Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers

Research Article

Network Selection for Remote Healthcare Systems through Mapping between Clinical and Network Parameter

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  • @INPROCEEDINGS{10.1007/978-3-642-37949-9_3,
        author={Rajeev Agrawal and Amit Sehgal},
        title={Network Selection for Remote Healthcare Systems through Mapping between Clinical and Network Parameter},
        proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 9th International Conference, QShine 2013, Greader Noida, India, January 11-12, 2013, Revised Selected Papers},
        proceedings_a={QSHINE},
        year={2013},
        month={7},
        keywords={Index Terms: heterogeneous networks network selection remote healthcare fuzzy logic QoS},
        doi={10.1007/978-3-642-37949-9_3}
    }
    
  • Rajeev Agrawal
    Amit Sehgal
    Year: 2013
    Network Selection for Remote Healthcare Systems through Mapping between Clinical and Network Parameter
    QSHINE
    Springer
    DOI: 10.1007/978-3-642-37949-9_3
Rajeev Agrawal1, Amit Sehgal1
  • 1: G.L. Bajaj Institute of Technology and Management

Abstract

The paper presents fuzzy based approach to select best suited network for remote healthcare services. A direct mapping between clinical parameters and corresponding QoS network parameters is done. The paper proposes an application independent integrated system where stage of the disease is identified based on the fuzzified clinical parametric values which are critical for that disease. Based on critical nature of the disease i.e. stage of disease, the requirements of network QoS are defined in linguistic terms. This eliminates strict sense condition on any specific network and selects most suited network out of all available networks. The objective is to avoid denial of service in case of unavailability of a network with high QoS values and also to conserve resources in case the patient is in normal condition medically. A simulation study has been presented to verify the selection of the network based on stage of disease.