IEEE ANTS 2025
TARA: Topology-Aware Rank Allocation for Load Balancing in Autonomous Scheduling of 6TiSCH-based IoT Networks
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
This research is led by Raziur Rahman, 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.
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