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A Novel Hybrid Optimization for Cluster‐Based Routing Protocol in Information-Centric Wireless Sensor Networks for IoT Based Mobile Edge Computing

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Abstract

In present days, the utilization of mobile edge computing (MEC) and Internet of Things (IoT) in mobile networks offers a bottleneck in the evolving technological requirements. Wireless Sensors Network (WSN) become an important component of the IoT and is the major source of big data. In IoT enabled WSN, a massive amount of data collection generated from a resource-limited network is a tedious process, posing several challenging issues. Traditional networking protocols offer unfeasible mechanisms for large-scaled networks and might be applied to IoT platform without any modifications. Information-Centric Networking (ICN) is a revolutionary archetype which that can resolve those big data gathering challenges. Employing the ICN architecture for resource-limited WSN enabled IoT networks may additionally enhance the data access mechanism, reliability challenges in case of a mobility event, and maximum delay under multihop communication. In this view, this paper proposes an IoT enabled cluster based routing (CBR) protocol for information centric wireless sensor networks (ICWSN), named CBR-ICWSN. The proposed model undergoes a black widow optimization (BWO) based clustering technique to select the optimal set of cluster heads (CHs) effectively. Besides, the CBR-ICWSN technique involves an oppositional artificial bee colony (OABC) based routing process for optimal selection of paths. A series of simulations take place to verify the performance of the CBR-ICWSN technique and the results are examined under several aspects. The experimental outcome of the CBR-ICWSN technique has outperformed the compared methods interms of network lifetime and energy efficiency.

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Acknowledgements

Dr. K. Shankar would like to thank RUSA PHASE 2.0, Dept. of Edn. Govt. of India. The work of K. Shankar was supported by RUSA–Phase 2.0 grant sanctioned vide Letter No. F. 24–51/2014-U, Policy (TNMulti-Gen), Dept. of Edn. Govt. of India, Dt. 09.10.2018.

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Authors and Affiliations

  1. College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Kingdom of Saudi Arabia

    Thavavel Vaiyapuri

  2. Department of Electronics and Communication Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, India

    Velmurugan Subbiah Parvathy

  3. Research Center, Lebanese French University, 44001, Erbil, Iraq

    V. Manikandan

  4. School of Computing, SRM Institute of Science and Technology, Kattankulathur, Tamilnadu, 603203, India

    N. Krishnaraj

  5. Department of Computer Science and Engineering, Maharaja Agrasen Institute of Technology, Delhi, India

    Deepak Gupta

  6. Department of Computer Applications, Alagappa University, Karaikudi, India

    K. Shankar

Authors
  1. Thavavel Vaiyapuri
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  2. Velmurugan Subbiah Parvathy
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  3. V. Manikandan
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  4. N. Krishnaraj
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  5. Deepak Gupta
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  6. K. Shankar
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Correspondence to K. Shankar.

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Vaiyapuri, T., Parvathy, V.S., Manikandan, V. et al. A Novel Hybrid Optimization for Cluster‐Based Routing Protocol in Information-Centric Wireless Sensor Networks for IoT Based Mobile Edge Computing. Wireless Pers Commun 127, 39–62 (2022). https://doi.org/10.1007/s11277-021-08088-w

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