Enhanced Border Surveillance Through a Hybrid Swarm Optimization Algorithm-Reference-Cited by-同舟云学术

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Enhanced Border Surveillance Through a Hybrid Swarm Optimization Algorithm

Published:2023-11-15 Issue:22 Volume:23 Page:28172-28181
ISSN:1530-437X
Container-title:IEEE Sensors Journal
language:
Short-container-title:IEEE Sensors J.

Author:

Tariq Mahnoor¹,Saadat Ahsan¹,Ahmad Rizwan¹^ORCID,Abaid Zainab²,Rodrigues Joel J. P. C.³^ORCID

Affiliation:

1. School of Electrical Engineering and Computer Science (SEECS), National University of Sciences and Technology (NUST), Islamabad, Pakistan

2. Department of Cyber Security, National University of Computer and Emerging Sciences (NUCES-FAST), Islamabad, Pakistan

3. COPELABS, Lusófona University, Lisbon, Portugal

Funder

HEC NRPU

Brazilian National Council for Scientific and Technological Development-CNPq, via

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7361/10316685/10264824.pdf?arnumber=10264824

Reference21 articles.

1. Multi-UAV Placement Strategy for Disaster-Resilient Communication Network

2. Asymptotically Optimal Path Planning for Ground Surveillance by a Team of UAVs

3. Genetic Algorithm enabled Particle Swarm Optimization for Aerial Base Station Deployment

4. Efficient UAV Placement Strategy for Guaranteed QoS Demand

5. Optimal UAVs placement for localization based on artificial hummingbird algorithm

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. State-of-the-Art and Future Research Challenges in UAV Swarms;IEEE Internet of Things Journal;2024-06-01

2. The Role of Machine Learning in UAV-Assisted Communication;Advances in Computational Intelligence and Robotics;2024-01-17

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