KMFA2 based QoS improvement for multi-channel IoT networks

Internet of Things (IoT) networks are designed to obtain the best possible end-user experience. This experience is measured in terms of security and speed of operation. In order to achieve high security, encryption, and authentication algorithms are proposed by researchers. The speed of operation is generally measured using the network's response time, and it can be improved using light-weighted algorithms for data processing and actuation. Most of these techniques are applied at the application level, making the network ineffective in its originally deployed form. Moreover, due to the addition of security and data processing layers, the overall IoT network's QoS reduces, reducing the end user's experience. In order to remove these issues, this work proposes a novel kernel-level multi-channel fuzzy-authentication and aggregation framework (KMFA2). The KMFA2 framework can solve authentication issues by using a kernel-level lightweight and secure authentication protocol for all IoT devices. KMFA2 also enables the IoT devices to possess multi-channel capabilities, with inbuilt aggregation capabilities. The overall implementation is carried out on the NS2 tool. The proposed KMFA2 protocol is tested on different IoT networks, and it is observed that the protocol improves the QoS by almost 10% and simplifies security using the authentication framework. The comparisons were performed with state-of-the-art IoT deployments.