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.
This is a preview of subscription content, log in to check access.
Buy single article
Instant access to the full article PDF.
Price includes VAT for USA
Subscribe to journal
Immediate online access to all issues from 2019. Subscription will auto renew annually.
This is the net price. Taxes to be calculated in checkout.
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.
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.
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.
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.
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).
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.
Ran, Y. (2011). Considerations and suggestions on improvement of communication network disaster countermeasures after the Wenchuan earthquake. IEEE Communications Magazine, 49(1), 44–47.
Bakhtiari, S., Elmer, T. W., Cox, N. M., Gopalsami, N., Raptis, A. C., Liao, S., et al. (2012). Compact millimeter-wave sensor for remote monitoring of vital signs. IEEE Transactions on Instrumentation and Measurement, 61(3), 830–841.
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.
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.
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.
Sana S. and Matsumoto M. (2007). A wireless sensor network protocol for disaster management. Information, Decision and Control (IDC ‘07), 209–213.
Rantakokko, J., Rydell, J., Strömbäck, P., Handel, P., Callmer, J., Törnqvist, D., et al. (2011). Accurate and reliable soldier and first responder indoor positioning: Multisensor systems and cooperative localization. IEEE Wireless Communications, 18(2), 10–18.
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).
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.
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.
Sayed, A. H., Tarighat, A., & Khajehnouri, N. (2005). Network-based wireless location: Challenges faced in developing techniques for accurate wireless location information. IEEE Signal Processing Magazine, 22(4), 24–40.
Sun, G., Chen, J., Guo, W., & Liu, K. J. R. (2005). Signal processing techniques in network-aided positioning: A survey of state-of-the-art positioning designs. IEEE Signal Processing Magazine, 22(4), 12–23.
Patwari, N., Ash, J. N., Kyperountas, S., Hero, A. O., I. I. I., Moses, R. L., & Correal, N. S. (2005). Locating the nodes: Cooperative localization in wireless sensor networks. IEEE Signal Processing Magazine, 22(4), 54–69.
Figueiras, J., & Frattasi, S. (2010). Mobile Positioning and Tracking. From Conventional to Cooperative Techniques. New Jersey: John Wiley and Sons.
Mauve, M., Widmer, A., & Hartenstein, H. (2001). A survey on position-based routing in mobile ad hoc networks. IEEE Network, 15(6), 30–39.
Savarese, C., Rabaey, J. M., & Beutel, J. (2001). Locationing in distributed ad-hoc wireless sensor networks. Proceedings of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP’01), 4, 2037–2040.
Hanzo, L. (2003). OFDM and MC-CDMA for broadband multi-user communications, WLANs, and broadcasting. New Jersey: Wiley.
http://focus.ti.com/general/docs/bcg/bcggencontent.tsp. Broadband Solutions: e-Newsletter, Texas Instruments.
www.cse.wustl.edu/~jain/cse574-06/ftp/WiMAX/. Metropolitan and Regional Wireless Networking: 802.16, 802.20 and 802.22.
http://www.agilent.com/about/newsroom/tmnews/background/WiMAX/, What is WiMAX: A WiMAX Overview.
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.
Wang, X., Wang, Z., & O’Dea, B. (2003). A TOA-based location algorithm reducing the errors due to the non-line-of-sight (NLOS) propagation. IEEE Transactions on Vehicular Technology, 52, 112–116.
Venkatraman, S., Caffery, J., Jr, & You, H.-R. (2004). A novel ToA location algorithm using LoS range estimation for NLoS environments. IEEE Transactions on Vehicular Technology, 53(5), 1515–1524.
Smith, J. O., Abel, J., & Abel, J. (1987). Closed form least-squares source location estimation from range-difference measurements. IEEE Transactions on Acoustics, Speech and Signal Processing, ASSP-35(12), 1661–1669.
Bakhoum, E. G. (2006). Closed-form solution of hyperbolic geolocation equations. IEEE Transactions on Aerospace and Electronic Systems, 42(4), 1396–1404.
Foy, W. H. (1976). Position location solutions by Taylor-series estimation. IEEE Transactions on Aerospace and Electronic Systems, 12(2), 187–194.
Chan, Y. T., & Ho, K. C. (1994). A simple and efficient estimator for hyperbolic location. IEEE Transactions on Signal Processing, 42(8), 1905–1915.
The authors would like to thank the team of the iRadio laboratory, The University of Calgary.
About this article
Cite this article
Rawat, M., Rawat, K., Darraji, R. et al. Cooperative network solution and implementation for emergency applications with enhanced position estimation capability. Wireless Netw 20, 1157–1168 (2014). https://doi.org/10.1007/s11276-013-0663-0
- Positioning system
- Software defined radio (SDR)
- Public safety
- Emergency applications
- Position estimation