Unlike the scalar data (such as temperature, pressure and humidity), the vector data (such as image, audio and video) necessitates more stringent Quality of Service (QoS) requirements in terms of bandwidth, delay, reliability and information security. These QoS requirements can be hardly achieved in a proper fashion by using a single channel for wireless communication. However, multichannel methodology may assist in accomplishing these QoS requirements by making possible parallel communication, enhancing throughput/delivery ratio, reducing transmission delay and countering jamming attacks. Furthermore, enabling data gathering at multiple points (i.e. multisink approach) may improve QoS by handling congestion, avoiding single point of failure issue and making possible load balancing between the available routes towards the corresponding destinations. To achieve reliable communication in stream based multichannel Wireless Sensor Networks (WSNs), this work proposes a novel QoS-aware Cross-layered Multichannel Multisink Routing protocol (QCM2R) for WSNs. For substantiating the performance of QCM2R protocol, the simulations are performed in NS-2 demonstrating the performance superiority of the proposed QCM2R protocol against the counterpart in terms of network lifetime, reliability, delay and throughput.

与标量数据（例如温度，压力和湿度）不同，矢量数据（例如图像，音频和视频）在带宽，延迟，可靠性和信息安全性方面要求更严格的服务质量（QoS）要求。通过使用单个信道进行无线通信，很难以适当的方式实现这些QoS要求。但是，多通道方法可以通过实现可能的并行通信，提高吞吐量/传递比，减少传输延迟和应对干扰攻击来帮助满足这些QoS要求。此外，启用多点数据收集（即多接收器方法）可以通过处理拥塞来改善QoS，避免单点故障问题，并在通往相应目的地的可用路由之间实现负载平衡。为了在基于流的多通道无线传感器网络（WSN）中实现可靠的通信，这项工作提出了一种新颖的，可感知QoS的WSN跨层多通道多宿路由协议（QCM2R）。为了证实QCM2R协议的性能，在NS-2中进行了仿真，从网络寿命，可靠性，延迟和吞吐量方面证明了所提出的QCM2R协议相对于同类协议的性能优势。