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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
55
Citations
13301
World Ranking
2151
National Ranking
105

Overview

Alagan Anpalagan is affiliated with Toronto Metropolitan University in Canada, focusing their research on engineering and computer science domains. Their scholarly work spans a broad range of topics primarily related to wireless communications, networking, and emerging technologies in these fields.

The primary fields of study for their research include:

  • Engineering
  • Computer Science

Within these fields, their subfields of focus are:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Aerospace Engineering
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

The main research topics they explore are:

  • Advanced Wireless Communication Technologies
  • IoT and Edge/Fog Computing
  • Advanced MIMO Systems Optimization
  • UAV Applications and Optimization
  • Energy Harvesting in Wireless Networks
  • Software-Defined Networks and 5G
  • Cooperative Communication and Network Coding

Alagan Anpalagan has contributed publications to various venues, frequently publishing in:

  • IEEE Internet of Things Journal
  • IEEE Access
  • IEEE Transactions on Vehicular Technology
  • Wireless Personal Communications
  • IEEE Transactions on Wireless Communications

Notable recent papers authored or coauthored include:

  • "Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues," 2021, Array
  • "Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions," 2020, IEEE Access
  • "Opportunistic UAV Utilization in Wireless Networks: Motivations, Applications, and Challenges," 2020, IEEE Communications Magazine
  • "A comprehensive survey on resource allocation for CRAN in 5G and beyond networks," 2020, Journal of Network and Computer Applications
  • "Three-Dimensional Multi-UAV Placement and Resource Allocation for Energy-Efficient IoT Communication," 2021, IEEE Internet of Things Journal

Frequent collaborators in their research include:

  • Ahmed Shaharyar Khwaja
  • Isaac Woungang
  • Muhammad Naeem
  • Muhammad Jaseemuddin
  • Waleed Ejaz

Best Publications

  • Efficient Energy Management for the Internet of Things in Smart Cities

    Waleed Ejaz;Muhammad Naeem;Adnan Shahid;Alagan Anpalagan

  • Deep learning for object detection and scene perception in self-driving cars: Survey, challenges, and open issues

    Abhishek Gupta;Alagan Anpalagan;Ling Guan;Ahmed Shaharyar Khwaja

  • Radio Resource Allocation Algorithms for the Downlink of Multiuser OFDM Communication Systems

    S. Sadr;A. Anpalagan;K. Raahemifar

  • Opportunistic Spectrum Access in Cognitive Radio Networks: Global Optimization Using Local Interaction Games

    Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan

  • Opportunistic Spectrum Access in Unknown Dynamic Environment: A Game-Theoretic Stochastic Learning Solution

    Yuhua Xu;Jinlong Wang;Qihui Wu;A. Anpalagan

  • Optimization classification, algorithms and tools for renewable energy: A review

    M. Iqbal;M. Azam;M. Naeem;M. Naeem;A.S. Khwaja

  • A compendium of optimization objectives, constraints, tools and algorithms for energy management in microgrids

    Aftab Ahmad Khan;Muhammad Naeem;Muhammad Naeem;Muhammad Iqbal;Saad Qaisar

  • Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions

    Yuhua Xu;Alagan Anpalagan;Qihui Wu;Liang Shen

  • Anti-Jamming Communications Using Spectrum Waterfall: A Deep Reinforcement Learning Approach

    Xin Liu;Yuhua Xu;Luliang Jia;Qihui Wu

  • Appliance Scheduling Optimization in Smart Home Networks

    F. A. Qayyum;M. Naeem;A. S. Khwaja;A. Anpalagan

  • Internet of Things (IoT) in 5G Wireless Communications

    Waleed Ejaz;Alagan Anpalagan;Muhammad Ali Imran;Minho Jo

  • Improved short-term load forecasting using bagged neural networks

    A.S. Khwaja;M. Naeem;A. Anpalagan;A. Venetsanopoulos

  • Industrial Internet of Things Driven by SDN Platform for Smart Grid Resiliency

    Saba Al-Rubaye;Ekhlas Kadhum;Qiang Ni;Alagan Anpalagan

  • Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions

    Shree Krishna Sharma;Isaac Woungang;Alagan Anpalagan;Symeon Chatzinotas

  • Resource Allocation Techniques in Cooperative Cognitive Radio Networks

    Muhammad Naeem;Alagan Anpalagan;Muhammad Jaseemuddin;Daniel C. Lee

  • Wireless Sensor Network Optimization: Multi-Objective Paradigm.

    Muhammad Iqbal;Muhammad Naeem;Muhammad Naeem;Alagan Anpalagan;Ashfaq Ahmed

  • Network Challenges for Cyber Physical Systems with Tiny Wireless Devices: A Case Study on Reliable Pipeline Condition Monitoring

    Salman Ali;Saad Bin Qaisar;Husnain Saeed;Muhammad Farhan Khan

  • Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting

    A.S. Khwaja;A. Anpalagan;M. Naeem;B. Venkatesh

  • Boosted neural networks for improved short-term electric load forecasting

    A.S. Khwaja;X. Zhang;A. Anpalagan;B. Venkatesh

  • Stackelberg Game Approaches for Anti-Jamming Defence in Wireless Networks

    Luliang Jia;Yuhua Xu;Youming Sun;Shuo Feng

  • Advanced spectrum sharing in 5G cognitive heterogeneous networks

    Chungang Yang;Jiandong Li;Mohsen Guizani;Alagan Anpalagan

Frequent Co-Authors

Waleed Ejaz
Waleed Ejaz Lakehead University
Qihui Wu
Qihui Wu Nanjing University of Aeronautics and Astronautics
Jiandong Li
Jiandong Li Xidian University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Lian Zhao
Lian Zhao Toronto Metropolitan University
Ekram Hossain
Ekram Hossain University of Manitoba
Mohammad S. Obaidat
Mohammad S. Obaidat University of Jordan
Qiang Ni
Qiang Ni Lancaster University
Mehdi Bennis
Mehdi Bennis University of Oulu
Lei Guo
Lei Guo Beijing University of Posts and Telecommunications

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