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Graduate School of Ajou University
Department of Artificial Intelligence Convergence Network
3. Theses(Master)
Risk aware Trust of Information for Improving Safety in Vehicular Networks
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 고영배 | - |
| dc.contributor.author | 최종영 | - |
| dc.date.accessioned | 2022-11-29T03:01:03Z | - |
| dc.date.available | 2022-11-29T03:01:03Z | - |
| dc.date.issued | 2022-02 | - |
| dc.identifier.other | 31752 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/20687 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :AI융합네트워크학과,2022. 2 | - |
| dc.description.abstract | 차량 네트워크에서 BSM(Basic Safety Messages)을 기반으로 하는 안전 애플리케이션은 도로 안전을 크게 향상시킬 것이다. 차량이 주기적으로 broadcast하는 BSM은 차량의 위치, 속도 및 방향과 같은 정보가 포함된다. BSM이 오래되거나 잘못되었다면 충돌로 이어질 수 있다. 따라서 신선하고 정확한 BSM을 전달하는 데에 BSM rate adaptation은 필요하다. 최근 많은 연구에서 Age of Information (AoI) 개념을 BSM rate adaptation에 적용하였다. 이 논문에서는 AoI를 "있는 그대로" 적용하는 것이 최적이 아닌 이유를 조사하고 AoI 최소화를 위해 특정 차량을 선택하는 것의 중요성을 보여준다. 또한 BSM의 중요성 측면에서 신뢰성을 정량화하는 데 적용할 수 있는 새로운 Trust of Information (ToI) 개념을 제안한다. 시뮬레이션을 통해 ToI 기반 BSM rate adaptation 알고리즘을 최근의 BSM rate adaptation과 비교하여 ToI 알고리즘이 안전 측면에서 더 우수함을 보여준다. | - |
| dc.description.tableofcontents | 제1장 Introduction 1 제2장 Background 5 제1절 IEEE 802.11p based WAVE 5 제2절 Age of Information (AoI) 6 제3장 Related Work 9 제1절 AoI-based Rate Adaptation 9 제2절 Limitations of AoI 11 제4장 Proposed Scheme 19 제1절 Trust of Information (ToI) 19 1. Risk Level Assessment 19 2. Change in Motion (CM) 24 제2절 ToI-based Rate Adaptation Algorithm 27 제5장 Performance Evaluation 31 제1절 Simulation Setting 31 제2절 Simulation Results 32 제6장 Conclusion 38 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Risk aware Trust of Information for Improving Safety in Vehicular Networks | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.department | 일반대학원 AI융합네트워크학과 | - |
| dc.date.awarded | 2022. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 1245102 | - |
| dc.identifier.uci | I804:41038-000000031752 | - |
| dc.identifier.url | https://dcoll.ajou.ac.kr/dcollection/common/orgView/000000031752 | - |
| dc.subject.keyword | AoI | - |
| dc.subject.keyword | BSM | - |
| dc.subject.keyword | Rate adaptation | - |
| dc.subject.keyword | 논문 | - |
| dc.subject.keyword | 아주대학교 | - |
| dc.subject.keyword | 차량 네트워크 | - |
| dc.description.alternativeAbstract | In vehicular networks, safety applications based on Basic Safety Messages(BSMs) promise to improve the road safety significantly. BSMs broadcast by a vehicle contain current information on its kinematics namely its position, speed, and heading. An outdated or incorrect BSM can lead to collision; therefore, BSM rate adaptation is necessary to communicate fresh and accurate information. Many recent studies have applied the Age of Information (AoI) concept to BSM rate adaptation. In this dissertation, I investigate why applying AoI "as is" is not optimal, and demonstrate the importance of selecting specific vehicles for AoI minimization. I also propose the novel Trust of Information (ToI) concept, which can be applied to quantify the reliability of BSMs in terms of their importance. Through simulations, a ToI-based BSM rate adaptation algorithm is compared with recent BSM rate adaptation schemes, demonstrating that the ToI algorithm outperforms the scheme in terms of safety assurance. | - |
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