Explore MATLAB source code curated for "无线传感器网络" with clean implementations, documentation, and examples.
Using MATLAB to establish system models for sensor networks provides valuable support for current research in wireless sensor networks, with implementation involving network topology generation, sensor node modeling, and communication protocol simulation.
Implementation of Iterated Extended Kalman Filter for nonlinear filtering applications in wireless sensor networks with code-level algorithm explanations
RSSI (Received Signal Strength Indicator) serves as a range-based localization technique in wireless sensor networks, utilizing a log-normal shadowing model for distance estimation in this implementation.
Implementation of Basic Ant Colony Algorithm in Wireless Sensor Networks with Integrated Clustering Approach
This MATLAB program implements a wireless sensor network topology generation method, featuring parameter configuration for node deployment, communication range modeling, and energy consumption considerations.
Application Background: Power control modeling in Wireless Sensor Networks (WSN) using game theory principles. WSN routing technology leverages node collaboration for data transmission, ensuring network reliability while minimizing individual node energy consumption and balancing overall network energy usage to extend network lifespan. Key Technology: Non-cooperative game-based power control technique in WSN reduces energy consumption and optimizes network performance. Energy efficiency is among the most critical features of sensor nodes - both energy consumption and routing design must be considered during WSN construction to prolong node longevity. Implementation involves utility function design, Nash equilibrium computation, and distributed power adjustment algorithms.
A study on routing algorithms for wireless sensor networks, focusing on the classic LEACH algorithm for energy balancing, implemented and simulated using MATLAB with functional validation.
MATLAB simulation implementation of an enhanced DSR routing protocol for wireless sensor networks, featuring algorithmic improvements and performance analysis through code-based demonstrations.
This MATLAB-based program implements wireless sensor network localization algorithms by computing distances between mobile targets and surrounding nodes with known positions. The system incorporates robust fault-tolerant algorithms to mitigate environmental interference and enhance localization accuracy.
Implementation of Firefly algorithm for distributed time synchronization in wireless sensor networks based on the M&S model, featuring pulse-coupled oscillator synchronization mechanisms