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Collaborative Deployment Strategy for Efficient Connectivity in the Internet of Things

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Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1405))

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Abstract

Real-time communication is one of the crucial requirements for effective operation in the Internet of Things environment. It needs efficient connectivity and reachability among the nodes deployed in the network. Moreover, the kind of deployment depends on different types of applications and different regions of interest. However, the deployment technique must address the challenges associated with coverage, scalability and reliability. Also, the different applications need different strategies of deployment in the Internet of Things environment. Furthermore, these challenges affect the efficient operation, especially when a significant amount of heterogeneity is observed among the devices and the communication mechanism. Thus, the Internet of things environment needs a selective deployment strategy that provides efficient coverage in the network, irrespective of the regions of interest. In this context, this paper discusses the collaborative deployment strategy using both the random-based and quasi-random-based techniques for efficient connectivity among the devices for the clustered Internet of Things environment. The proposed algorithm is implemented and evaluated on the IoT-based platform to show its efficacy.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, The LNM Institute of Information Technology, Jaipur, 302031, Rajasthan, India

    Ritik Bansal, Utkarsh Khandelwal & Saurabh Kumar

Authors
  1. Ritik Bansal
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  2. Utkarsh Khandelwal
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  3. Saurabh Kumar
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Corresponding author

Correspondence to Saurabh Kumar .

Editor information

Editors and Affiliations

  1. Department of Mathematics, School of Technology, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

    Manoj Sahni

  2. School of Information, Systems and Modelling, University of Technology Sydney, Broadway, NSW, Australia

    José M. Merigó

  3. Department of Mathematics, Pandit Deendayal Energy University, Gandhinagar, Gujarat, India

    Ritu Sahni

  4. Department of Management Control and Info System, University of Chile, Santiago, Chile

    Rajkumar Verma

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Bansal, R., Khandelwal, U., Kumar, S. (2022). Collaborative Deployment Strategy for Efficient Connectivity in the Internet of Things. In: Sahni, M., Merigó, J.M., Sahni, R., Verma, R. (eds) Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy. Advances in Intelligent Systems and Computing, vol 1405. Springer, Singapore. https://doi.org/10.1007/978-981-16-5952-2_34

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