Autonomous community construction and coordination technology to achieve real-time transmission in multiple emergencies’ situation | Telecommunication Systems Skip to main content
Springer Nature Link
Log in

Autonomous community construction and coordination technology to achieve real-time transmission in multiple emergencies’ situation

  • Published:
Telecommunication Systems Aims and scope Submit manuscript

Abstract

Wireless Sensor Network (WSN) is used in Emergency Management System (EMS). If emergency situation happens, real-timely transmitting emergency information in dynamically changing environment should be assured. But this requirement could not be satisfied by conventional approaches which are based on static situation and centralized management. In this paper, to satisfy this requirement, autonomous community construction technology is proposed for single emergency. Emergency information could be transmitted in community and protected from interference of other information’s transmission. Moreover, autonomous coordination technology is proposed for multiple emergencies’ information’s transmission. Via this technology, each emergency could have its individual route to transmit emergency information. Each emergency information’s transmission will not influence with each other. Evaluation results are provided to demonstrate the improvement.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

We’re sorry, something doesn't seem to be working properly.

Please try refreshing the page. If that doesn't work, please contact support so we can address the problem.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10
Fig. 11
Fig. 12
Fig. 13
Fig. 14
Fig. 15
Fig. 16

Similar content being viewed by others

Explore related subjects

Discover the latest articles, news and stories from top researchers in related subjects.

References

  1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks, 38, 393–422.

    Article  Google Scholar 

  2. Estrin, D., Govindan, R., Heidemann, J., & Kumar, S. (1999). Next century challenges: scalable coordination in sensor networks. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking, USA (pp. 263–270).

    Chapter  Google Scholar 

  3. Lorincz, K., Malan, D. J., Fulford-Jones, T. R. F., Nawoj, A., Clavel, A., Shnayder, V., Mainland, G., Welsh, M., & Moulton, S. (2004). Sensor networks for emergency response: challenges and opportunities. IEEE Pervasive Computing, 3(4), 16–23.

    Article  Google Scholar 

  4. Li, S., Lin, Y., Son, S. H., Stankovic, J. A., & Wei, Y. (2004). Event detection services using data service middleware in distributed sensor networks. Telecommunications Systems, 26(2), 351–368.

    Article  Google Scholar 

  5. Low, K. S., Win, W. N. N., & Er, M. J. (2005). Wireless sensor networks for industrial environments. In Proceedings of the 2005 international conference on computational intelligence for modelling, control and automation, and international conference on intelligent agents, web technologies and Internet commerce (CIMCA-IAWTIC ’05), Vienna, November 2005 (pp. 271–276).

    Google Scholar 

  6. Abbas, C. B., González, R., Cardenas, N., & García, V. (2008). A proposal of a wireless sensor network routing protocol. Telecommunications Systems, 38(1), 61–68.

    Article  Google Scholar 

  7. Liu, H.-J., Huang, M.-W., Hsieh, W.-S., & Jan, C. J. (2009). Priority-based hybrid protocol in wireless sensor networks. In Proceedings of 11th IEEE international conference on high performance computing and communications (HPCC ’09) (pp. 214–221).

    Chapter  Google Scholar 

  8. Boukerche, A., Araujo, R. B., & Villas, L. (2006). A wireless actor and sensor networks QoS-aware routing protocol for the emergency preparedness class of applications. In Proceedings of 31st IEEE conference on local computer networks (pp. 832–839).

    Google Scholar 

  9. Mori, K. (1993). Autonomous decentralized systems: concept, data field architecture and future trends. In Proceedings of the international symposium on autonomous decentralized systems (ISADS ’93), Kawasaki, Japan (pp. 28–34).

    Chapter  Google Scholar 

  10. Mahmood, K., Lu, X., Horikoshi, Y., & Mori, K. (2009). Autonomous pull-push community construction technology for high-assurance. IEICE Transactions on Information and Systems, E92-D(10), 1836–1846).

    Article  Google Scholar 

  11. Tia, G., Pesto, C., Selavo, L., Yin, C., Jeong, G. K., Lim, J. H., Terzis, A., Watt, A., Jeng, J., Bor-rong, C., Lorincz, K., & Welsh, M. (2008). Wireless medical sensor networks in emergency response: implementation and pilot results. In Proceedings of IEEE conference on technologies for homeland security (pp. 187–192).

    Google Scholar 

  12. Petersen, S., Carlsen, S., & Talevski, A. (2008). Industrial IT revolution through wireless sensor network technologies. In Proceedings of IEEE first conference on industry IT revolutions (pp. 1–6).

    Google Scholar 

  13. Pogkas, N., Karastergios, G., Antonopoulos, C., Koubias, S., & Papadopoulos, G. (2005). An ad-hoc sensor network for disaster relief operations. In Proceedings of 10th IEEE conference on emerging technologies and factory automation (Vol. 2, pp. 131–139).

    Chapter  Google Scholar 

  14. Niki, S., Murakami, S., Mahmood, K., Lu, X., & Mori, K. (2009). Autonomous decentralized community wireless sensor network architecture to achieve high-speed connectivity under dynamical situation. In Proceedings of 9th IEEE international symposium on autonomous decentralized systems (ISADS ’09) (pp. 297–304).

    Google Scholar 

  15. Ahlberg, M., Vlassov, V., & Yasui, T. (2006). Router placement in wireless sensor networks. In Proceedings of IEEE international conference on mobile adhoc and sensor systems (MASS ’06) (pp. 538–541).

    Chapter  Google Scholar 

  16. Institute of Electrical and Electronics Engineers, Inc. (2003). IEEE std. 802.15.4-2003. wireless medium access control (MAC) and physical layer (PHY) specifications for low rate wireless personal area networks (LR-WPANs). New York: IEEE Press.

    Google Scholar 

  17. Barontib, P., Pillaia, P., Chooka, V. W. C., Chessab, S., Gottab, A., & Hu, Y. F. (2007). Wireless sensor networks: a survey on the state of the art and the 802.15.4 and ZigBee standards. Computer Communications, 30(7), 1655–1695.

    Article  Google Scholar 

  18. http://www.omnetpp.org/.

  19. Vakil, S., & Liang, B. (2006). Balancing cooperation and interference in wireless sensor networks. In Proceedings of 3rd annual IEEE communications society on sensor and ad hoc communications and networks (SECON ’06) (Vol. 1, pp. 198–206).

    Chapter  Google Scholar 

  20. Akyildiz, I. F., Wang, X., & Wang, W. (2005). Wireless mesh networks: a survey. Computer Networks, 47(4), 445–487.

    Article  Google Scholar 

  21. Zhou, G., He, T., Stankovic, J. A., & Abdelzaher, T. (2005). RID: radio interference detection in wireless sensor networks. In Proceedings of 24th annual joint conference of the IEEE computer and communications societies (INFOCOM 2005) (Vol. 2, pp. 891–901).

    Chapter  Google Scholar 

  22. Intanagonwiwat, C., Govindan, R., Heidemann, J., Silva, F., & Estrin, D. (2003). Directed diffusion for wireless sensor networking. IEEE/ACM Transactions on Networking, 11(1), 2–16.

    Article  Google Scholar 

  23. Shakshuki, E., Malik, H., & Denko, M. (2008). Software agent-based directed diffusion in wireless sensor network. Telecommunications Systems, 38(3), 161–174.

    Article  Google Scholar 

  24. Perkins, C. E., & Royer, E. M. (1999). Ad-hoc on-demand distance vector routing. In Proceedings of second IEEE workshop on mobile computing systems and applications (WMCSA ’99), New Orleans, November 1999 (pp. 90–100).

    Chapter  Google Scholar 

  25. Perkins, C. E., & Royer, E. M. (1994). Highly dynamic destination-sequenced distance-vector routing for mobile computers. In Proceedings of the conference on communications architectures, protocols and applications (SIGCOMM ’94), London, UK, September 1994 (pp. 234–244).

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Electronic Navigation Research Institute, 7-42-23 Jindaiji-higashimachi, Chofu, Tokyo, 182-0012, Japan

    Xiaodong Lu

  2. School of Computer Science, Xi’an Shiyou University, No. 18, Dianzi 2nd Road, Xi’an, 710065, P.R. China

    Fan Wei

  3. Department of Information and Communication Engineering, University of Rajshahi, Rajshahi, 6205, Bangladesh

    M. Emdadul Haque

  4. Green Computing Systems Research Organization, Waseda University, Waseda Bld. 40-305, 27 Waseda, Shinjuku, Tokyo, 162-0042, Japan

    Kinji Mori

Authors
  1. Fan Wei
    View author publications

    You can also search for this author inPubMed Google Scholar

  2. M. Emdadul Haque
    View author publications

    You can also search for this author inPubMed Google Scholar

  3. Xiaodong Lu
    View author publications

    You can also search for this author inPubMed Google Scholar

  4. Kinji Mori
    View author publications

    You can also search for this author inPubMed Google Scholar

Corresponding author

Correspondence to Fan Wei.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Wei, F., Haque, M.E., Lu, X. et al. Autonomous community construction and coordination technology to achieve real-time transmission in multiple emergencies’ situation. Telecommun Syst 54, 61–78 (2013). https://doi.org/10.1007/s11235-013-9716-z

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11235-013-9716-z

Keywords