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Innovative DMHS Algorithm Application in Wireless Sensor Networks for Efficient Routing in High-Risk Environments.

Yuanjia Ma1, Xiangwu Deng1

  • 1School of Electronic Information Engineering, Guangdong University of Petrochemical Technology, Maoming 525011, China.

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This study introduces a Dynamic Minimum Hop Selection (DMHS) algorithm for wireless sensor networks (WSNs). DMHS enhances network life cycle and delivery rates in unstable environments.

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Area of Science:

  • Computer Science
  • Network Engineering
  • Wireless Communication

Background:

  • Wireless Sensor Networks (WSNs) require efficient routing for optimal function.
  • Existing routing protocols often overlook volatile environments with inconsistent connectivity.
  • Dynamic factors like node mobility, failure, and security threats impact WSN topology.

Purpose of the Study:

  • To develop a novel routing algorithm for WSNs operating in high-risk, unstable environments.
  • To address the limitations of traditional routing protocols in dynamic network conditions.
  • To improve network robustness, energy efficiency, and data delivery rates.

Main Methods:

  • Introduced a novel algorithm: Dynamic Minimum Hop Selection (DMHS).
  • Employed a probabilistic forwarding decision-making process.
  • Utilized a distributed route discovery strategy with dynamically adjusted minimum hop counts.

Main Results:

  • DMHS increased the network life cycle by over 12% for more than 700 nodes compared to traditional energy-saving algorithms.
  • Achieved a 10% to 21% improvement in average node delivery rate over other algorithms.
  • Demonstrated superior performance in maintaining connectivity and data transmission in dynamic scenarios.

Conclusions:

  • The DMHS algorithm significantly enhances WSN performance in volatile and high-risk environments.
  • DMHS offers a robust solution for maintaining network stability and efficiency.
  • This contributes to the development of more resilient WSNs for critical applications.