Considering both channel quality and stability may enhance the likelihood of optimum channel decision for stream-based communication. Good quality stable channels may maintain a particular quality level during data stream transmission and thereby minimize channel switching overheads such as switching delay, energy consumption, and the associated data loss. Among the published multichannel MAC protocols for WSNs, only a few consider channel quality before assigning wireless channels. Whereas to the best of our knowledge, only few contemplates both channel quality and stability during stream-based communication, however, not very suitable for varying (noisy) environment. To bridge this gap, this work proposes a novel dynamic Multichannel Adaptive approach for Grading Immediate Channels (MAGIC). The MAGIC protocol may predict and classify the available channels under channel quality and stability assessment methodology and determines Local Preferred Channels (LPCs) in a noisy environment. Afterwards, the best among those channels may be selected (under some QoS criteria) for stream-based communication in WSNs. The proposed MAGIC algorithm minimizes channel processing overheads by considering only non-blacklisted channels during a communication session. Simulation results show that the MAGIC algorithm achieves better performance than the counterparts in terms of channel switching delay, energy consumption, and the associated throughput loss.

同时考虑信道质量和稳定性可能会增加基于流的通信的最佳信道决策的可能性。高质量稳定的信道可以在数据流传输期间维持特定的质量水平，从而最小化信道切换开销，例如切换延迟，能耗和相关的数据丢失。在已发布的用于WSN的多通道MAC协议中，只有少数几个在分配无线信道之前考虑了信道质量。据我们所知，只有很少的人在基于流的通信中同时考虑信道质量和稳定性，但是，它并不非常适合变化（嘈杂）的环境。为了弥合这一差距，这项工作提出了一种新颖的动态多通道自适应方法，用于对立即通道进行分级（MAGIC）。MAGIC协议可以根据信道质量和稳定性评估方法对可用信道进行预测和分类，并在嘈杂的环境中确定本地首选信道（LPC）。之后，可以选择这些信道中的最佳信道（在某些QoS准则下）用于WSN中基于流的通信。所提出的MAGIC算法仅考虑了信道处理开销 在通信会话期间将其列入黑名单。仿真结果表明，在信道切换延迟，能耗以及相关的吞吐量损失方面，MAGIC算法的性能优于同类算法。