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Uncertainty in sensor data acquisition for SOA system

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Abstract

The computational data received from sensors are varying according to situation depending on data accuracy. So, for a particular time period, it is very tough to find the appropriate data for its certainty. In this paper, all received sensor data are to be assumed as fuzzy numbers, and such assumption could be beneficial to improve the functionality of data availability and accessibility in service-oriented architecture (SOA) system. Whenever any service is requested for updated sensor data, it must be handled through well-defined architecture, and this is governed by enterprise service bus (ESB). This ESB extends the features for SOA as well as strengthen the service middleware architecture. Sensor data received through this ESB would need corrections and cleanliness which could be done through fuzzy theory and help in reducing the uncertainty in data.

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This research is being prepared for personal interests. No funding is available.

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Authors and Affiliations

  1. Discipline of Computer Science and Engineering, Indian Institute of Technology Indore, Khandwa Road, Indore, Madhya Pradesh, 452053, India

    Robin Singh Bhadoria

  2. Department of Computer Science and Engineering, Visvesvaraya National Institute of Technology, Nagpur, Maharashtra, 440010, India

    Narendra S. Chaudhari

  3. Department of Basic Sciences (Appl. Mathematics), Indian Institute of Information Technology, Nagpur, Maharashtra, 440006, India

    Sovan Samanta

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  1. Robin Singh Bhadoria
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  2. Narendra S. Chaudhari
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  3. Sovan Samanta
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Correspondence to Sovan Samanta.

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Bhadoria, R.S., Chaudhari, N.S. & Samanta, S. Uncertainty in sensor data acquisition for SOA system. Neural Comput & Applic 30, 3177–3187 (2018). https://doi.org/10.1007/s00521-017-2910-2

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  • DOI: https://doi.org/10.1007/s00521-017-2910-2

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