Modelling and simulation of secure energy aware fog sensing systems

• Published in: Simulation modelling practice and theory 2020-05, Vol.101, p.102011, Article 102011
• Main Authors: Niewiadomska-Szynkiewicz, Ewa, Sikora, Andrzej, Kołodziej, Joanna, Szynkiewicz, Paweł
• Format: Article
• Language: English
• Subjects: Activity control; Deployment strategies; Edge computing; Energy aware communication; Fog computing; Mobile wireless sensor network (MWSN); Modeling and simulation; Power saving techniques; Wireless sensor network (WSN)
• ISSN: 1569-190X; 1878-1462
• DOI: 10.1016/j.simpat.2019.102011

This paper presents a generic model of the energy aware, secure sensing and computing system composed of clusters comprised of static and mobile wireless sensors. The architecture of the modelled system is based on the paradigms of edge and fog computing. The data collected by all sensing devices (edge devices) located in each cluster is preprocessed and stored at the edge closures and routed over the wireless network to a base station, i.e. a gateway of a cluster. The local aggregation, analysis and essential computing tasks are performed by the clusters’ gateways. Finally, the results of these operations are sent through the backbone network to the cloud data center for data fusion, correlation and further computing based on the data gathered from the all sensing clusters. The proposed edge and fog implementation can significantly offload of the cloud data centers and improve the security aspects in data processing. We point out that due to limited computing and energy resources of edge devices effective deployment of sensors and power management are vital design issues that need to be boosted in order to carry out a substantial amount of computation, increase the lifespan of a sensing system and ensure high quality monitoring. We overview various approaches to deployment of sensing devices in a workspace and discuss the issues related to the energy aware and secure communication. The results of the evaluation of the performance of the selected energy conservation techniques through simulation and experiments conducted in testbed networks are presented and discussed.