Abstract
Due to the damage of existing network infrastructure (Internet, GSM, etc.) in any post-disaster scenario, it is difficult to assess the damage as well as the demands of the victims trapped at various regions. Due to the crisis of real time communication, victims as well as the rescue team could not fulfill the actual requirement and therefore unable to decide their functionality at any particular point of time. Due to lack of timely genuine situational information, it is quite challenging for any relief or rescue team to assess the exact requirement/damages of affected regions. Many times it has been observed that the distribution of relief materials at different sites did not match with the actual demands, due to adhoc distribution of recourses. As a consequence, in some areas limited amount of relief materials had been sent irrespective of assessing the actual damage. To dealt with these issues, using a subset of existing network architecture an adhoc multi-hop communication system has been designed. A set of applications have been developed on top of it, where victims (mobile nodes) can generate situational information of any affected region regarding to the casualty or need at any particular point of time through a light weight android application. The generated messages will be transferred seamlessly to other mobile nodes on contact. Finally, those messages would be dumped in a master storage box (MSB). As a result, in MSB the information is processed using background applications to wipe out redundancy and inconsistencies. A number of reports could be generated regarding the resource needs of different sites for effective need assessment and resource allocation by the relief organizations at the early stage of any disaster. The proposed group of applications have been tested for a large volume of dummy crowd-sourced data for quality evaluation.
References
Saha, S., et al.: Designing delay constrained hybrid ad hoc network infrastructure for post-disaster communication. Ad Hoc Networks 25, 406–429 (2015)
Paul, P.S., et al.: Demo: pSync: a peer-to-peer sync tool for challenged networks. In: Proceedings of the 10th ACM MobiCom Workshop on Challenged Networks. ACM (2015)
Paul, P.S., et al.: On design and implementation of a scalable and reliable Sync system for delay tolerant challenged networks. In: 2016 8th International Conference on Communication Systems and Networks (COMSNETS). IEEE (2016)
Mondal, T., Chakraborty, S., Roy, J., Saha, A., Bhattacharya, I., Saha, S.: Smart navigation and dynamic path planning of a micro-jet in a post disaster scenario
http://www.pdc.org/solutions/tools/disaster-alert-app/. Accessed 13 Jan 2017
http://www.gdacs.org/. Accessed 13 Jan 2017
https://earshotinc.com/about/. Accessed 13 Jan 2017
https://play.google.com/store/apps/details?id=com.joshclemm.android.quake&hl=en. Accessed 13 Jan 2017
https://www.google.co.in/search?q=Disaster+Radar+(Global)%5D&oq=Disaster+Radar+(Global)%5D&aqs=chrome..69i57.687j0j4&sourceid=chrome&ie=UTF-8#q=Disaster+Radar+(Global). Accessed 13 Jan 2017
Kaklauskas, A., Amaratunga, D., Haigh, R.: Knowledge model for post-disaster management. Int. J. Strateg. Property Manag. 13(2), 117–128 (2009)
Acknowledgements
This research work is an outcome of the Government of India Project titled DiSARM funded by Information Technology Research Academy, Media Lab. Asia, Department of Electronics & Information Technology, Ministry of Communications and Information Technology.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2017 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mondal, T., Bhattacharya, I., Roy, J., Maity, M. (2017). Use of Infrastructure-Less Network Architecture for Crowd Sourcing and Periodic Report Generation in Post Disaster Scenario. In: Mandal, J., Dutta, P., Mukhopadhyay, S. (eds) Computational Intelligence, Communications, and Business Analytics. CICBA 2017. Communications in Computer and Information Science, vol 775. Springer, Singapore. https://doi.org/10.1007/978-981-10-6427-2_19
Download citation
DOI: https://doi.org/10.1007/978-981-10-6427-2_19
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-6426-5
Online ISBN: 978-981-10-6427-2
eBook Packages: Computer ScienceComputer Science (R0)