Article Abstract
International Journal of Trends in Emerging Research and Development, 2024;2(3):183-189
AI-Driven Adaptive Clustering Methods in WSN
Author : DD Suribabu Devarasetti and Dr. Amit Singhal
Abstract
This survey evaluates recent cluster-based routing protocols released from 2021 to 2024, focusing on AI-driven approaches in Wireless Sensor Networks (WSNs). The analysis includes solution-based parameters such as performance mode, selection strategies, optimization objectives, modeling techniques, and key factors affecting the overall effectiveness of each approach. Network configuration analysis includes topology, communication architecture, network scale, performance metrics, and simulators used. The comprehensive analysis provides valuable insights into the capabilities and limitations of each method, aiming to guide future research towards developing more efficient cluster-based routing techniques for WSNs. These methods, incorporating intelligent performance characteristics, will be well equipped to address the growing demands of the intelligent era.
Keywords
AI, Clustering, WSN, Networks and Technology