Cyber-OF: An Adaptive Cyber-Physical Objective Function for Smart Cities Applications
Mohamed Ghazi Amor, Anis Koubâa, Eduardo Tovar, Mohamed Salah Khalgui · Euromicro Conference on Real-Time Systems · 2016
RPL is the standard routing protocol for the Internet of Things. It is designed for low-power and lossy networks. Several works designed different objective functions for RPL to optimize routing decisions for a particular category of applications. However, these objective functions do not take into account the cyber-physical properties of the environment. In addition, they are tailored to satisfy a particular application requirement (e.g. energy efficiency or delay), so are not adaptive to possible changes of data criticality. This paper improves on the state-of-the-art with the design of a cyber-physical objective function tailored for smart city applications, that addresses the aforementioned gaps. Initial simulation results demonstrate the effectiveness of Cyber-OF in coping with dynamic changes of the criticality of events data and in providing a good performance trade-off between conflicting performance metrics, namely energy. Cyber-OF: An Adaptive Cyber-Physical Objective Function for Smart Cities Applications Med Ghazi Amor§ Anis Koubaa§∗, Eduardo Tovar§, Mohamed Khalgui ‖ §CISTER/INESC TEC and ISEP-IPP, Porto, Portugal ∗ Prince Sultan University, Saudi Arabia. ‖ INSAT, University of Carthage, Tunisia. Email: (mhgha, aska, emt)@isep.ipp.pt, [email protected], [email protected] Abstract—RPL is the standard routing protocol for the Internet of Things. It is designed for low-power and lossy networks. Several works designed different objective functions for RPL to optimize routing decisions for a particular category of applications. However, these objective functions do not take into account the cyber-physical properties of the environment. In addition, they are tailored to satisfy a particular application requirement (e.g. energy efficiency or delay), so are not adaptive to possible changes of data criticality. This paper improves on the state-of-the-art with the design of a cyber-physical objective function tailored for smart city applications, that addresses the aforementioned gaps. Initial simulation results demonstrate the effectiveness of Cyber-OF in coping with dynamic changes of the criticality of events data and in providing a good performance trade-off between conflicting performance metrics, namely energyRPL is the standard routing protocol for the Internet of Things. It is designed for low-power and lossy networks. Several works designed different objective functions for RPL to optimize routing decisions for a particular category of applications. However, these objective functions do not take into account the cyber-physical properties of the environment. In addition, they are tailored to satisfy a particular application requirement (e.g. energy efficiency or delay), so are not adaptive to possible changes of data criticality. This paper improves on the state-of-the-art with the design of a cyber-physical objective function tailored for smart city applications, that addresses the aforementioned gaps. Initial simulation results demonstrate the effectiveness of Cyber-OF in coping with dynamic changes of the criticality of events data and in providing a good performance trade-off between conflicting performance metrics, namely energy