Energy Efficient Framework for Fog Network Based on Multisink Wireless Sensor Networks

• Published in: 2020 2nd International Conference on Computer and Information Sciences (ICCIS) pp. 1 - 5
• Main Authors: Ramadan, Rabie A., Alreshidi, Eissa Jaber, Sharif, Md. Haidar
• Format: Conference Proceeding
• Language: English
• Published: IEEE 13-10-2020
• Subjects: Cloud computing; Edge computing; Energy; Fog computing; Fog nodes; Internet of Things; Real-time systems; Servers; Wireless communication; Wireless sensor networks
• DOI: 10.1109/ICCIS49240.2020.9257703

Based on our research, cloud Computing may not be for many of Internet of Things (IoT) applications. Fog computing makes available the cloud computing paradigm by taking up the gap between centralized data servers and various geographically distributed applications. It functions by deploying fog nodes throughout the Internet. In addition, WSNs are the core of any Internet of Things applications as well as they are emergent networks in many of the real-time applications. Therefore, energy is the most critical issue of WSNs, In this paper, we propose an energy efficient framework for fog computing based on multi-sink WSNs (FOGSink). We believe that selecting the best sink node(s) on the border of the fog network will save the overall energy for many of the applications. Four criteria are used for multi-sink selections which are distance from the fog network nodes, nodes degree, nodes energy, and nodes processing capabilities. Simulation results show the effectiveness of our proposed framework.