Rotated Whale Optimization Algorithm
Algorithm Updated 2 minutes ago
Wireless sensor networks (WSNs) have increasingly captured the attention of researchers due to their broad applicability in various environments. Among the crucial aspects of WSNs, localization information stands out as vital. In this context, the paper introduces a novel algorithm termed the Rotated Black Hole (RBH) algorithm. This innovative approach incorporates a rotated optimal path, significantly enhancing the global search capability of the traditional Black Hole (BH) algorithm. Subsequently, the RBH algorithm is applied to minimize localization errors within WSNs in three-dimensional terrains.
To evaluate the algorithm's performance, the CEC 2013 test suite was employed, revealing that the RBH algorithm outperforms other well-known intelligent computing algorithms in search efficiency. Furthermore, localization simulation experiments demonstrate that this algorithm excels in addressing real-world challenges.
For those interested in further exploring similar WSN localization algorithms, you might find the following resources valuable:
These links provide access to research and tools that align with the advancements presented in the RBH algorithm, enriching the reader’s understanding and application of WSN localization techniques. By seamlessly integrating these resources, readers can delve deeper into the topic, enhancing the overall learning experience.
