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Linux Kernel Sensor Driver (LKM)

Project Overview

This project is a Linux Loadable Kernel Module (LKM) that simulates a hardware sensor driver. It operates entirely within kernel space, utilizing kernel timers to simulate data acquisition and providing a safe interface for user-space applications to read data via the /proc filesystem.

This demonstrates the ability to write stable, low-level code that interacts directly with the Linux Operating System.

Key Technical Features

  • Kernel-to-User Communication: Implemented a /proc interface using the proc_ops structure, allowing standard Linux utilities (like cat or grep) to access kernel data.
  • Asynchronous Timing: Utilized timer_list and jiffies to create a non-blocking periodic task that simulates hardware data updates.
  • Concurrency & Thread Safety: Integrated Mutex and Wait Queues to prevent race conditions and support blocking I/O between Interrupt Context (timer callback) and Process Context (user-space read).
  • Memory Isolation: Safely transferred data between kernel and user memory spaces using copy_to_user to prevent system crashes and security vulnerabilities.

Architecture

  • src/sensor_driver.c: Core driver logic, module initialization, and cleanup
  • src/sensor_driver.h: Shared definitions and device structure
  • Makefile: A professional Kbuild-compatible build script
  • scripts/test_driver.sh: Automation script to load, verify, and unload the module

How to Build and Run

Prerequisites

  • Linux Environment (Ubuntu/Debian recommended)
  • Build essentials and Kernel headers:
sudo apt update && sudo apt install build-essential linux-headers-$(uname -r)

Steps

  1. Compile the module:
make
  1. Run the automated test script:
chmod +x scripts/test_driver.sh
./scripts/test_driver.sh
  1. Manual Verification - View the live kernel logs:
dmesg | tail -f

Future Scalability

  • I2C/SPI Integration: Replace the timer simulation with actual bus logic to talk to physical sensors
  • Interrupt Handling: Implement Top-Half/Bottom-Half (Tasklets/Workqueues) for high-performance data processing
  • Device Tree: Add support for Device Tree Blobs (DTB) for ARM-based embedded targets.

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