Edge server deployment scheme of blockchain in IoVs
Liya Xu, Mingzhu Ge, Weili Wu

TL;DR
This paper proposes an edge server deployment scheme using a randomized algorithm to enhance blockchain application in IoVs, addressing limited node computing power and improving vehicle coverage.
Contribution
It introduces a novel randomized deployment algorithm for edge servers in IoVs to optimize blockchain integration and vehicle coverage.
Findings
The proposed scheme improves vehicle node coverage.
Simulation results outperform existing deployment schemes.
The algorithm effectively balances coverage and computational efficiency.
Abstract
With the development of intelligent vehicles, security and reliability communication between vehicles has become a key problem to be solved in Internet of vehicles(IoVs). Blockchain is considered as a feasible solution due to its advantages of decentralization, unforgeability and collective maintenance. However, the computing power of nodes in IoVs is limited, while the consensus mechanism of blockchain requires that the miners in the system have strong computing power for mining calculation. It consequently cannot satisfy the requirements, which is the challenges for the application of blockchain in IoVs. In fact, the application of blockchain in IoVs can be implemented by employing edge computing. The key entity of edge computing is the edge servers(ESs). Roadside nodes(RSUs) can be deployed as ESs of edge computing in IoVs. We have studied the ES deployment scheme for covering more…
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Taxonomy
TopicsBlockchain Technology Applications and Security · IoT and Edge/Fog Computing · Visual Attention and Saliency Detection
