Indian Journal of Science and Technology

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Cellular Distribution Framework for Wireless Sensor Based Decision Support Systems for Crisis Management Model


Affiliations
1 Doeacc Society, Autonomous body of Department of Technology, Kurukshetra, India
2 Department of Computer Engg., National Institute of Technology, Kurukshetra, India
 

Crises management is a challenging problem for homeland security. The challenging aspect in crisis management is the early assessment of needs and damages. The existing approaches are quite unstructured in nature which results in poor resource management and hence inefficient. In this paper, the architecture for reliable and real time approach by using sensor clusters has been proposed for storage management. Instead of storing information in an individual cluster head as suggested in some approaches, storing of information of all clusters, inside the cell is recommended within the corresponding base station. It is assumed that the sensor nodes are aware of their locations in their deployment area, and they are time synchronized. For data dissemination and action in the wireless sensor network the usage of Action and Relay Stations (ARS) has been proposed. In the designed model sensor nodes are deployed prior to a crisis and the sensed information is stored. In case of emergency stored information is queried to get the report of humans trapped under rubble. It is also used to set the objectives and policies for emergency assistance.

Keywords

Crisis Management, Data Persistent, Decentralization, Reliability, Clustering, Base Station, Action And Relay Stations (ARS)
User

  • Akyildiz IF, Su W, Sankarasubramaniam Y and Cayirci E (2002) Wireless Sensor Networks: A survey. Computer Networks. 38(4), 393-422.

  • Chen LC, Liu YC and Chan K-C (2006) Integrated communitybased disaster management program in Taiwan: a case study of Shangan village. Natural Hazards. 37(1-2), 209-223.

  • Furuta T, Sasaki M, Ishizaki F, Suzuki A and Miyazawa H (2006) A new cluster formation method for sensor networks using facility location theory. Nanzan Univ., Technical Report 01. http://www.seto.nanzanu. ac.jp/msie/nas/techreport/ index.html.

  • Ganesan D, Estrin D and Heidemann J (2003) DIMENSIONS: Why do we need a new data handling architecture for sensor networks? ACM SIGCOMM Computer Commun. Rev., ACM, NY, USA. 33(1), 143–148.

  • Ganesan D, Greenstein B, Perelyubskiy D, Estrin D, and Heidemann J (2003) An evaluation of multi-resolution storage for sensor networks. Proc. 1st Intl. Conf. on Embedded Networked Sensor Sys. ACM Press. pp: 89–102.

  • Heidemann J, Silva F, Intanagonwiwat C, Govindan R, Estrin D and Ganesan D (2001) Building efficient wireless sensor networks with low-level naming. Proc. of the 18th ACM Sym. on Operating Sys. Principles, Banff, Alberta, Canada. pp: 146-159.

  • Heinzelman WB, Chandrakasan AP and Balakrishnan H (2002) An application-specific protocol architecture for wireless microsensor networks. IEEE Trans. on Wireless Commun. 1(4), 660– 670.

  • Heinzelman WR, Chandrakasan A and Balakrishnan H (2000) Energy-efficient communication protocol for wireless microsensor networks. Proc. 33rd Hawaii Intl. Conf. on System Sci. Maui, Hawaii, 8, 8020.

  • Hill J, Szewczyk R, Woo A, Hollar S, Culler D and Pister K (2000) System architecture directions for networked sensors. Proc. 9th Intl. Conf. on Architectural Support for Programming Languages & Operating Sys. pp: 93–104.

  • Jone C, Sivalingam K, Agrawal P and Chen J (2001) A survey of energy efficient network protocols for wireless networks. J. Wireless Networks. 7, 343-358.

  • Madden S, Franklin MJ, Hellerstein JM and Hong W (2003) The design of an acquisitional query processor for sensor networks. Proc. ACM SIGMOD Intl. Conf. on Management of Data. pp: 491-502.

  • Yao Y and Gehrke JE (2002) The Cougar approach to in-network query processing in sensor networks. ACM Sigmod Record. 31 (3), pp: 9-18.


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  • Cellular Distribution Framework for Wireless Sensor Based Decision Support Systems for Crisis Management Model

Abstract Views: 367  |  PDF Views: 77

Authors

Sanjeev Gupta
Doeacc Society, Autonomous body of Department of Technology, Kurukshetra, India
Mayank Dave
Department of Computer Engg., National Institute of Technology, Kurukshetra, India

Abstract


Crises management is a challenging problem for homeland security. The challenging aspect in crisis management is the early assessment of needs and damages. The existing approaches are quite unstructured in nature which results in poor resource management and hence inefficient. In this paper, the architecture for reliable and real time approach by using sensor clusters has been proposed for storage management. Instead of storing information in an individual cluster head as suggested in some approaches, storing of information of all clusters, inside the cell is recommended within the corresponding base station. It is assumed that the sensor nodes are aware of their locations in their deployment area, and they are time synchronized. For data dissemination and action in the wireless sensor network the usage of Action and Relay Stations (ARS) has been proposed. In the designed model sensor nodes are deployed prior to a crisis and the sensed information is stored. In case of emergency stored information is queried to get the report of humans trapped under rubble. It is also used to set the objectives and policies for emergency assistance.

Keywords


Crisis Management, Data Persistent, Decentralization, Reliability, Clustering, Base Station, Action And Relay Stations (ARS)

References





DOI: https://doi.org/10.17485/ijst%2F2009%2Fv2i11%2F29535