Performance evaluation of a fog WSN infrastructure for emergency management
Performance evaluation of a fog WSN infrastructure for emergency management
Venue & metadata
- Journal/Proceedings: Simulation Modelling Practice and Theory
- Volume: 104
- Note: Cited by: 11
- Author keywords: Edge computing; Emergency management; Fog computing; Internet of things; ns-3; Performance evaluation; Simulation; Wireless sensor networks
Abstract
Advances in technology and the rise of new computing paradigms, such as Fog computing, may boost the definition of a new generation of advanced support services in critical applications. In this paper we explore the possibilities of a Wireless Sensor Network support (WSN) for a Fog computing system in an emergency management architecture that has been previously presented. Disposable intelligent wireless sensors, capable of processing tasks locally, are deployed and used to support and protect the intervention of a squad of firemen equipped with augmented reality and life monitoring devices to provide an environmental monitoring system and communication infrastructure,in the framework of a next-generation, cloud-supported emergency management system. Simulation is used to explore the design parameter space and dimension the workloads and the extension of the WSN, according to an adaptive behavior of the resulting Fog computing system that varies workloads to save the integrity of the WSN. © 2020 Elsevier B.V.
Keywords
Augmented reality GS Civil defense GS Disasters GS Environmental management GS Fog GS Risk management GS Wireless sensor networks GS Adaptive behavior GS Communication infrastructure GS Computing paradigm GS Critical applications GS Design parameters GS Emergency management GS Emergency management systems GS Environmental monitoring system GS Fog computing GS
Links & artifacts
Suggested citation
Campanile, L., Gribaudo, M., Iacono, M., & Mastroianni, M. (2020). Performance evaluation of a fog WSN infrastructure for emergency management [Article]. Simulation Modelling Practice and Theory, 104. https://doi.org/10.1016/j.simpat.2020.102120