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AD4ON: An ITS-based Decision Making Architecture for Opportunistic Networking

Abstract : To participate in smarter transportation systems, vehicles need to increase their environment awareness. This could be achieved by enabling vehicles to communicate with their environment. Once vehicles become connected, an ecosystem of applications and services could be developed around them, enabling the information exchange with other connected devices and contributing to a Cooperative Intelligent Transportation Systems (C-ITS). The environment of connected and cooperative vehicles is characterized by its heterogeneity. Numerous stakeholders are involved in providing various services, each of them with specific requirements. Moreover, countries may have specifics regulations. Therefore, a single access technology to connect all these heterogeneity is impossible. For ubiquitous connectivity it is necessary to use existing wireless communication technologies such as vehicular WiFi (ITS-G5, DSRC), urban WiFi, 802.15.4, and cellular. In such heterogeneous network environment, applications and services cannot take into account all technology particularities. A ITS communication architecture should hide to the application the underlying differences of access networks, providing seamless communication independently of the access technology. Based on the ITS architecture designed by International Organization for Standardization (ISO) and European Telecommunications Standards Institute (ETSI), we proposed the AD4ON, a modular decision maker architecture capable to choose the best available communication profile and path for each data flow in an heterogeneous and dynamic network environment. The proposed architecture manages requirements and preferences from different actors (e.g., applications, users, administrators and regulators). It considers the context information (e.g., vehicle speed, battery level), and it takes into account the route conditions between two communicating devices. It could make proactive decision taking into account short-term previsions about the network environment.
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Contributor : Rodrigo Silva Connect in order to contact the contributor
Submitted on : Monday, October 8, 2018 - 11:20:56 AM
Last modification on : Tuesday, October 19, 2021 - 11:04:40 AM
Long-term archiving on: : Wednesday, January 9, 2019 - 1:42:28 PM


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  • HAL Id : hal-01889967, version 1


Rodrigo Silva, Jean-Marie Bonnin, Thierry Ernst. AD4ON: An ITS-based Decision Making Architecture for Opportunistic Networking. International Journal On Advances in Networks and Services, IARIA, 2018, 11 (1-2), pp.11-21. ⟨hal-01889967⟩



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