Autonomous Cell Scheduling Algorithm

Overview

This project implements a simulation of an autonomous cell scheduling algorithm for multi-hop IoT networks based on the 6TiSCH standard. Each node independently computes its transmission schedule using only local information, enabling decentralized and scalable network operation.

Problem Statement

Design a lightweight, collision-free scheduling mechanism that maximizes packet delivery to the root node while minimizing congestion and packet loss in a dynamic IoT network.

Key Features

• Autonomous slot and channel allocation using hash-based rules
• Collision avoidance without centralized coordination
• Buffer management at intermediate nodes
• Simulation of multi-hop traffic and packet forwarding
• Performance evaluation using Packet Delivery Ratio (PDR) and packet drops

Files

• autonomous_cell_scheduling.py – Main simulation script
• simulation.ipynb – Notebook for analysis and visualization
• Algorithm.tex – Algorithm description in LaTeX

How to Run

python autonomous_cell_scheduling.py