Robust, Resilient and Reliable Architecture for V2X Communication

The new developments in mobile edge computing
(MEC) and vehicle-to-everything (V2X) communications has
positioned 5G and beyond in a strong position to answer the
market need towards future emerging intelligent transportation
systems and smart city applications. The major attractive features
of V2X communication is the inherent ability to adapt to any type
of network, device, or data, and to ensure robustness, resilience
and reliability of the network, which is challenging to realize. In
this work, we propose to drive these further these features by
proposing a novel robust, resilient and reliable architecture for
V2X communication based on harnessing MEC and blockchain
technology. A three stage computing service is proposed. Firstly,
a hierarchcial computing architecture is deployed spanning over
the vehicular network that constitutes cloud computing (CC),
edge computing (EC), fog computing (FC) nodes. The resources
and data bases can migrate from the high capacity cloud services
(furthest away from the individual node of the network) to the
edge (medium) and low level fog node, according to computing
service requirements. Secondly, the resource allocation filters the
data according to its significance, and rank the nodes according
to their usability, and selects the network technology according
to their physical channel characteristics. Thirdly, we propose
a blockchain-based transaction service that ensures reliability.
We discussed two use cases for experimental analysis, plugin
electric vehicles in smart grid scenarios, and massive IoT
data services for autonomous cars. The results show that car
connectivity prediction is accurate 98% of the times, where 92%
more data blocks are added using micro-blockchain solution
compared to the public blockchain, where it is able to reduce the
time to sign and compute the proof-of-work (PoW), and deliver
a low-overhead Proof-of-Stake (PoS) consensus mechanism. This
approach can be considered a strong candidate architecture for
future V2X, and with more general application