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Proceedings of Sixth International Conference on Soft Computing for Problem Solving pp 286–295Cite as

User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 546))

Abstract

Detecting users in an indoor environment based on Wi-Fi signal strength has a wide domain of applications. This can be used for objectives like locating users in smart home systems, locating criminals in bounded regions, obtaining the count of users on an access point etc. The paper develops an optimized model that could be deployed in monitoring and tracking devices used for locating users based on the Wi-Fi signal strength they receive in their personal devices. Here, we procure data of signal strengths from various routers, map them to the user’s location and consider this mapping as a classification problem. We train a neural network using the weights obtained by the proposed fuzzy hybrid of Particle Swarm Optimization & Gravitational Search Algorithm (FPSOGSA), an optimization strategy that results in better accuracy of the model.

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Author information

Authors and Affiliations

  1. VIT Univerity, Vellore, 632014, India

    Jayant G. Rohra, Boominathan Perumal, Swathi Jamjala Narayanan & Priya Thakur

  2. Robert Bosch Research Labs, Pittsburgh, USA

    Rajen B. Bhatt

Authors
  1. Jayant G. Rohra
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  2. Boominathan Perumal
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  3. Swathi Jamjala Narayanan
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  4. Priya Thakur
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  5. Rajen B. Bhatt
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Corresponding author

Correspondence to Boominathan Perumal .

Editor information

Editors and Affiliations

  1. Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India

    Kusum Deep

  2. Department of Mathematics, South Asian University, New Delhi, India

    Jagdish Chand Bansal

  3. Department of Mathematics, National Institute of Technology, Silchar, Silchar, Assam, India

    Kedar Nath Das

  4. School of Mathematics, Thapar Institute of Engineering and Technology University, Patiala, Punjab, India

    Arvind Kumar Lal

  5. School of Mathematics, Thapar University Patiala, Patiala, Punjab, India

    Harish Garg

  6. Department of Mathematics and Computer Science, Liverpool Hope University, Liverpool, United Kingdom

    Atulya K. Nagar

  7. Department of Applied Science and Engineering, Indian Institute of Technology Roorkee, Roorkee, India

    Millie Pant

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© 2017 Springer Nature Singapore Pte Ltd.

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Rohra, J.G., Perumal, B., Narayanan, S.J., Thakur, P., Bhatt, R.B. (2017). User Localization in an Indoor Environment Using Fuzzy Hybrid of Particle Swarm Optimization & Gravitational Search Algorithm with Neural Networks. In: Deep, K., et al. Proceedings of Sixth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 546. Springer, Singapore. https://doi.org/10.1007/978-981-10-3322-3_27

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  • DOI: https://doi.org/10.1007/978-981-10-3322-3_27

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3321-6

  • Online ISBN: 978-981-10-3322-3

  • eBook Packages: EngineeringEngineering (R0)

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