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Surender Redhu

Postdoctoral Research Fellow

PostDoctoral Fellow, WISENET Center

 
Office:
A2-121 ( Jon Lilletuns vei 9, Grimstad )
Office hours:
2:00pm to 3:00pm or set by email

I have completed my PhD in the field of wireless sensor networks and internet of things from IIT KANPUR. My research focuses on developing the novel network management methods to improve various quality of services for WSN and IOT networks.

More info at: https://sites.google.com/view/surender

Research interests

Wireless Sensor Networks

Internet of Things

Vehicular Networks

UAVs in Wireless Networks

Energy Efficiency of WSNs

Energy Harvesting

Beamforming in 5G Networks

Courses and teaching

IKT 435 - Wireless Sensor Networks and Embedded Systems, Master course, Autumn 2020

IKT 724 - Deep Learning, PhD course, Autumn 2020

Work experience

TCS Research Fellow at WSN Lab IIT Kanpur from 2016-2020

Projects

AI Testbed Design for Wireless Networks

Selected publications

Journals

  1. S. Redhu, and RM Hegde, '' Joint Mobile Sink Scheduling and Buffer Overflow Management in Cooperative Wireless Sensor Networks using Q-Learning. '' Accepted to appear at IEEE Transaction on Network and Service Management, DOI: 10.1109 / TNSM.2020.3002828.
  2. Surender Redhu, Mayank Anupam, and Rajesh M. Hegde, “Optimal Relay Node Selection for Robust Data Forwarding over Time-Varying IoT Networks” IEEE Transactions on Vehicular Technology , vol. 68, no. 9, pp. 9178-9190, Sep. 2019.
  3. S. Redhu, and RM Hegde, '' Optimal Relay Node Selection in Time-varying IoT Networks using Network Contact Patterns. '' Accepted to appear at Elsevier Ad Hoc Networks, DOI: 98, (2020): 102065.
  4. S. Redhu, and RM Hegde, "Network lifetime improvement using landmark-assisted mobile sink scheduling for cyber-physical system applications." Elsevier Ad Hoc Networks 87 (2019): 37-48.

 

Conferences

  1. S. Redhu, R. Mahavar and R. M. Hegde, "Energy-efficient wake-up radio protocol using optimal sensor-selection for IoT," 2018 IEEE Wireless Communications and Networking Conference (WCNC), Barcelona, 2018, pp. 1-6.
  2. S. Redhu, P. Garg and R. M. Hegde, "Joint Mobile Sink Scheduling and Data Aggregation in Asynchronous Wireless Sensor Networks using Q-Learining", IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP 2018), Calgary, Alberta,Canada, Apr. 2018.
  3. S. Redhu, et al. "Joint Data Latency and Packet Loss Optimization for Relay-Node Selection in Time-Varying IoT Networks." Proceedings of the 24th Annual International Conference on Mobile Computing and Networking. (ACM MobiCom), 2018.
  4. S. Redhu, and R. M. Hegde, "Low complexity landmark-node tracing in WSNs using multi-agent random walks." Proceedings of the 20th Annual International Conference on Distributed Computing and Networking. (ACM ICDCN), 2019.
  5. S. Redhu, and R. M. Hegde, "Multi-Sensor Data Fusion for Clustered-based Data Aggregation for IoT Applications " (IEEE ANTS), 2019.
  6. S. Redhu and RM Hegde, “Energy-Efficient Landmark Tracing in WSNs Using Random Walks on Network Graphs,” in 2017 9th International Conference on Communication Systems and Networks (COMSNETS) , Jan 2017, pp. 399–400.

Scientific publications

Last changed: 28.08.2020 11:08