Abstract
In vehicle-to-infrastructure (V2I) communications, various failures in the dynamic movement pose serious link interruptions. To study the continuous service quality for the V2I network when this issue happens, this paper proposes a survivability analysis and establishes the communication architecture for software-defined network (SDN)-based V2I communications. With the controllable advantages of SDN centralized management, the multi-path transmission control protocol is used to seamlessly switch the transmission information between the V2I links of each vehicle node. Specifically, according to the analysis of specific fault types for V2I links, the definitions of SDN-based V2I survivability is provided to establish the corresponding survivability mode. To further verify the survivability model, a full-state search is adopted by means of probability model checker PRISM. In addition, multi-directional probability and expected reward evaluation analyses are carried out from the point of view of time. The simulation results show that, with the failure of multiple V2I links, the network quality of service (QoS) correspondingly declines, but the network still survives, due to the multi-path transmission control protocol (MPTCP) action. Moreover, with a high fault repair rate, the service performance and survivability of the network is improved rapidly.
Highlights
Survivability refers to the ability of the system to recover in time after the occurrence of abnormal events
Due the use of single form Markov chain modeling for current survivability models, this paper considers two fault types that exist in a software-defined network (SDN)-based vehicle network that lead to the failures of V2I link communications, these are, the vehicle node fault and the link fault
We investigated thetoSDN-based vehicle network survivability for the
Summary
Survivability refers to the ability of the system to recover in time after the occurrence of abnormal events. This paper proposes to use the probabilistic checking method to accurately analyze and evaluate the survivability of a SDN-based vehicle network from the point of view of network link failure (including software and hardware failure) and recovery. In the action of the SDN central control and MPTCP, the link between each V2I can be switched seamlessly, leading to that results in the vehicle network still have some survivability under abnormal conditions (i.e., software or hardware is destroyed), and the survivability of the network is improved rapidly for a timely repairing mechanism. Due the use of single form Markov chain modeling for current survivability models, this paper considers two fault types that exist in a SDN-based vehicle network that lead to the failures of V2I link communications, these are, the vehicle node fault and the link fault.
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