Abstract
Emergency evacuation is the most important task at a site, struck by a disaster and the task is best accomplished when an up-to-date map of the disaster site is readily available. This paper addresses the problem of generating a disaster site map of a building on fire using wireless sensor networks (WSN) which is dynamically updated to reflect the current state of disaster. Our technique assumes that the building structure is known apriori and makes use of localization and interpolation to generate hazard values at fine granularity. Interpolation allows us to obtain hazard values at places where there is no sensors and localization (using a selected UWB sensors) provides the approximate locations information of sensor measuring hazard values. Using realistic fire values, through simulation, we compare the generated map with the actual hazard values generated map and show that our technique achieves almost 90% accuracy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alarifi, A., Al-Salman, A., Alsaleh, M., Alnafessah, A.: Ultra wideband indoor positioning technologies: analysis and recent advances. In: International Conference on Cyberworlds (2016)
Arbia, D.B., MahtabAlam, M., Kadri, A., Hamida, E.B., Attia, R.: Enhanced IoT - based end-to-end emergency and disaster relief system. J. Sens. Actuator Netw. 6, 19 (2017)
Cheng, H., Hadjisophocleou, G.V.: Dynamic model of fire spread in building. Fire Saf. J. 46, 211–224 (2014)
Hammoudeh, M., Newman, R., Dennett, C., Mount, S.: Interpolation techniques for building a continuous map from discrete wireless sensor network data. Wirel. Commun. Mob. Comput. (2011). https://doi.org/10.1002/wcm.1139. https://onlinelibrary.wiley.com/
Li, N., Becerik-Gerber, B., Krishnamachari, B., Soibelman, L.: A BIM centered indoor localization algorithm to support building fire emergency response operations. Autom. Constr. 42, 78–89 (2014)
Hammoudeh, M., Newman, R., Sarah, C., Aldabbas, O.: Map as a service: a framework for visualising and maximising information return from multi-modal wireless sensor networks. Sensors (Basel, Switzerland) 15(9), 22970–23003 (2015)
Paul, A.K., Sato, T.: Localization in wireless sensor networks: a survey on algorithms, measurement techniques, applications and challenges. Sens. Actuator Netw. 6, 24 (2017)
Raj, D., Ramesh, M.V., Duttagupta, S.: Delay tolerant routing protocol for heterogeneous marine vehicular mobile ad-hoc network. In: International Conference on Pervasive Computing and Communications Workshop (2017)
Rao, S., Nithya, G.K., Rakesh, K.: Development of a wireless sensor network for detecting fire and gas leaks in a collapsing building. In: International Conference on Computing, Communications and Networking Technologies (ICCCNT) (2014)
Sreevidya, B., Rajesh, M.: Enhanced energy optimized cluster based on demand routing protocol for wireless sensor networks. In: International Conference on Advances in Computing, Communications and Informatics (2017)
Bahrepour, M., Meratnia, N., Poel, M., Taghikhaki, Z., Havinga, P.J.: Distributed event detection in wireless sensor networks for disaster management. In: International Conference on Intelligent Networking and Collaborative Systems (2010)
Gelenbe, E., Wu, F.J.: Large scale simulation for human evacuation and rescue. Comput. Math. Appl. 64, 3869–3880 (2012)
Tynan, R., O’Hare, G., Marsh, D., O’Kane, D.: Interpolation for wireless sensor network coverage. In: Second IEEE Workshop on Embedded Networked Sensors (2005)
Smys, S., Raj, J.: A self-organized structure for mobility management in wireless networks. Comput. Electr. Eng. 48, 153–163 (2015)
Duttagupta, S., Gopan, A.M.: Efficient evacuation path in a building on fire. In: International Conference on Innovation in Electronics and Communication Engineering (2019)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Mohan Vaishnav, P.S., Sai Haneesh, K., Sai Srikanth, C., Koundinya, C., Duttagupta, S. (2020). Disaster Site Map Generation Using Wireless Sensor Networks. In: Smys, S., Bestak, R., Rocha, Á. (eds) Inventive Computation Technologies. ICICIT 2019. Lecture Notes in Networks and Systems, vol 98. Springer, Cham. https://doi.org/10.1007/978-3-030-33846-6_35
Download citation
DOI: https://doi.org/10.1007/978-3-030-33846-6_35
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-33845-9
Online ISBN: 978-3-030-33846-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)