Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 강경태 | - |
dc.date.accessioned | 2021-09-28T01:10:40Z | - |
dc.date.available | 2021-09-28T01:10:40Z | - |
dc.date.issued | 2020-10 | - |
dc.identifier.citation | 2020 IEEE 28th International Conference on Network Protocols (ICNP), Page. 1-2 | en_US |
dc.identifier.isbn | 978-1-7281-6992-7 | - |
dc.identifier.issn | 2643-3303 | - |
dc.identifier.uri | https://ieeexplore.ieee.org/document/9259350?arnumber=9259350&SID=EBSCO:edseee | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/165344 | - |
dc.description.abstract | The electronic control unit (ECU), considered the brain of a vehicle, suffers from a design problem called single point of failure (SPOF), which can induce system malfunctions. This problem can be addressed via redundancy, which increases the reliability of a mission-critical system by allowing multiple ECUs to perform a single function. However, this solution requires additional ECU and maintenance costs incurred by the redundant ECUs. A cost-effective approach for improving safety is to utilize the network connectivity between existing ECUs. In this paper, we propose a method that migrates critical tasks residing in an infeasible ECU to a replaceable ECU by using the network connection between them. Furthermore, to demonstrate the feasibility of the method, we implemented a task migration method on a Lego vehicle composed of three ECUs to prevent sudden unintended acceleration accidents caused by faults in an ECU managing the acceleration task. | en_US |
dc.language.iso | en_US | en_US |
dc.publisher | IEEE COMPUTER SOC | en_US |
dc.title | Network-Centric Approach Using Task Migration for Drive-by-Wire Vehicle Resilience | en_US |
dc.type | Article | en_US |
dc.relation.no | NA | - |
dc.relation.volume | NA | - |
dc.identifier.doi | 10.1109/ICNP49622.2020.9259350 | - |
dc.relation.page | 1-2 | - |
dc.contributor.googleauthor | Baik, Jeanseong | - |
dc.contributor.googleauthor | Jeong, Haegeon | - |
dc.contributor.googleauthor | Kang, Kyungtae | - |
dc.relation.code | 20200075 | - |
dc.sector.campus | E | - |
dc.sector.daehak | COLLEGE OF COMPUTING[E] | - |
dc.sector.department | DEPARTMENT OF ARTIFICIAL INTELLIGENCE | - |
dc.identifier.pid | ktkang | - |
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