A Complete Continuous Target Coverage Model for Emerging Applications of Wireless Sensor Network Using Termite Flies Optimization Algorithm

In everyday life, the Wireless Sensor Network has attained high demand increasingly since it provides more network structure to create various kinds of innovative real-time applications. One of the essential applications of WSN is target coverage. Forest, agriculture, underwater, terrorism, and other applications have used the target coverage model following its nature. Existing target coverage models are not efficient and continuous, and the application performance is poor. The above-said problem has taken into account, and various earlier research works proposed a different target coverage model, not up to the application requirement. This paper focused on providing an efficient target coverage model for various real-time applications. Thus, a complete, continuous, target coverage model is created for environmental monitoring applications using a novel Termite Flies Optimization (TFO) algorithm. Based on the termite fly's movement, distance, targets are covered by optimal sensor nodes. From the experiment, it is found that the proposed TFO algorithm outperforms the existing approaches.

Automated summary

The paper focuses on proposing an efficient target coverage model for various real-time applications using the Termite Flies Optimization (TFO) algorithm, which has been shown to outperform existing approaches in environmental monitoring applications.