A Novel Routing Protocol based on Prediction of Energy Consumption and Link Stability in Mobile Internet of Thing (MIoT)
Seyed Salar Sefati, Ahmed M. Nor, Simona Viorica Halunga, Octavian Fartu · 2022 25th International Symposium on Wireless Personal Multimedia Communications (WPMC) · 2022
Mobile Internet of Things (MIoTs), a promising 5G network application, has begun attracting attention from academia and industry. MIoTs use various sensors and wireless communication protocols. By adopting sophisticated technologies, people are leveraging IoTs to facilitate their tasks. In today's IoT devices, the mobility of the nodes is one of the essential features to be considered in real-world applications. However, it has several challenges, such as high latency time and energy consumption. Consequently, implementing efficient strategies in an IoT network is a vital concern to improve user satisfaction, because adding more sensors might reduce the Quality of Service (QoS), and overcome the current MIoT issues. The clustering strategy is one effective method to increase the number of live nodes and lengthen network life. Moreover, routing and data forwarding protocols significantly save precious nodes' resources and maintain the links between nodes. This paper proposes a new routing scheme based on the expected energy consumption and link stability, in which the strategy of distances is used to predict the consumed energy. Moreover, we propose a better forward data scheme using the link stability criterion. Furthermore, we validate and evaluate our work through extensive simulations using MATLAB software. Our results demonstrate that the proposed methods outperform the existing related schemes regarding the number of live nodes, reliability, and latency.