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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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Optimization of Submodularity and BBO-Based Routing Protocol for Wireless Sensor Deployment.

Yaoli Wang1, Yujun Duan1, Wenxia Di2

  • 1College of Information and Computer, Taiyuan University of Technology, Jinzhong 030600, China.

Sensors (Basel, Switzerland)
|March 4, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces novel algorithms for efficient wireless sensor deployment and data routing, significantly reducing communication costs and extending sensor network lifespan. The proposed methods optimize sensor placement and network topology for better performance.

Keywords:
ant colony algorithmbiogeography-based optimizationrouting protocolsubmodularitywireless sensor deployment

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Area of Science:

  • Computer Science
  • Electrical Engineering
  • Network Optimization

Background:

  • Large-scale wireless sensor deployments face challenges in node costs, communication efficiency, and energy consumption.
  • Submodular optimization offers a potential solution for reducing deployment costs in sensor networks.

Purpose of the Study:

  • To propose an optimized sensor deployment method using the Improved Heuristic Ant Colony Algorithm-Chaos Optimization of Padded Sensor Placements at Informative and cost-Effective Locations (IHACA-COpSPIEL).
  • To develop an improved Biogeography-Based Optimization (BBO) routing protocol for enhanced data transmission and network longevity.

Main Methods:

  • Established a mathematical model incorporating submodularity for sensor deployment optimization.
  • Combined the IHACA algorithm with chaos optimization (pSPIEL) to determine optimal sensor placement and shortest paths.
  • Utilized improved BBO for routing protocols to manage data transmission from selected sensors.

Main Results:

  • The IHACA-COpSPIEL algorithm demonstrated superior performance, avoiding local optima.
  • Achieved significant reductions in communication costs: 38.42% lower than greedy, 24.19% lower than pSPIEL, and 8.31% lower than IHACA.
  • The improved BBO routing protocol extended network life cycle by 30.74% compared to LEACH, with lower energy consumption.

Conclusions:

  • The proposed IHACA-COpSPIEL algorithm and improved BBO routing protocol effectively reduce deployment costs and enhance sensor network efficiency.
  • These methods lead to reduced sensor usage, longer operational lifecycles, and improved energy efficiency in wireless sensor networks.