Eight peer-reviewed papers. The six first-author papers are grouped by the
four questions they answer, and each has a project page with the method,
results and figures. Two co-authored papers follow at the end.
Adaptive slotframe control
A slotframe fixed at deployment wastes energy when traffic is low and adds
latency when it spikes. These papers let the frame length follow demand.
2025
FlexiFrame: Adaptive Slotframe Scheduling for 6TiSCH-Based Smart City IoT Networks
Raziur Rahman, Nikumani Choudhury, Wei Xiang, Tamoghna Ojha
IEEE GLOBECOM Workshops 2025, Taipei, Taiwan
Adaptive slotframe scheduling that adjusts the slotframe size to the
traffic load, improving energy efficiency, latency and scheduling
responsiveness in 6TiSCH IoT networks.
Project overview
IEEE Xplore
2026
ASCP: An Analytical Model and Control Policy for Slotframe Adaptation in 6TiSCH IoT Networks
Raziur Rahman, Nikumani Choudhury, Wei Xiang, Anakhi Hazarika
IEEE ICC 2026, Glasgow, United Kingdom
An analytical model and adaptive control policy for slotframe adaptation,
giving predictable latency and efficient resource use under dynamic
traffic.
Project overview
IEEE Xplore
Topology-aware resource allocation
Nodes near the root forward everyone else's traffic. Allocating cells by
position in the routing tree balances load and prevents congestion.
2025
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
Topology-aware scheduling that allocates resources by node position and
traffic conditions, improving reliability, load balancing and congestion
management in multi-hop IoT networks.
Project overview
IEEE Xplore
Mobility-aware scheduling
When nodes move, schedules go stale and reconfiguration itself becomes a
cost. These papers predict link lifetime and bound how often the schedule is
rebuilt.
2026
PMAS: Predictive Mobility-Aware Scheduling for 6TiSCH IoT Networks
Raziur Rahman, Shambhavi Rani, Nikumani Choudhury, Wei Xiang
IEEE GLOBECOM 2026, Macau S.A.R., China. Accepted, to appear.
A lightweight predictive framework that estimates the residual lifetime of
mobile links and feeds it into parent selection and lifetime-aware TSCH
cell allocation.
Project overview
Conference site
2026
MARC-6TiSCH: Churn-Bounded Rescheduling Control for Sustainable Mobile 6TiSCH Networks
Raziur Rahman, Nikumani Choudhury, Wei Xiang
IEEE ANTS 2026. Accepted, to appear.
A churn-bounded rescheduling controller that regulates 6P reconfiguration,
manages stale cells, and improves reliability and latency under mobility
while cutting control and radio overhead.
Project overview
Conference site
Deadline-aware scheduling
Some traffic has to arrive before a deadline, not just eventually. Extra cells
only help if they become usable in time, so the scheduler must weigh how fast
each mechanism activates against how much capacity it adds.
2026
DASH: Deadline-Aware Scheduling with Hybrid Resource Adaptation in 6TiSCH Networks
Raziur Rahman, Nikumani Choudhury, Wei Xiang
IEEE DELCON 2026. Accepted, to appear.
An activation-aware planner that chooses, link by link, between baseline
service, 6P-negotiated cells and controller-managed cells, and picks the
lowest-cost plan that still delivers a deadline-critical burst on time.
Project overview
Co-authored papers
Collaborations with colleagues at BITS Pilani, Hyderabad Campus, on MAC-layer
design for IEEE 802.15.4e networks and on IoT-based infrastructure monitoring.
2025
Delay-Bounded Adaptive MAC for IEEE 802.15.4e DSME Networks: Enhancing Resilience under Bursty and Dynamic IoT Traffic
Sonali Anand, Alekhya Gorrela, Raziur Rahman, Nikumani Choudhury, Anakhi Hazarika, Dipamani Choudhury, Tamoghna Ojha
IEEE ANTS 2025, New Delhi, India
Selective CAP Preservation (SeCAP), a delay-aware mechanism that keeps
contention access periods in DSME superframes only when the queue calls for
them, cutting high-load delay by up to 50% compared with static CAP
reduction.
IEEE Xplore
2025
A Physics-Informed Digital Twin for Asphalt Pavement Health Monitoring in IoT Environments
Anakhi Hazarika, Deepthi M. Dilip, Raziur Rahman, Aniruddha Deka
IEEE ANTS 2025, 6DCIoT Workshop, New Delhi, India
A physics-informed neural network that predicts the remaining service life
of asphalt pavements under floods, heatwaves and UV exposure, as the core of
a sensor-fed digital twin for IoT-based infrastructure monitoring.
IEEE Xplore