Abstract: Researchers have focused on edge computing to improve and maximise the information application performance and reliability of the V2V communication network. In the present study, cloud computing is employed for message-related job execution, which boosts reaction time. We present a Software-defined Fault Tolerance and QoS-Aware (Quality of Service) V2V communication using Edge Computing Secured by Blockchain to minimise overall communication latency, message failure fault tolerance, and secure service provisioning in a V2V communication network. Block chain and edge computing have an intriguing interdependence. Edge computing/distributed computation architecture may offer a platform for block chain nodes to store and validate transactions. On the other side, blockchain may allow a fully open distributed cloud marketplace.
If the message delivery fails, the fault tolerance mechanism resends the error message. The results demonstrate the performance of the suggested model, which reduced the total message transmission time by 55% for routine and emergency messages by using the edge server SDN controller. Furthermore, the suggested approach uses edge servers, cloud servers, and blockchain infrastructure to minimise execution time, security risk, and message failure ratio.
Keywords- Vehicular computing, autonomous vehicles, edge computing, task partitioning
Cite:
Tanushri Raut, Siddhi Thakur, Sania Chorge, Sheetal Sapate,"Vision based architecture of Home Security System", IJARCCE International Journal of Advanced Research in Computer and Communication Engineering, vol. 13, no. 3, 2024, Crossref https://doi.org/10.17148/IJARCCE.2024.133116.
|
DOI:
10.17148/IJARCCE.2024.133116
