Sai Krishna Mothku

About

Sai Krishna Mothku received the B.Tech degree in Computer Science and Engineering in 2009 from Kakatiya Institute of Technology and Science (KITS), Warangal, Telangana, India, and the M.Tech degree in Computer Science and Engineering -Information Security in 2012 from the National Institute of Technology Karnataka, Surathkal, India. He received his Ph.D. from the National Institute of Technology Warangal, Telangana, India, in 2019.

He served as an Assistant Professor in the Department of Computer Science and Engineering at the National Institute of Technology, Tiruchirappalli, India, from May 18, 2020, to December 4, 2025. He joined the Department of Computer Science and Engineering at the National Institute of Technology, Warangal, as an Assistant Professor on December 5, 2025.

His primary research interests include wireless ad hoc networks, wireless sensor networks, the Internet of Things, and cloud, fog, and edge computing

Employment

• National Institute of Technology Warangal Assistant Professor Grade-I
  2025 - Present
• National Institute of Technology Tiruchirappalli Assistant Professor
  2020 - 2025

Education

• National Institute of Technology Warangal PhD
  2013 - 2019
• National Institute of Technology Karnataka M.Tech
  2010 - 2012
• Kakatiya Institute of Technology and Science Btech
  2005 - 2009

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Energy-Efficient and load-Balanced task offloading in cooperative multi-UAV-Assisted IoT networks
  Vehicular Communications 2026 DOI: 10.1016/j.vehcom.2026.101027
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• 3-D AAV Deployment for Maximizing Harvested Energy in WRSNs: A Soft Actor-Critic Approach
  IEEE Internet of Things Journal 2025 DOI: 10.1109/JIOT.2024.3520604
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• DMITS: Dependency and Mobility-Aware Intelligent Task Scheduling in Socially-Enabled VFC Based on Federated DRL Approach
  IEEE Transactions on Intelligent Transportation Systems 2024 DOI: 10.1109/TITS.2024.3432177
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• Delay and energy aware task scheduling mechanism for fog-enabled IoT applications: A reinforcement learning approach
  Computer Networks 2023 DOI: 10.1016/j.comnet.2023.109603
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• Cooperative Service Placement and Request Routing in Mobile Edge Networks for Latency-Sensitive Applications
  IEEE Systems Journal 2023 DOI: 10.1109/JSYST.2023.3260028
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• MITS: Mobility-aware Intelligent Task Scheduling in Vehicular Fog Networks
  IEEE Transactions on Vehicular Technology 2023 DOI: 10.1109/tvt.2023.3321806
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• Deep reinforcement learning mechanism for deadline-aware cache placement in device-to-device mobile edge networks
  Wireless Networks 2022 DOI: 10.1007/s11276-022-03135-1
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• Deadline-Aware Cache Placement Scheme Using Fuzzy Reinforcement Learning in Device-to-Device Mobile Edge Networks
  Mobile Networks and Applications 2022 DOI: 10.1007/s11036-022-02010-9
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• Markov decision process and network coding for reliable data transmission in wireless sensor and actor networks
  Pervasive and Mobile Computing 2019 DOI: 10.1016/j.pmcj.2019.03.003
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• Adaptive Fuzzy-Based Energy and Delay-Aware Routing Protocol for a Heterogeneous Sensor Network
  Journal of Computer Networks and Communications 2019 DOI: 10.1155/2019/3237623
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