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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Published on: September 8, 2023

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Energy-Efficient and Secure Opportunistic Routing Protocol for WSN: Performance Analysis with Nature-Inspired

Deep Kumar Bangotra1,2, Yashwant Singh2, Nagesh Kumar3

  • 1Department of Higher Education, J&K Govt., India.

Biomed Research International
|April 4, 2022
PubMed
Summary
This summary is machine-generated.

This study compares routing protocols for wireless sensor networks (WSNs). The trust-based secure intelligent opportunistic routing protocol (TBSIOP) significantly improves energy efficiency and network lifetime, even with many malicious nodes.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Cybersecurity

Background:

  • Wireless Sensor Networks (WSNs) face challenges with limited resources and data security.
  • Nature-inspired optimization (NIO) algorithms are used to enhance WSN energy efficiency and security.
  • Existing NIO algorithms like ACO and PSO have limitations in performance.

Purpose of the Study:

  • To compare the performance of two opportunistic routing protocols, IOP and TBSIOP, against NIO algorithms.
  • To evaluate energy efficiency, network lifetime, packet delivery ratio, and security against malicious nodes.
  • To assess the impact of network size on protocol performance.

Main Methods:

  • Simulation of Intelligent Opportunistic Routing Protocol (IOP) and Trust-Based Secure Intelligent Opportunistic Routing Protocol (TBSIOP) on MATLAB.
  • Comparison with existing Ant Colony Optimization (ACO)-based and Particle Swarm Optimization (PSO)-based routing algorithms.
  • Performance evaluation under varying network sizes (25, 50, 100 nodes) and up to 50% malicious nodes.

Main Results:

  • TBSIOP demonstrated superior performance in energy efficiency, network lifetime, packet delivery ratio, and reduced end-to-end delay.
  • TBSIOP effectively avoided malicious nodes, enhancing network longevity.
  • Packet delivery ratio approached 100% for TBSIOP as network size increased.

Conclusions:

  • TBSIOP offers significant advantages over NIO-based algorithms for WSNs, particularly in challenging environments with malicious nodes.
  • The protocol's efficiency and security make it suitable for critical applications like smart healthcare.
  • Improved energy efficiency and network lifetime facilitate reliable data communication in WSNs.