A genetic algorithm-based approach for solving the target <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" display="inline" id="d1e608" altimg="si254.svg"><mml:mi>Q</mml:mi></mml:math>-coverage problem in over and under provisioned directional sensor networks-Reference-Cited by-同舟云学术

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A genetic algorithm-based approach for solving the target Q-coverage problem in over and under provisioned directional sensor networks

Published:2022-10 Issue: Volume:54 Page:101719
ISSN:1874-4907
Container-title:Physical Communication
language:en
Short-container-title:Physical Communication

Author:

Mottaki Nemat allah,Motameni Homayun,Mohamadi Hosein

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering

Reference34 articles.

1. Wireless sensor network survey;Yick;Comput. Netw.,2008

2. Waas (wireless-as-a-sensor): Conception, design and implementation on mobile platforms;Lautner,2018

3. The Internet of Things: A survey;Atzori;Comput. Netw.,2010

4. On coverage problems of directional sensor networks;Ma,2005

5. M.A. Guvensan, A.G. Yavuz, On coverage issues in directional sensor networks: A survey, 9 (7) (2011) 1238–1255.

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3. Maximal Weighted Coverage Deployment of UAV-Enabled Rechargeable Visual Sensor Networks;IEEE Transactions on Intelligent Transportation Systems;2023-10

4. An Improved Genetic Algorithm for Bi-Level Multi-Objective Q-Coverage in Directional Sensor Networks;2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt);2023-08-24

5. A new hybrid algorithm integrating genetic algorithm with Tabu search to solve imbalanced k‐coverage problem in directional sensor networks;IET Communications;2023-05-30

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