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Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
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An Effective Algorithm to Find a Cost Minimizing Gateway Deployment for Node-Replaceable Wireless Sensor Networks.

Sun-Ho Choi1, Yoonkyung Jang2, Hyowon Seo1

  • 1Department of Applied Mathematics and the Institute of Natural Sciences, Kyung Hee University, Yongin 17104, Korea.

Sensors (Basel, Switzerland)
|April 3, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces an efficient algorithm for optimal gateway deployment in sensor networks, minimizing costs. The method offers linear scalability and superior speed and accuracy for large networks compared to other approaches.

Keywords:
divide and conquerinternet of things (IoT)optimal gateway deploymentwireless sensor networks (WSNs)

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Area of Science:

  • Computer Science
  • Network Engineering
  • Optimization Algorithms

Background:

  • Sensor networks require efficient gateway deployment for optimal performance and cost-effectiveness.
  • Existing methods for gateway placement can be computationally intensive, especially for large-scale networks.
  • The need for cost-efficient and scalable solutions for managing sensor network infrastructure is critical.

Purpose of the Study:

  • To develop an efficient algorithm for determining optimal gateway deployment in sensor networks.
  • To minimize the total cost per unit time, encompassing maintenance and installation expenses.
  • To provide a scalable and accurate solution for gateway placement in large sensor networks.

Main Methods:

  • A novel algorithm is proposed for gateway deployment optimization.
  • The algorithm utilizes a cost reference and a divide and conquer approach.
  • The method's computational complexity scales linearly with the number of nodes, unlike exponential complexity of exhaustive comparison.

Main Results:

  • The proposed algorithm achieves linear time complexity, making it suitable for large-scale sensor networks.
  • Numerical experiments demonstrate the methodology's effectiveness and efficiency.
  • The algorithm outperforms stochastic methods like genetic algorithms in terms of computational speed and accuracy for numerous nodes.

Conclusions:

  • The presented algorithm provides an efficient and scalable solution for gateway deployment in sensor networks.
  • This approach offers significant advantages in computational speed and accuracy over existing methods, particularly for large networks.
  • The findings are validated through comprehensive numerical experiments, confirming the methodology's practical applicability.