Analyzing the Performance of DV-Hop Based Localization Algorithms in Range-free Wireless Sensor Networks

Abstract

Wireless sensor networks are used in a wide range of applications, including environmental monitoring, industrial automation, and healthcare. In order to effectively gather and analyze data from these networks, it is crucial to accurately determine the position of the sensors. Range-free localization algorithms and techniques are often used for this purpose, as they are able to adapt to changing conditions and do not require the use of fixed ranges or predetermined reference points. The DV-Hop algorithm is a popular choice for range-free localization, as it is able to adapt to changing conditions and can be used in a variety of environments. However, the DV-Hop algorithm has its limitations, as it can be prone to error and may not be as accurate as other localization methods. In this study, we evaluated the performance of the DV-Hop algorithm and its improved versions in order to determine their accuracy and effectiveness in range-free localization. Our results showed that the DV-Hop algorithm and its improved versions are effective at determining the position of the sensors in a range-free wireless sensor network, with the improved versions performing significantly better than the original algorithm. However, there is still a significant level of error present, indicating that further improvements could be made to increase the accuracy of the algorithm. Overall, our study highlights the importance of range-free localization in wireless sensor networks and the need for further research and development in this area in order to improve the accuracy, efficiency, and adaptability of range-free localization methods.