Enhanced DV-HOP Node Localization Algorithm Based on Nearest Neighbour Distance and Hop-Count Evaluation in WSNs

The simplicity and ease of implementing the Distance Vector Hop (DV-Hop) localization method is mostly used as a range-free localization technique in location-based services. But it has poor positioning accuracy, particularly in a complicated, unequally distributed structure. To overcome this problem, an upgraded DV-Hop localization method based on BN (Beacon Node), hop thresholds, and balanced matrices are suggested, known as the enhanced-DVHLA method. The enhanced-DVHLA approach proposes the improved contribution in the DV-Hop localization by using ALO optimization algorithm. The proposed method is more efficient and reliable as compared to other approaches in WSNs as it has optimized the error rate (LE) to more than 77 percent, and improved the localization accuracy compared with other techniques. The LER dropped by 40.1 percent, and 27.8 percent, respectively, when compared with the TWDV-Hop and TWDV-Hop-AODV methods.