Design of QoS Aware Routing Protocol for IoT Assisted Clustered WSN

In current days, the domain of Internet of Things (IoT) and Wireless Sensor Networks (WSN) are combined for enhancing the sensor related data transmission in the forthcoming networking applications. Clustering and routing techniques are treated as the effective methods highly used to attain reduced energy consumption and lengthen the lifetime of the WSN assisted IoT networks. In this view, this paper presents an Ensemble of Metaheuristic Optimization based QoS aware Clustering with Multihop Routing (EMOQoSCMR) Protocol for IoT assisted WSN. The proposed EMO-QoSCMR protocol aims to achieve QoS parameters such as energy, throughput, delay, and lifetime. The proposed model involves two stage processes namely clustering and routing. Firstly, the EMO-QoSCMR protocol involves crossentropy rain optimization algorithm based clustering (CEROAC) technique to select an optimal set of cluster heads (CHs) and construct clusters. Besides, oppositional chaos game optimization based routing (OCGOR) technique is employed for the optimal set of routes in the IoT assisted WSN. The proposed model derives a fitness function based on the parameters involved in the IoT nodes such as residual energy, distance to sink node, etc. The proposed EMOQoSCMR technique has resulted to an enhanced NAN of 64 nodes whereas protocol has been evaluated interms of energy efficiency and network lifetime.

Automated summary

In this paper, an Ensemble of Metaheuristic Optimization based QoS aware Clustering with Multihop Routing (EMOQoSCMR) Protocol is proposed for enhancing the sensor data transmission in wireless sensor networks (WSN) assisted by Internet of Things (IoT). The EMO-QoSCMR protocol utilizes crossentropy rain optimization algorithm based clustering (CEROAC) technique and oppositional chaos game optimization based routing (OCGOR) technique to achieve QoS parameters such as energy, throughput, delay, and lifetime.