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Future Internet Technologies and Trends. First International Conference, ICFITT 2017, Surat, India, August 31 - September 2, 2017, Proceedings

Research Article

Activity Based Resource Allocation in IoT for Disaster Management

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  • @INPROCEEDINGS{10.1007/978-3-319-73712-6_22,
        author={J. Kumar and Mukesh Zaveri and Meghavi Choksi},
        title={Activity Based Resource Allocation in IoT for Disaster Management},
        proceedings={Future Internet Technologies and Trends. First International Conference, ICFITT 2017, Surat, India, August 31 - September 2, 2017, Proceedings},
        proceedings_a={ICFITT},
        year={2018},
        month={2},
        keywords={Resource allocation Disaster management Internet of Things Graph theory Stable matching},
        doi={10.1007/978-3-319-73712-6_22}
    }
    
  • J. Kumar
    Mukesh Zaveri
    Meghavi Choksi
    Year: 2018
    Activity Based Resource Allocation in IoT for Disaster Management
    ICFITT
    Springer
    DOI: 10.1007/978-3-319-73712-6_22
J. Kumar1,*, Mukesh Zaveri1,*, Meghavi Choksi1,*
  • 1: SVNIT
*Contact email: ds14co001@coed.svnit.ac.in, mazaveri@coed.svnit.ac.in, meghavichoksi@gmail.com

Abstract

Efficient utilization of resources during disasters is a major and non-trivial problem. Improper resource allocations is due to lacking in knowledge of activity priorities. Due to disaster, in a major instances, communication networks are ruined. In this regard, Internet of Things (IoT) helps to a great extent in establishment of dynamic network for communication. Further, priority based stable matching algorithm is used for allocation of resources for the corresponding activities. This approach determines for maximum utilization of resources with complete accomplishment of activities efficiently. Also, we evaluated our approach with execution time and fairness of resource allocation for utility.

Keywords
Resource allocation Disaster management Internet of Things Graph theory Stable matching
Published
2018-02-01
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-319-73712-6_22
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