A Task Allocation Algorithm for AVSS in a Mobile Ad Hoc Cloud
- 주제(키워드) Mobile Ad Hoc Cloud
- 발행기관 고려대학교 대학원
- 지도교수 박명순
- 발행년도 2016
- 학위수여년월 2016. 8
- 학위구분 석사
- 학과 대학원 컴퓨터학과(정보대학)
- 원문페이지 45 p
- 실제URI http://www.dcollection.net/handler/korea/000000068765
- 본문언어 영어
- 제출원본 000045881663
초록/요약
Nowadays, automated video surveillance systems are becoming widely recognized as the next generation of smart and efficient surveillance systems able to monitor, analyze objects and persons’ behavior, for taking appropriate action. These systems found their application in numerous fields, such as transport, public places, battlefields and disaster relief, where the communication infrastructure is not always guaranteed to be available. For example in mobile ad hoc environment, mobile robots can be used to monitor and analyze the scene, and autonomously take necessary actions. However, this kind of application involve sophisticated real-time image and video processing schemes, that require high communication performance and powerful computing systems, with huge storage capacity, which cannot fulfil a single resource constraints mobile robot or mobile devices, such as smart phone, tablet, etc. To address this issue, there are two options. One is to send data to cloud for processing purpose that will result to high communication cost and energy consumption. While the second, enable mobile devices to collaborate with each other and share resources to create a virtual supercomputing called mobile ad hoc cloud computing. In this study, we present a framework that integrates automated videos surveillance systems into mobile ad hoc cloud environment. We also propose a task allocation scheme for automated video surveillance applications, which allocates tasks to nodes that can fulfill the deadline with less energy consumption.
more목차
1. INTRODUCTION
1.1. AUTOMATED VIDEO SURVEILLANCE SYSTEM
1.1.1. Concept and evolution of AVSS
1.1.2. Key tasks of AVSS
1.1.3. AVSS Applications
1.1.4. AVSS in mobile environment
1.2. MOBILE AD HOC CLOUD
1.2.1. Cloud Computing
1.2.2. Mobile Cloud Computing
1.2.3 Infrastructure-based Mobile Cloud
1.2.4 Mobile Ad Hoc Cloud
2. RELATED WORK
2.1. AUTOAMTED VIDEO SURVEILLANCE SYSTEM
2.2. TASK ALLOCATION SCHEME
3. INTEGRATION OF AVSS AND MOBILE AD HOC CLOUD
3.1. AUTOMATED VIDEO SURVEILLANCE SYSTEM MODEL
3.2. MOBILE AD HOC CLOUD MODEL
4. PROPOSED TASK ALLOCATION ALGORITHM
4.1 NOTATION
4.2 COST ESTIMATION MODELS
4.3 TASK ALLOCATION ALGORITHM
5. EXPERIMENT
5.1 EXPERIMENT SETTING
5.2 EXPERIMENT RESULT
6. CONCLUSION AND FUTUREWORK
REFERENCE
