A Cyber-physical Systems Approach to Optimizing Internet of Vehicles Architecture with Rapidly Evolving Technology
Abstract
There is significant work underway to make the internet of vehicles a reality, however the required infrastructure is substantial and the technologies will quickly evolve during the early adaption phase. While an internet of vehicles architecture must be optimized for its key performance metrics, because of the technological volatility, additional objectives measuring the sensitivity of the key performance metrics to technological change should also be included. This would minimize the impact of evolving technologies although it would also effectively double the number of objectives. A large number of objectives creates a significant difficulty for optimization due to Pareto breakdown where a large percentage of the solution space is non-dominated. An approach is developed that casts this as a cyber-physical systems architecting problem using a meta-architecture that represents the problem in terms of systems and interfaces. The systems are formally characterized in manner allowing the objectives to be calculated given an architecture which is a particular instance of the meta-architecture. The meta-architecture is structured as a chromosome to allow the use of a many-objective evolutionary algorithm to optimize the architecture despite the large number of objectives present. An evolutionary algorithm was chosen because it does not require a continuous solution space and can readily enforce constraints on solutions. A guide to problem formulation and models of representative objectives and feasibility constraints are provided to demonstrate this approach.
Recommended Citation
D. M. Curry and C. H. Dagli, "A Cyber-physical Systems Approach to Optimizing Internet of Vehicles Architecture with Rapidly Evolving Technology," Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10689 LNCS, pp. 135 - 143, Springer, Jan 2017.
The definitive version is available at https://doi.org/10.1007/978-3-319-72329-7_12
Department(s)
Engineering Management and Systems Engineering
Keywords and Phrases
Architecture; CPS; Cyber-physical system; Internet of vehicles; IOV; Many-objective evolutionary algorithm; MaOEA; Optimization
International Standard Book Number (ISBN)
978-331972328-0
International Standard Serial Number (ISSN)
1611-3349; 0302-9743
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Springer, All rights reserved.
Publication Date
01 Jan 2017
