In IoT, the major challenge is processing huge amount of data from different types of sensors and to achieve a reliable data transmission in the sensor network. This makes it a necessity in enhancing Quality of Service, to acquire real-time service with assured quality. The major problem faced in the sensor network is delay, as more time is required to set up a connection with limited spectrum for maintaining numerous state information per connection. Finding the optimal route with efficient bandwidth is not ideal using an existing routing algorithm, both in ad hoc and cognitive network. As a result, a protocol is proposed in this paper to minimize the delay and maximize the effective spectrum allocation. The proposed algorithm is implemented in real-time traffic monitoring application using network simulator to estimate the quality of service. The performance of the proposed system is compared with the existing systems in terms of throughput and delay. The delay decreases by 3% approximately when compared with the existing techniques.

在物联网中，主要挑战是处理来自不同类型传感器的大量数据，并在传感器网络中实现可靠的数据传输。因此，有必要提高服务质量，以确保质量的方式获取实时服务。传感器网络面临的主要问题是延迟，因为需要花费更多的时间来建立频谱有限的连接，以维持每个连接大量的状态信息。在ad hoc网络和认知网络中，使用现有的路由算法来查找具有有效带宽的最佳路由都不理想。结果，本文提出了一种协议，以最小化延迟并最大化有效频谱分配。该算法在实时交通监控应用中使用网络模拟器来估计服务质量。拟议系统的性能在吞吐量和延迟方面与现有系统进行了比较。与现有技术相比，延迟大约减少了3％。