Mobile Grid-Based Wireless Sensor Network Node Deployment Algorithm

In this paper, I present a mobile grid-based wireless sensor network (WSN) node deployment algorithm. As you may know, wireless sensor networks consist of numerous interconnected sensor nodes capable of sensing and transmitting environmental data such as temperature, humidity, air quality, and other parameters. Node deployment represents one of the most critical tasks in WSNs, as it directly impacts network performance and efficiency. My program automates node deployment using a mobile grid approach that enhances both deployment efficiency and accuracy through systematic coverage optimization.

I initially developed a node deployment simulator to test the algorithm's performance and effectiveness, implementing core functions for grid movement, node positioning, and coverage calculation. Subsequently, I enhanced the algorithm by incorporating heuristic strategies and optimization methods, including genetic algorithm components for path optimization and simulated annealing for local search improvements, which significantly boosted the algorithm's precision and operational efficiency. Additionally, I created a graphical user interface (GUI) using MATLAB's App Designer framework, featuring interactive controls for parameter adjustment and visualization tools for real-time deployment results analysis.

For future work, I plan to further refine the algorithm to address more complex deployment scenarios involving obstacle avoidance and dynamic environment adaptation. I also intend to scale the program for larger network configurations and integrate it with other WSN applications through API development, aiming to enhance overall network performance and operational efficiency across diverse deployment scenarios.