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Optimization of the operational state's routing for mobile wireless sensor networks

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Abstract

High levels of node power in Mobile Wireless Sensor Networks (MWSN) can have an effect on the reliability of a number of different aspects of the service. Due to their inherently low energy efficiency, sensor nodes lose power with every bit of data they transmit. In order to accomplish any data transfer, however, the nodes must engage in cooperative communication. To aid optimal routing in mobile wireless sensor networks, researchers have developed a new method inspired by the work of bee colony optimizers. To enhance service in a mobile wireless sensor network, we present a cluster energy hop-based dynamic route selection (CEH-DRS) that takes into account individual production zones. In this case, sensor nodes can collect data and send it out to the network. They also help with the routing of data packets coming from various origin nodes. Finally, this study optimizes the system's route while still meeting the criterion of selecting the shortest way. This technique improves cluster selection by taking into account the state of affairs in the area and other characteristics (such as throughput, delay and packet delivery ratio). It is also discovered that the soft computing approaches accurately detect and select the best path, whereas the conventional methods cannot. The proposed CEH-DRS method improved network performance in a better way to achieve higher throughput than all approaches like optimized route cache protocol-ad hoc on-demand distance vector, fuzzy and bee colony optimization, selectively turning ON/OFF the sensors, hidden Markov model.

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Acknowledgements

The authors wish to thank King Abdulaziz City for Science and Technology (KACST) for its support partially in this research

Funding

Authors did not receive any funding.

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Authors and Affiliations

  1. National Center for Cybersecurity Technologies (C4C), King Abdulaziz City for Science and Technology (KACST), Riyadh, 11442, Saudi Arabia

    Khalid K. Almuzaini

  2. Department of Computer Engineering, SVKM’S NMIMS MPSTME, Shirpur Campus, Mumbai, Maharashtra, 425405, India

    Shubham Joshi

  3. Electrical and Computer Engineering, College of Engineering, Springdale, 316 Boulevard, Anderson, SC, 29621, USA

    Stephen Ojo

  4. Department of Information Technology, ABES Engineering College, Uttar Pradesh, Ghaziabad, India

    Mansi Aggarwal

  5. School of Computing Science and Engineering, VIT Bhopal University, Bhopal-Indore Highway Kothrikalan, Sehore, Madhya Pradesh, 466114, India

    Preetam Suman

  6. Department of Computer Science & Engineering, Nitte Meenakshi Institute of Technology, Bengaluru, Karnataka, India

    Piyush Kumar Pareek

  7. Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, Guntur, Andhra Pradesh, 522302, India

    Prashant Kumar Shukla

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  1. Khalid K. Almuzaini
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All author is contributing a responsible for designing the framework, analyzing the performance, validating the results, and writing the article.

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Correspondence to Khalid K. Almuzaini or Prashant Kumar Shukla.

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Almuzaini, K.K., Joshi, S., Ojo, S. et al. Optimization of the operational state's routing for mobile wireless sensor networks. Wireless Netw 30, 5247–5261 (2024). https://doi.org/10.1007/s11276-023-03246-3

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  • DOI: https://doi.org/10.1007/s11276-023-03246-3

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