Dr.Rupendra Pratap
Singh Hada

I work on wireless sensor networks that have to function without GPS, without mains power, and without much compute — and on the scheduling and learning systems that make constrained hardware useful.

My doctoral research addressed GPS-free localisation and energy-efficient routing in wireless sensor networks using machine learning and metaheuristic optimisation, with edge computing and IoT security as allied threads. Current work extends this to three-dimensional indoor localisation, metaheuristic optimisers, and federated learning across small edge clusters.

• Edge

  Edge AI & embedded systems

  Intelligent task scheduling for asymmetric multicore edge processors in Linux, reducing execution time by up to 16% for high-priority workloads.

  Linux kernelEdge AIMulticore

• WSN

  GPS-free localisation

  Hybrid machine learning and multilateration techniques for node localisation in remote, resource-constrained sensor deployments.

  LocalisationRandom forestRSSI

• Sensing

  Sustainable sensor systems

  Collaborative research with the Western Norway Research Institute on real-time environmental monitoring and sustainable IoT deployments.

  Environmental IoTWestern Norway

• 2025
  ACM TOSN

  A Hybrid Approach for Localisation of Sensor Nodes in Remote Locations

  ACM Transactions on Sensor Networks

• 2024
  ACM TECS

  Dynamic Cluster Head Selection in Wireless Sensor Networks

  ACM Transactions on Embedded Computing Systems

• 2023
  IEEE ICAC3N

  Priority Aware Task Scheduling Algorithm for Asymmetric Multi-Core Edge Processors

  IEEE International Conference on Advances in Computing, Communication Control and Networking

All publications →