An Efficient and Multi-Tier Node Deployment Strategy Using Variable Tangent Search in an IOT-Fog Environment

Abstract

The Internet of Things (IoT) creates a large number of datasets, and these are handled in cloud data centers. IoT services are more delayed when data is sent over longer distances to the cloud. Node deployment is used to improve the performance of the multi-tier IoT-Fog environment by finding minimum distance with low Latency. Several methods have been discussed previously to improve the node deployment strategies but they do not provide good results. To overcome these issues, an Efficient and Multi-Tier Node Deployment Strategy using Variable Tangent Search Optimization Algorithm (VTSOA) is proposed in an IoT-Fog Environment. This Multi-Tier Node Deployment Strategy consists of several layers: IoT device layer, Fog layer, and cloud layer. The IoT device layer collects the data from external devices and is transmitted to the Fog layer. The fog layer contains several nodes. Hence, it increases the Latency of sending the data to the cloud. Therefore, VTSOA-based node deployment is done in the fog layer which finds the minimum distance nodes for effective communication. In this, the proposed approach is implemented in MATLAB. After that, the performance of this method is linked to various optimization algorithms.