A Multi-Objective Evolutionary Algorithm for Wireless Sensor Networks Node Deployment-Reference-Cited by-同舟云学术

A Multi-Objective Evolutionary Algorithm for Wireless Sensor Networks Node Deployment

Published:2022-12-09 Issue: Volume: Page:
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Container-title:2022 IEEE 8th International Conference on Computer and Communications (ICCC)
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Author:

Peng Funan¹,Lv Li¹,Chen Weiru²,Wang Jun¹

Affiliation:

1. Shenyang Institute of Computing Technology, Chinese Academy of Sciences,Shenyang,China,110168

2. College of Computer Science and Technology, Shenyang University of Chemical Technology,Shenyang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10065600/10065601/10065814.pdf?arnumber=10065814

Reference25 articles.

1. Biogeography-based optimization scheme for solving the coverage and connected node placement problem for wireless sensor networks

2. Method for Optimal Sensor Deployment on 3D Terrains Utilizing a Steady State Genetic Algorithm with a Guided Walk Mutation Operator Based on the Wavelet Transform

3. Improved Many-Objective Optimization Algorithms for the 3D Indoor Deployment Problem

4. A novel knowledge-guided evolutionary scheduling strategy for energy-efficient connected coverage optimization in WSNs

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