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Mobile Wireless Sensor Networks (MWSN) have gathered significant attention due to their diverse applications across military, industrial infrastructure, automation, health, traffic, and various consumer domains. The primary challenges in MWSN encompass energy consumption, connectivity, scalability, and security. Introducing mobility further amplifies the complexity, necessitating the identification of efficient routing protocols to enhance the overall performance of MWSNs. In this research, Improved Whale Optimization Algorithm (IWOA) is proposed for obtaining the energy efficient secure routing in MWSN. The consumption of energy in WSN is achieved by the optimal routing method by utilizing the optimization algorithm. The optimization-based routing approach is developed for designing the optimal transmission path by Cluster Head to destination. The performance of proposed method achieves better results by utilizing the performance metrices of First Node Dead (FND) of 2070, Half Node Dead (HND) of 14,568 and Last Node Dead (LND) of 19,894 when compared to the existing methods.

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Improved Whale Optimization Algorithm Based Energy Efficient Secure Routing in Mobile Wireless Sensor Networks

  • 会议论文

  • 发表日期：

    2025年

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  • M. Naga Raju,
  • G. Sunil,
  • Zainab Abed Almoussawi,
  • P. Ravi Kiran Varma,
  • Subhra Chakraborty

摘要

Mobile Wireless Sensor Networks (MWSN) have gathered significant attention due to their diverse applications across military, industrial infrastructure, automation, health, traffic, and various consumer domains. The primary challenges in MWSN encompass energy consumption, connectivity, scalability, and security. Introducing mobility further amplifies the complexity, necessitating the identification of efficient routing protocols to enhance the overall performance of MWSNs. In this research, Improved Whale Optimization Algorithm (IWOA) is proposed for obtaining the energy efficient secure routing in MWSN. The consumption of energy in WSN is achieved by the optimal routing method by utilizing the optimization algorithm. The optimization-based routing approach is developed for designing the optimal transmission path by Cluster Head to destination. The performance of proposed method achieves better results by utilizing the performance metrices of First Node Dead (FND) of 2070, Half Node Dead (HND) of 14,568 and Last Node Dead (LND) of 19,894 when compared to the existing methods.