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Proceedings of SAI Intelligent Systems Conference

IntelliSys 2016: Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016 pp 351–358Cite as

Evolutionary Testing Using Particle Swarm Optimization in IOT Applications

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 16))

Abstract

Internet of things (IOT) is coming up in a major way connecting all physical objects and managing communications and interactions. These highly informative and data intensive applications are both critical to create and manage. The research under consideration proposes an evolutionary algorithm that uses particle swarm optimization to obtain a wide search space according to the IOT data space. The testing search space has particles which are the candidate solutions to predicted errors for all encountered and un-encountered error possibilities. For each search space, particle speed and velocity moments are calculated and adjusted in perturbed iterations, depending upon the expected level of discrepancy that might appear or according to influx of data change and co-relation. This research implements the POS algorithm for optimizing IOT applications over dynamic periods of time. IOT is the future and thus needs to be both protected and tested for more comprehensive advantages coming in through IOT applications.

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Author information

Authors and Affiliations

  1. Department of Computer Engineering, CEME, National University of Sciences and Technology, Rawalpindi, Pakistan

    Hiba Khalid, Mazhar Hameed & Usman Qamar

Authors
  1. Hiba Khalid
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  2. Mazhar Hameed
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  3. Usman Qamar
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Corresponding author

Correspondence to Hiba Khalid .

Editor information

Editors and Affiliations

  1. Faculty of Computing and Engineering, School of Computing and Mathematics, University of Ulster at Jordanstown, Newtownabbey, United Kingdom

    Yaxin Bi

  2. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, West Yorkshire, United Kingdom

    Rahul Bhatia

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© 2018 Springer International Publishing AG

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Khalid, H., Hameed, M., Qamar, U. (2018). Evolutionary Testing Using Particle Swarm Optimization in IOT Applications. In: Bi, Y., Kapoor, S., Bhatia, R. (eds) Proceedings of SAI Intelligent Systems Conference (IntelliSys) 2016. IntelliSys 2016. Lecture Notes in Networks and Systems, vol 16. Springer, Cham. https://doi.org/10.1007/978-3-319-56991-8_26

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  • DOI: https://doi.org/10.1007/978-3-319-56991-8_26

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56990-1

  • Online ISBN: 978-3-319-56991-8

  • eBook Packages: EngineeringEngineering (R0)

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