2020 16th International Conference on Mobility, Sensing and Networking (MSN)最新文献_第2页

AINSC 2020 Workshop

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/msn50589.2020.00011

引用次数: 0

ECAISS 2020 Workshop

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/msn50589.2020.00012

引用次数: 0

Efficient Service Entity Chain Placement in Mobile Edge Computing 移动边缘计算中高效的服务实体链布局

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00042

Yung-Shiuan Liang, Jidong Ge, Shenmin Zhang, Changan Niu, Wei Song, B. Luo

引用次数: 1

Subject-adaptive Skeleton Tracking with RFID 主体自适应骨骼跟踪与射频识别

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00098

Chao Yang, Xuyu Wang, S. Mao

{"title":"Subject-adaptive Skeleton Tracking with RFID","authors":"Chao Yang, Xuyu Wang, S. Mao","doi":"10.1109/MSN50589.2020.00098","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00098","url":null,"abstract":"With the rapid development of computer vision, human pose tracking has attracted increasing attention in recent years. To address the privacy concerns, it is desirable to develop techniques without using a video camera. To this end, RFID tags can be used as a low-cost wearable sensor to provide an effective solution for 3D human pose tracking. User adaptability is another big challenge in RF based pose tracking, i.e., how to use a well-trained model for untrained subjects. In this paper, we propose Cycle-Pose, a subject-adaptive realtime 3D human pose estimation system, which is based on deep learning and assisted by computer vision for model training. In Cycle-Pose, RFID phase data is calibrated to effectively mitigate the severe phase distortion, and High Accuracy LowRank Tensor Completion (HaLRTC) is employed to impute missing RFID data. A cycle kinematic network is proposed to remove the restriction on paired RFID and vision data for model training. The resulting system is subject-adaptive, achieved by learning to transform the RFID data into a human skeleton for different subjects. A prototype system is developed with commodity RFID tags/devices and evaluated with experiments. Compared with a traditional system RFIDPose, higher pose estimation accuracy and subject adaptability are demonstrated by Cycle-Pose in our experiments using Kinect 2.0 data as ground truth.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"47 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127329000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

MEC-Assisted FoV-Aware and QoE-Driven Adaptive 360° Video Streaming for Virtual Reality 虚拟现实中mec辅助视场感知和qos驱动的自适应360°视频流

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00056

Chih-Ho Hsu

{"title":"MEC-Assisted FoV-Aware and QoE-Driven Adaptive 360° Video Streaming for Virtual Reality","authors":"Chih-Ho Hsu","doi":"10.1109/MSN50589.2020.00056","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00056","url":null,"abstract":"Virtual reality (VR) has been envisioned as the killer-application in the 5G mobile networks. Among numerous VR services, 360° video streaming is the most promising one. Nevertheless, its wide adoption is hindered by large latency incurred in cloud-based video delivery and insufficient bandwidth resource in Radio Access Network (RAN). Fortunately, the emergence of Multi-access Edge Computing (MEC) become an enabler to fulfill the potential of VR by providing caching and computing resources at network edges. Also, since a user can view only a part of the entire 360° video frame due to the limitation of eye vision, users’ Quality of Experience (QoE) can be further enhanced if we can predict his Field of View (FoV). In this paper, we propose a novel MEC-assisted FoV-aware and QoE-driven Adaptive Streaming (MFQAS) scheme for 360° videos. Specifically, we first provide a comprehensive QoE model for 360° video streaming. Second, we adopt AutoRegression Moving Average (ARMA) model in FoV prediction. Finally, we propose a heuristic algorithm to optimize the caching and computing decision at MEC server based on predicted FoV so that users’ QoE can be enhanced. The simulation results show that our proposed method can provide much better prediction accuracy and QoE compared with baseline algorithms.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125297127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 6

An Efficient Data Aggregation Scheme with Local Differential Privacy in Smart Grid 智能电网中具有局部差分隐私的高效数据聚合方案

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00027

Na Gai, Kaiping Xue, Peixuan He, Bin Zhu, Jianqing Liu, D. He

{"title":"An Efficient Data Aggregation Scheme with Local Differential Privacy in Smart Grid","authors":"Na Gai, Kaiping Xue, Peixuan He, Bin Zhu, Jianqing Liu, D. He","doi":"10.1109/MSN50589.2020.00027","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00027","url":null,"abstract":"Smart grid achieves reliable, efficient and flexible grid data processing by integrating traditional power grid with information and communication technology. The control center can evaluate the supply and demand of the power grid through aggregated data of users, and then dynamically adjust the power supply, price of the power, etc. However, since the grid data collected from users may disclose the user’s electricity using habits and daily activities, the privacy concern has become a critical issue. Most of the existing privacy-preserving data collection schemes for smart grid adopt homomorphic encryption or randomization techniques which are either impractical because of the high computation overhead or unrealistic for requiring the trusted third party. In this paper, we propose a privacy-preserving smart grid data aggregation scheme satisfying local differential privacy (LDP) based on randomized response. Our scheme can achieve efficient and practical estimation of the statistics of power supply and demand while preserving any individual participant’s privacy. The performance analysis shows that our scheme is efficient in terms of computation and communication overhead.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125383151","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 18

Design and Analysis of Decentralized Interactive Cyber Defense Approach based on Multi-agent Coordination 基于多智能体协调的分散交互网络防御方法设计与分析

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00110

Ming Liu, Lu Ma, Chao Li, Weiling Chang, Yuanjie Wang, Jianming Cui, Yingying Ji

{"title":"Design and Analysis of Decentralized Interactive Cyber Defense Approach based on Multi-agent Coordination","authors":"Ming Liu, Lu Ma, Chao Li, Weiling Chang, Yuanjie Wang, Jianming Cui, Yingying Ji","doi":"10.1109/MSN50589.2020.00110","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00110","url":null,"abstract":"Since the current cyberspace is becoming changeable and complex over times, the situation of cyber security is becoming increasingly severe, and one of the important issues is that there is still lack of a general applicability defense model for open and dynamic networks. Recent research suggests that the evolutionary game methods have the advantage of improving the defensive capabilities based on the internal decision and learning mechanisms. In this paper, by exploiting the advantage of collaborative decision-making in multi-agent system, we constructed the dynamic cyber defense problem into a decentralized multi-agent cooperative decision framework, whose core idea is the initiative decentralized interactions among defense agents. Then, we contributed a heuristic imprecise probabilistic based interaction decision algorithm, HIDS, that is, which utilizes the multidimensional semantic relevance among observation, tasks and agents, so that agents can continuously improve cognition and optimize decision-making by learning interactive records. In addition, we analyzed the equivalence and the transformation conditions between the proposed model and the existing decision models, and combined the evolutionary game with the nonlinear stochastic theory, then the evolution process of the defense policies are analyzed. Finally, the performance comparison of the proposed algorithm and the influence of different intensity random disturbances on the evolution process are analyzed.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125408737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Lifetime Improvements of Smart Sensors Maintenance Protocol in Prospect of IoT-based Rampal Power Plant 基于物联网的Rampal电厂智能传感器维护协议的寿命改进

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00052

Syed Bilal Hussain Shah, Lei Wang, Md. Ershadul Haque, Md Jahirul Islam, Anil Carie, Neeraj Kumar

{"title":"Lifetime Improvements of Smart Sensors Maintenance Protocol in Prospect of IoT-based Rampal Power Plant","authors":"Syed Bilal Hussain Shah, Lei Wang, Md. Ershadul Haque, Md Jahirul Islam, Anil Carie, Neeraj Kumar","doi":"10.1109/MSN50589.2020.00052","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00052","url":null,"abstract":"In the 21st century, the power quality and availability with customer demands to the society is the main challenging factor right now. Therefore, the gird monitoring system become a vital issue to monitor power grid system. The current smart grid system mainly focuses on smart metering system and improving the customer utility communication system. On customer management side, although those advancement provides an extra benefit, in spite of, the management of a grid system is one of the major dominating field in the era of Internet of Thing (IoT). From the field of industry and academia researches, Wireless sensor networks (WSNs) is getting to much popularity for monitoring power grid. Moreover, saving node energy enhance the lifespan of whole monitoring network. Due to lack of energy making policy, unnecessary activating all participate nodes consume node energy drastically, which is the main reason for shortening the lifetime of monitoring system. To solve this issue, maintenance technology provides the best opportunity to preserve node energy. This study investigates the issues that are associated with energy consumption using maintenance protocols in prospect of Rampal, Bangladesh power plant data. The modelling data has been collected through literature survey. Extensive simulation work has done for monitoring Rampal power using WSN. Finally, a comparative study of maintenance protocols were performed to maintain optimal network correction and thereafter extending the lifetime of monitoring network.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123224933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multi-dimensional Impact Detection and Diagnosis in Cellular Networks 蜂窝网络中的多维碰撞检测与诊断

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00093

M. Qureshi, L. Qiu, A. Mahimkar, Jian He, Ghufran Baig

{"title":"Multi-dimensional Impact Detection and Diagnosis in Cellular Networks","authors":"M. Qureshi, L. Qiu, A. Mahimkar, Jian He, Ghufran Baig","doi":"10.1109/MSN50589.2020.00093","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00093","url":null,"abstract":"Performance impacts are commonly observed in cellular networks and are induced by several factors, such as software upgrade and configuration changes. The variability in traffic patterns across different granularities can lead to impact cancellation or dilution. As a result, performance impacts are hard to capture if not aggregated over problematic features. Analyzing performance impact across all possible feature combinations is too expensive. On the other hand, the set of features that causes issues is unpredictable due to the highly dynamic and heterogeneous cellular networks. In this paper, we propose a novel algorithm that dynamically explores those network feature combinations that are likely to have problems by using a summary structure Sketch. We further design a neural network based algorithm to localize root cause. We achieve high scalability in neural network by leveraging the Lattice and Sketch structure. We demonstrate the effectiveness of our impact detection and diagnosis through extensive evaluation using data collected from a major tier-1 cellular carrier in US and synthetic traces.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121324048","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

AcousticThermo: Temperature Monitoring Using Acoustic Pulse Signal 声热:使用声脉冲信号进行温度监测

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00114

Fusang Zhang, Kai Niu, Xiaolai Fu, Beihong Jin

引用次数: 3