and Information Systems, 2009 (IIS ‘09), 19–22, 24–25 April 2009.Google Scholar
- 9.Chunlei A., Timm-Giel A. & Goerg C. (2009). Virtual sensor network lifeline for communications in fire fighting rescue scenarios. Proceedings of IEEE Vehicular Technology Conference Fall (VTC Fall), 1–5 September 2009.Google Scholar
- 10.Zeng Y., Sreenan C. J. & Sitanayah L. (2010). A real-time and robust routing protocol for building fire emergency applications using wireless sensor networks. Proceedings of IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), 358–363.Google Scholar
- 11.Del Re E., Morosi S., Jayousi S. & Sacchi C. (2009). SALICE—Satellite-assisted localization and communication systems for emergency services. 1st International Conference on Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology, (Wireless VITAE 2009), 544–548, 17–20 May 2009.Google Scholar
- 12.Sana S. and Matsumoto M. (2007). A wireless sensor network protocol for disaster management. Information, Decision and Control (IDC ‘07), 209–213.Google Scholar
- 14.Rantakokko, J., Handel, P., Fredholm, M., & Marsten-Eklof, F. (2010). User requirements for localization and tracking technology: A Survey of mission-specific needs and constraints. Zurich: International Conference on Indoor Positioning and Indoor Navigation (IPIN).Google Scholar
- 15.Sana S. & Matsumoto M. (2007). A framework for data collection and wireless sensor network protocol for disaster management. The 2nd International Conference on Communication Systems Software and Middleware (COMSWARE 2007), 1–6.Google Scholar
- 16.Pawelczak P., Prasad R. V., Xia L., Niemegeers I. G. M. M. (2005). Cognitive radio emergency networks—requirements and design. Proceedings of IEEE International Conference on New Frontiers in Dynamic Spectrum Access Networks, 601–606.Google Scholar
- 24.http://focus.ti.com/general/docs/bcg/bcggencontent.tsp. Broadband Solutions: e-Newsletter, Texas Instruments.
- 25.www.cse.wustl.edu/~jain/cse574-06/ftp/WiMAX/. Metropolitan and Regional Wireless Networking: 802.16, 802.20 and 802.22.
- 26.http://www.agilent.com/about/newsroom/tmnews/background/WiMAX/, What is WiMAX: A WiMAX Overview.
- 27.Ault A., Coyle E., Zhong X., (2005). K-nearest-neighbor analysis of received signal strength distance estimation across environments. Proceedings of the First Workshop on Wireless Network Measurements, April. 2005.Google Scholar