IEEE ANTS 2025

TARA: Topology-Aware Rank Allocation for Load Balancing in Autonomous Scheduling of 6TiSCH-based IoT Networks

Raziur Rahman • Nikumani Choudhury • Wei Xiang

6TiSCH TSCH Scheduling IoT Autonomous Scheduling Load Balancing

Overview

TARA is a topology-aware scheduling framework for 6TiSCH-based IoT networks designed to improve communication efficiency and load balancing in multi-hop wireless environments.

The framework adaptively allocates communication resources according to network topology and forwarding demand, improving reliability, responsiveness, and energy efficiency.

Key Highlights

  • Topology-aware resource allocation
  • Autonomous scheduling support
  • Load balancing in multi-hop IoT networks
  • Energy-efficient communication
  • Improved scheduling reliability

Lead Author

Portrait of Raziur Rahman, joint PhD researcher in 6TiSCH and IoT

This research is led by , a joint PhD researcher at BITS Pilani, Hyderabad Campus, and La Trobe University working on adaptive scheduling and resource allocation in 6TiSCH-based IoT networks.

Google Scholar  •  ORCID  •  La Trobe Research Profile

Publication

TARA: Topology-Aware Rank Allocation for Load Balancing in Autonomous Scheduling of 6TiSCH-based IoT Networks

Raziur Rahman, Nikumani Choudhury, Wei Xiang

IEEE ANTS 2025, New Delhi, India

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