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Reseach Article

Low Cost Emergency Android Base Paging

by Mehak Sheikh, Umay Kulsoom
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 7 - Number 4
Year of Publication: 2017
Authors: Mehak Sheikh, Umay Kulsoom

Mehak Sheikh, Umay Kulsoom . Low Cost Emergency Android Base Paging. Communications on Applied Electronics. 7, 4 ( Jul 2017), 22-27. DOI=10.5120/cae2017652639

@article{ 10.5120/cae2017652639,
author = { Mehak Sheikh, Umay Kulsoom },
title = { Low Cost Emergency Android Base Paging },
journal = { Communications on Applied Electronics },
issue_date = { Jul 2017 },
volume = { 7 },
number = { 4 },
month = { Jul },
year = { 2017 },
issn = { 2394-4714 },
pages = { 22-27 },
numpages = {9},
url = { },
doi = { 10.5120/cae2017652639 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T20:03:10.699193+05:30
%A Mehak Sheikh
%A Umay Kulsoom
%T Low Cost Emergency Android Base Paging
%J Communications on Applied Electronics
%@ 2394-4714
%V 7
%N 4
%P 22-27
%D 2017
%I Foundation of Computer Science (FCS), NY, USA

Number of disasters is increasing day by day. A large number of people get affected by these disasters. The most immediate action to take once some disaster has occurred is to visit that location and provide facilities to the victims of disaster. This approach i.e. to provide services to the affected victims should be as timelier and as soon possible to save maximum lives and other properties from disasters. This paper discusses and analyzes that how are the services provided by disaster management systems by detection of disaster in immediate manner, how we can improve this system to identify the affected area immediately and to reach over there with minimum delay. It also discusses that what sort of network architecture and paging mechanism can be designed for better communication with minimum delay.

  1. Turoff, M., Hiltz, S.R., Bañuls, V.A. and Van Den Eede, G., 2013. Multiple perspectives on planning for emergencies: An introduction to the special issue on planning and foresight for emergency preparedness and management, ScienceDirect.
  2. Simon, T., Goldberg, A. and Adini, B., 2015. Socializing in emergencies—A review of the use of social media in emergency situations. International Journal of Information Management, 35(5), pp.609-619.
  3. Lee, S., Lee, S., Kim, K. and Park, J., 2012, April. Bursty event detection from text streams for disaster management. In Proceedings of the 21st International Conference on World Wide Web (pp. 679-682). ACM.
  4. Lee, S., Lee, S., Kim, K. and Park, J., 2012, April. Bursty event detection from text streams for disaster management. In Proceedings of the 21st International Conference on World Wide Web (pp. 679-682). ACM.
  5. Olteanu, A., Vieweg, S. and Castillo, C., 2015, February. What to expect when the unexpected happens: Social media communications across crises. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 994-1009). ACM.
  6. Hughes, A.L., St Denis, L.A., Palen, L. and Anderson, K.M., 2014, April. Online public communications by police & fire services during the 2012 Hurricane Sandy. In Proceedings of the 32nd annual ACM conference on Human factors in computing systems (pp. 1505-1514). ACM.
  7. Lee, J., Bharosa, N., Yang, J., Janssen, M. and Rao, H.R., 2011. Group value and intention to use—A study of multi-agency disaster management information systems for public safety. Decision Support Systems, 50(2), pp.404-414.
  8. Ley, B., Pipek, V., Reuter, C. and Wiedenhoefer, T., 2012, May. Supporting improvisation work in inter-organizational crisis management. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 1529-1538). ACM.
  9. Imran, M., Castillo, C., Lucas, J., Meier, P. and Vieweg, S., 2014, April. AIDR: Artificial intelligence for disaster response. In Proceedings of the 23rd International Conference on World Wide Web (pp. 159-162). ACM.
  10. Starbird, K. and Palen, L., 2013, February. Working and sustaining the virtual Disaster Desk. In Proceedings of the 2013 conference on Computer supported cooperative work (pp. 491-502). ACM.
  11. Ye, X., Wen, J. and Ding, P., 2010, June. Integrated natural disasters risk management in tourism destination—A case study of 5.12 WenChuan Earthquake. In Management of Innovation and Technology (ICMIT), 2010 IEEE International Conference on (pp. 1248-1252). IEEE.
  12. Laksmiwati, H., Widyani, Y. and Yusuf, A., 2014, November. Modeling unpredictable data and moving object in disaster management information system based on spatio-temporal data model. In Data and Software Engineering (ICODSE), 2014 International Conference on (pp. 1-6). IEEE.
  13. Song, S., Hong, S., Guan, X., Choi, B.Y. and Choi, C., 2013, May. NEOD: network embedded on-line disaster management framework for software defined networking. In Integrated Network Management (IM 2013), 2013 IFIP/IEEE International Symposium on (pp. 492-498). IEEE.
  14. Han, Y., Wang, Y., Chen, J., Kong, Y., Dong, S. and Huang, P., 2011, August. Geo-hazards risk management system and approach. In Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on (pp. 1156-1159). IEEE.
  15. Tishchenko, Y.G., Shutko, A.M., Savorskiy, V.P., Smirnov, M.T., Krapivin, V.F., Kancheva, R., Georgiev, G., Nikolov, H. and Petkov, D., 2007, June. Regional monitoring of the Black Sea basin for ecological disasters mitigation. In Recent Advances in Space Technologies, 2007. RAST'07. 3rd International Conference on (pp. 684-686). IEEE.
  16. Peng, H. and Xin, J., 2008, October. Research on the Emergent Management of Disaster Crisis and its Grey Relation Model. In Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on (pp. 1-5). IEEE.
  17. Ji, F. and Hou, Y., 2010, November. A Research on the Fuzzy Risk Assessment Model of Storm Surge Disaster Based on Artificial Neural Network. In Database Technology and Applications (DBTA), 2010 2nd International Workshop on (pp. 1-4). IEEE.
  18. Xu, C., Zhang, Y., Shen, L., Xu, J. and Gong, Z., 2010, December. Research of the Automatic Insertion System of a Searching and Rescuing Robot. In Robotics and Biomimetics (ROBIO), 2010 IEEE International Conference on (pp. 1121-1123). IEEE.
  19. Alazawi, Z., Altowaijri, S., Mehmood, R. and Abdljabar, M.B., 2011, August. Intelligent disaster management system based on cloud-enabled vehicular networks. In ITS Telecommunications (ITST), 2011 11th International Conference on (pp. 361-368). IEEE.
  20. Zhang, C., Ma, S., Yang, L. and Liang, Y., 2010, August. Research on safety management based on dynamic emergency management model in coal mine. In Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on (pp. 135-139). IEEE.
  21. Chandana, S. and Leung, H., 2010. A system of systems approach to disaster management. IEEE Communications Magazine, 48(3).
  22. Raj, R.J.R. and Sasipraba, T., 2010, November. Disaster management system based on GIS web services. In Recent Advances in Space Technology Services and Climate Change (RSTSCC), 2010 (pp. 252-261). IEEE.
  23. Wang, Q. and Dai, B., 2010, December. Emergency Logistics Management in Natural Disasters. In Computational and Information Sciences (ICCIS), 2010 International Conference on (pp. 409-412). IEEE.
  24. Da Silva, R.I., Almeida, V.D.D., Poersch, A.M. and Nogueira, J.M.S., 2010, April. Wireless sensor network for disaster management. In Network Operations and Management Symposium (NOMS), 2010 IEEE (pp. 870-873). IEEE.
  25. Scafes, M., Badica, C., Pavlin, G. and Kamermans, M., 2010, November. Design and implementation of a service negotiation framework for collaborative disaster management applications. In Intelligent Networking and Collaborative Systems (INCOS), 2010 2nd International Conference on (pp. 519-524). IEEE.
  26. Ahmad, N., Riaz, N. and Hussain, M., 2011. Ad hoc wireless sensor network architecture for disaster survivor detection. International Journal of Advanced Science and Technology, 34(9), p.16.
  27. Sattorov, M., Choi, J.M. and Kang, H.J., 2010, August. A Role of Orthogonal Frequency Division Multiplexing Modulation System in the Disaster Management Systems. In Embedded and Multimedia Computing (EMC), 2010 5th International Conference on (pp. 1-4). IEEE.
  28. Atanasovski, V.M. and Gavrilovska, L.M., 2009, May. Managing emergency situations in IEEE 802.21 enabled networking environments. In EUROCON 2009, EUROCON'09. IEEE (pp. 1924-1929). IEEE.
  29. Ye, X., Dai, Z. and Wang, Y., 2009, June. Research and application of problem model of emergency decision support system. In Service Systems and Service Management, 2009. ICSSSM'09. 6th International Conference on (pp. 789-793). IEEE.
  30. JawahirCheMustaphaYusuf,MazlihamMohdSu‟ud, Patrice Boursier, Muhammad Alam“Extensive Overview of an Ontology-based Architecture for Accessing Multi-format Information for Disaster Management”, IEEE 2012
  31. Blair, K. and Orr, M., 2011. Insights from an iBleep trial: A report on lessons learned. Health Care and Informatics Review Online, 15(1), pp.3-12.
  32. iBleep,
  33. On-Page,
  34. Vview,
  35. FEMA,
  36. Openfire,
  37. Features of Android Operating System,
Index Terms

Computer Science
Information Sciences


Multipath Interface Paging Center Paging Service Transmitters vulnerability Emergency logistics Natural disasters Disaster Prevention Service