A Critical Analysis of Artificial Intelligence Based Congestion Control Mechanisms in WSN

Congestion control in wireless sensor network (WSN) imposes significant challenges. Performance along with sustainability is crucial in a hostile and critical environment. The deployment of huge tiny sensor having constrained resources demands energy optimization and free channel. Traditional congestion control mechanisms are not sufficient to perform efficiently. Artificial Intelligence -based techniques are more prominent in recent years. However, these techniques are also parameter specific and do not come up with a general framework. In the current study various Artificial Intelligence-based congestion control techniques are analyzed and possible research gaps are identified. A critical analysis of state-of-the art techniques are considered which demands a shift from specific to general WSN congestion control framework.