Skip to main content
SpringerLink
Log in

Prediction based indoor fire escaping routing with wireless sensor network

  • Published:
Peer-to-Peer Networking and Applications Aims and scope Submit manuscript

Abstract

Fire hazard causes lots of economic loss and personal injuries every year. Many ways are proposed to help people escape quickly from dangerous region. As one key step for fire escaping, the fire escaping system detects fire and dynamically provides escaping route to help people escape from fire scene. With the advanced technique, Wireless Sensor Network (WSN), the fire escaping system is developed to be more promising for fire escaping than before. Most existing fire escaping systems ignore or simplify the dynamics of fire hazard. Thus people’s safety is not guaranteed with fire spreading and growing. This paper designs a new fire spread model based on confidential data created by the powerful simulation system: Fire Dynamics Simulator (FDS). Based on the model, this paper predicts the Available Egress Duration (AED) of all locations in the building. Considering both the length and AED of each escaping route, this paper designs a faSt firE Escaping algorithm (SEE). To evaluate the performance of our approach, this paper conducts experiments on a real WSN platform with TelosB nodes. Experiment results confirm that the fire spread model in this paper can achieve high prediction accuracy. SEE outperforms the existing prediction based approaches by utilizing more AED, so that people can escape with higher probability.

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

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2
Fig. 3
Fig. 4
Fig. 5
Fig. 6
Fig. 7
Fig. 8
Fig. 9
Fig. 10

Similar content being viewed by others

References

  1. World fire statistics http://www.ctif.org/ctif/world-fire-statistics (2016). Accessed September 23 2016

  2. Barnes M, Leather H, Arvind D (2007) Emergency evacuation using wireless sensor networks. In: 32nd IEEE conference on local computer networks (LCN). IEEE, Dublin, Ireland, pp 851– 857

  3. Berry D, Usmani A, Torero JL, Tate A, McLaughlin S, Potter S, Trew A, Baxter R, Bull M, Atkinson M (2005) FireGrid: integrated emergency response and fire safety engineering for the future built environment. In: UK e-Science Programme All Hands Meeting (AHM). Nottingham, UK

  4. Chen J, Xu W, He S, Sun Y, Thulasiraman P, Shen X (2010) Utility-based asynchronous flow control algorithm for wireless sensor networks. IEEE J Sel Areas Commun 28(7):1116–1126

    Article  Google Scholar 

  5. Chi JH (2013) Reconstruction of an inn fire scene using the Fire Dynamics Simulator (FDS) program. J Forensic Sci 58(s1):S227—S234

  6. Chipara O, Griswold WG, Plymoth AN, Huang R, Liu F, Johansson P, Rao R, Chan T, Buono C (2012) WIISARD: a measurement study of network properties and protocol reliability during an emergency response. In: Proceedings of the 10th international conference on Mobile systems, applications, and services (MobiSys). ACM, Low Wood Bay, Lake District, United Kingdom, pp 407–420

  7. Deng R, Zhang Y, He S, Chen J, Shen X (2016) Maximizing network utility of rechargeable sensor networks with spatiotemporally coupled constraints. IEEE J Sel Areas Commun 34(5):1307–1319

    Article  Google Scholar 

  8. Dimakis N, Filippoupolitis A, Gelenbe E (2010) Distributed building evacuation simulator for smart emergency management. Comput J 53(9):1384–1400

    Article  Google Scholar 

  9. Filippoupolitis A, Gelenbe E (2009) A distributed decision support system for building evacuation. In: the 2nd Conference on Human System Interactions (HSI). IEEE, Catania, Italy, pp 323–330

  10. Gnawali O, Fonseca R, Jamieson K, Moss D, Levis P (2009) Collection tree protocol. In: Proceedings of the 7th ACM conference on embedded networked sensor systems. ACM, Berkeley, California, USA, pp 1–14

  11. Goodwin M, Granmo OC, Radianti J (2015) Escape planning in realistic fire scenarios with Ant Colony Optimisation. Appl Intell 42(1):24–35

    Article  Google Scholar 

  12. He S, Chen J, Li X, Shen XS, Sun Y (2014) Mobility and intruder prior information improving the barrier coverage of sparse sensor networks. IEEE Trans Mob Comput 13(6):1268–1282

    Article  Google Scholar 

  13. Kokuti A, Gelenbe E (2014) Directional enhancements for emergency navigation. In: Symposium on intelligent embedded systems (IES). IEEE, Orlando, Florida, USA, pp 14–20

  14. Li M, Liu Y, Wang J, Yang Z (2009) Sensor network navigation without locations. In: The 28th annual international conference on computer communications (INFOCOM). IEEE, Rio de Janeiro, Brazil, pp 2419–2427

  15. Li Q, De Rosa M, Rus D (2003) Distributed algorithms for guiding navigation across a sensor network. In: Proceedings of the 9th annual international conference on Mobile computing and networking (MOBICOM). ACM, San Diego, California, pp 313–325

  16. Li S, Zhan A, Wu X, Yang P, Chen G (2011) Efficient emergency rescue navigation with wireless sensor networks. J Inf Sci Eng 27(1):51–64

    Google Scholar 

  17. Liu J, Rojas-Cessa R, Dong Z (2016) Sensing, calculating, and disseminating evacuating routes during an indoor fire using a sensor and diffusion network. In: 2016 IEEE 13th international conference on networking, sensing, and control (ICNSC). IEEE, pp 1–6

  18. Liu S, Tu D, Zhang Y (2009) Multiparameter fire detection based on wireless sensor network. In: IEEE international conference on intelligent computing and intelligent systems (ICIS), vol 3, pp 203–206

  19. McGrattan K, Hostikka S, Floyd JE (2010) Fire dynamics simulator (version 5), users guide. NIST Spec Publ 1019(5):1–186

    Google Scholar 

  20. Pan MS, Tsai CH, Tseng YC (2006) Emergency guiding and monitoring applications in indoor 3D environments by wireless sensor networks. Int J Sensor Netw 1(1/2):2–10

    Article  Google Scholar 

  21. Purser DA, McAllister JL (2016) Assessment of hazards to occupants from smoke, toxic gases, and heat. In: SFPE handbook of fire protection engineering. Springer, pp 2308–2428

  22. Radianti J, Granmo OC, Sarshar P, Goodwin M, Dugdale J, Gonzalez JJ (2015) A spatio-temporal probabilistic model of hazard-and crowd dynamics for evacuation planning in disasters. Appl Intell 42(1):3–23

    Article  Google Scholar 

  23. Tseng YC, Pan MS, Tsai YY (2006) Wireless sensor networks for emergency navigation. Computer 39 (7):55–62

    Article  Google Scholar 

  24. Wang L, He Y, Liu W, Jing N, Wang J, Liu Y (2015) On oscillation-free emergency navigation via wireless sensor networks. IEEE Trans Mob Comput 14(10):2086–2100

    Article  Google Scholar 

  25. Yang Q, He S, Li J, Chen J, Sun Y (2015) Energy-Efficient Probabilistic Area Coverage in Wireless Sensor Networks. IEEE Trans Veh Technol 64(1):367–377

    Article  Google Scholar 

  26. Zhang H, Cheng P, Shi L, Chen J (2016) Optimal dos attack scheduling in wireless networked control system. IEEE Trans Control Syst Technol 24(3):843–852

    Article  Google Scholar 

  27. Zhang Y, He S, Chen J (2016) Data Gathering Optimization by Dynamic Sensing and Routing in Rechargeable Sensor Networks. IEEE/ACM Trans Networking 24(3):1632–1646. doi:10.1109/TNET.2015.2425146

    Article  Google Scholar 

Download references

Acknowledgments

This work is under the support of General Program of the National Natural Science Foundation of China under Grants No. 61473109, 612727539 and 61003298, the Zhejiang Province Natural Science Foundation under Grant No. LY14F020042 and LQ14F020013, and the Graduate Scientific Research Foundation of Hangzhou Dianzi University.

Author information

Authors and Affiliations

  1. College of Computer Science and Technology, Hangzhou Dianzi University, Hangzhou, 310018, China

    Zhi Li, Jianhui Zhang, Xingfa Shen & Jin Fan

Authors
  1. Zhi Li
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jianhui Zhang
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Xingfa Shen
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Jin Fan
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Jianhui Zhang.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Li, Z., Zhang, J., Shen, X. et al. Prediction based indoor fire escaping routing with wireless sensor network. Peer-to-Peer Netw. Appl. 10, 697–707 (2017). https://doi.org/10.1007/s12083-016-0520-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12083-016-0520-x

Keywords

Search

Navigation