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Cluster-Based Health Monitoring Scheme in Wireless Sensor Networks

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Computational Intelligence and Sustainable Systems

Part of the book series: EAI/Springer Innovations in Communication and Computing ((EAISICC))

Abstract

The prime intention of wireless medical sensor network is to monitor patient’s well-being parameters such as heart rate, blood pressure, etc. which can be gathered by wearable or implantable sensors that are executed at doctor’s facilities and updated to the database in the form of personal health information. Any entrant might drop messages by turning to the corresponding channel, modifying the information which leads to several security issues. In previous work, the database server had physical securities on specific strategies and adopted a flexible policy control while accessing the data. Cluster-based group send-receive model (GSRM) is proposed offering reliable, secure transmission among the sensor nodes in the networks. Blowfish algorithm, a cryptography standard, has been proposed incorporated with GSRM and provides greater security during message transmission. GSRM with blowfish technique eliminates the patient’s detail modification from eavesdropping and falsifying attacks.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Velammal Institute of Technology, Chennai, Tamilnadu, India

    S. Selvakanmani, M. Shanmathi & N. S. Sandhya

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  1. S. Selvakanmani
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  2. M. Shanmathi
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  3. N. S. Sandhya
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Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Sri Eshwar College of Engineering, Coimbatore, Tamil Nadu, India

    H. Anandakumar

  2. Bannari Amman Insititute of Technology, Sathyamangalam, Tamil Nadu, India

    R. Arulmurugan

  3. University of Malaya, Kuala Lumpur, Kuala Lumpur, Malaysia

    Chow Chee Onn

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Selvakanmani, S., Shanmathi, M., Sandhya, N.S. (2019). Cluster-Based Health Monitoring Scheme in Wireless Sensor Networks. In: Anandakumar, H., Arulmurugan, R., Onn, C. (eds) Computational Intelligence and Sustainable Systems. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-030-02674-5_7

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  • DOI: https://doi.org/10.1007/978-3-030-02674-5_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-02673-8

  • Online ISBN: 978-3-030-02674-5

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