Optimizing DV-Hop Algorithm for Enhanced Node Localization Accuracy and Coverage Rate Improvement

To improve the DV-Hop algorithm's node localization accuracy and enhance coverage rate, the following methods can be implemented: - Deploy additional sensor nodes strategically to achieve higher network coverage density. This can be programmed by implementing a node placement algorithm that calculates optimal positions based on signal propagation models and coverage requirements. - Enhance inter-node communication data exchange to improve localization accuracy. This involves modifying the DV-Hop implementation to increase beacon message frequency or implementing data fusion techniques where nodes share additional metadata like signal strength indicators (RSSI) or time-of-arrival measurements for more precise distance calculations. - Upgrade the core algorithm using advanced techniques such as weighted least squares estimation for hop count conversion, or implement machine learning approaches where historical localization data trains models to correct distance estimation errors. The algorithm can be enhanced by incorporating correction factors based on network topology analysis. These methodologies collectively contribute to improved precision in node positioning and expanded coverage area, ensuring more robust and efficient system operation in wireless sensor networks. Code implementations typically involve modifying the beacon propagation mechanism, refining the distance calculation function, and adding post-processing routines for error correction.