2020 16th International Conference on Mobility, Sensing and Networking (MSN)最新文献_第6页

Research on D2D Data Transmission Protocol in NDN NDN中D2D数据传输协议的研究

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00068

Bo Cui, Xinmiao Jian, Qi Chen

{"title":"Research on D2D Data Transmission Protocol in NDN","authors":"Bo Cui, Xinmiao Jian, Qi Chen","doi":"10.1109/MSN50589.2020.00068","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00068","url":null,"abstract":"Named Data Networking (NDN) is a new revolutionary network architecture and a research hotspot of next generation Internet. As a key candidate technology for 5G, D2D communication technology has attracted much attention. Data sharing is the main application of D2D communication, and data transmission is the core of data sharing. At present, there are few researches on D2D data transmission in NDN data sharing. The researches mainly focus on dataset synchronization and distributed file transmission. In addition, the existing data sharing protocol in NDN shows lower efficiency when directly applied to D2D data transmission. According to the main factors that affect the efficiency of data transmission in D-ChronoChat running in NDN, we design three optimized D2D data transmission protocols, and implement the prototype system. In order to evaluate the performance of each protocol and the main factors affecting the performance, we test the transmission delay of each protocol. The test results show that the Multi Threads Batch Packets (MTBP) protocol shows the best performance among the three optimized data transmission protocols. In MTBP, the data transmission rate can reach 6Mbps, nearly 7.4 times higher than the Single Thread Individual Packet protocol (STIP) in D-ChronoChat.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"4 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":"129834486","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

SSR: Joint Optimization of Recommendation and Adaptive Bitrate Streaming for Short-form Video Feed SSR:短视频源推荐与自适应比特率流的联合优化

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00074

Dezhi Ran, Yuanxing Zhang, Wenhan Zhang, Kaigui Bian

{"title":"SSR: Joint Optimization of Recommendation and Adaptive Bitrate Streaming for Short-form Video Feed","authors":"Dezhi Ran, Yuanxing Zhang, Wenhan Zhang, Kaigui Bian","doi":"10.1109/MSN50589.2020.00074","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00074","url":null,"abstract":"Short-form video feed has become one of the most popular ways for billions of users to interact with content, where users watch short-form videos of a few seconds one-by-one in a session. The common solution to improve the quality of experience (QoE) for short-form video feed is to treat it as a common sequential item recommendation problem and maximize its click-through rate prediction. However, the QoE of short-form video streaming under dynamic network conditions is jointly determined by both recommendation accuracy and streaming efficiency, and thus merely considering recommendation will lead to the degradation of the QoE of the streaming system for the audience. In this paper, we propose SSR, namely the short-form video streaming and recommendation system, which consists of a Transformer-based recommendation module and a reinforcement learning (RL) based bitrate adaptation streaming module. Specifically, we use Transformer to encode the session into a representation vector and recommend proper short-form videos based on the user’s recent interest and the timeliness characteristics of short-form video contents. Then, the RL module combines the representation of session and other observations within the playback, and yields the appropriate bitrate allocation for the next short-form video to optimize a given QoE objective. Trace-driven emulations verify the efficiency of SSR compared to several state-of-the-art recommender systems and streaming strategies with at least 10%-15% QoE improvement under various QoE objectives.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"1 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":"130181220","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: 3

Community Preference-Based Information-Centric Networking Cache 基于社区偏好的信息中心网络缓存

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00109

X. Yang, Chaofeng Zhang, Caijuan Chen, Haozhe Liang

引用次数: 1

[Copyright notice] (版权)

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/msn50589.2020.00003

引用次数: 0

A Centralized Controller for Reliable and Available Wireless Schedules in Industrial Networks 工业网络中可靠可用无线调度的集中控制器

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00018

R. Koutsiamanis, Georgios Z. Papadopoulos, B. Quoitin, N. Montavont

{"title":"A Centralized Controller for Reliable and Available Wireless Schedules in Industrial Networks","authors":"R. Koutsiamanis, Georgios Z. Papadopoulos, B. Quoitin, N. Montavont","doi":"10.1109/MSN50589.2020.00018","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00018","url":null,"abstract":"This paper describes our work on a flexible centralized controller for scheduling wireless networks. The context of this work encompasses wireless networks within the wider Internet of Things (IoT) field and in particular addresses the requirements and limitations within the narrower Industrial Internet of Things (IIoT) sub-field. The overall aim of this work is to produce wireless networking solutions for industrial applications. The challenges include providing high reliability and low latency guarantees, comparable to existing wired solutions, within a noisy wireless medium and using generally computationally- and energy-restrained network nodes. We describe the development of a centralized controller for Wireless Industrial Networks, currently aimed at IEEE Std 802.15.4-2015 Time Slotted Channel Hopping protocol. Our controller takes a high-level network-centric problem description as input, translates it to a low-level representation and uses that to retrieve a solution from a Satisfiability Modulo Theories (SMT) solver, translating the solution back to a higher-level network-centric representation. The advantages of our solution are the ability to gain the added flexibility, higher ease of deployment, and lower deployment cost offered by wireless networks by generating configurable and flexible schedules for these applications.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"9 Suppl 1 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":"131862060","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

Multivariate and Multi-frequency LSTM based Fine-grained Productivity Forecasting for Industrial IoT 基于多元多频LSTM的工业物联网细粒度生产力预测

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00058

Yan Zhang, Xiaolong Zheng, Liang Liu, Huadong Ma

{"title":"Multivariate and Multi-frequency LSTM based Fine-grained Productivity Forecasting for Industrial IoT","authors":"Yan Zhang, Xiaolong Zheng, Liang Liu, Huadong Ma","doi":"10.1109/MSN50589.2020.00058","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00058","url":null,"abstract":"Thanks to Industrial Internet of Things (IIoT), traditional industry is transforming to the fine and flexible production. To comprehensively control the dynamic industrial processes that includes marketing and production, accurate productivity is a vital factor that can reduce the idle operation and excessive pressure of the equipment. Due to increasing requirements of flexible control desired by IIoT, the productivity forecast also demands finer granularity. However, due to the neglect of multiple related factors and the ignorance of the multi-frequency characteristics of productivity, existing methods fail to provide accurate fine-grained productivity forecasting service for IIoT. To fill this gap, we propose a multivariate and multi-frequency Long Short-Term Memory model (mmLSTM) to predict the productivity in the granularity of day. mmLSTM takes equipment status and order as new supporting factors and leverages a multivariate LSTM to model their relationship to productivity. mmLSTM also integrate a multi-level wavelet decomposition network to thoroughly capture the multi-frequency features of productivity. We apply the proposed method in a real-world steel factory and conduct a comprehensive evaluation of performance with the productivity data in nearly two years. The result shows that our method can effectively improve the prediction accuracy and granularity of industrial productivity.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"11 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":"121775171","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

Throughput Maximization for UAV-Enabled Data Collection 吞吐量最大化为无人机启用的数据收集

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00076

Junchao Gong, Xiaojun Zhu, Lijie Xu

{"title":"Throughput Maximization for UAV-Enabled Data Collection","authors":"Junchao Gong, Xiaojun Zhu, Lijie Xu","doi":"10.1109/MSN50589.2020.00076","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00076","url":null,"abstract":"In this paper, we consider a scenario where an unmanned aerial vehicle (UAV) collects data from a set of nodes placed on a two-dimensional (2-D) plane. The UAV flies along a given line to collect data. To prevent transmission collisions, only one node is allowed to transmit data to the UAV at any time, and the number of nodes that can transmit data to the UAV cannot exceed a specified number to avoid frequent switches. The problem is to select a subset of nodes and schedule their transmission time to maximize the UAV’s throughput. After formulating the problem, we find that it is difficult to solve due to mixture of real variables and integer variables. We then propose to decompose the problem into subproblems, and give a polynomial time algorithm to solve each subproblem to optimality. We then get an exact algorithm by solving all subproblems. Unfortunately, due to an exponential number of subproblems, the overall running time is exponential with respect to the input size. We then propose two polynomial-time suboptimal algorithms to solve the problem, both of which explore a polynomial number of subproblems. Simulations show that the suboptimal algorithms perform comparably with the exponential-time exact algorithm, while the running time is much smaller.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"55 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":"121972251","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: 2

Efficient Algorithm for Multi-Constrained Opportunistic Wireless Scheduling 多约束机会无线调度的高效算法

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00040

Xiaohua Xu, Lixin Wang

{"title":"Efficient Algorithm for Multi-Constrained Opportunistic Wireless Scheduling","authors":"Xiaohua Xu, Lixin Wang","doi":"10.1109/MSN50589.2020.00040","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00040","url":null,"abstract":"The onset of wireless networks globally has thrust researchers in academia and industry to solve problems related to this ever-growing field. In this paper, we study the multi-constrained opportunistic wireless scheduling problem in cognitive radio networks. Given a collection of secondary user communication links, the channel state of each link is unknown due to the unpredictable primary users’ activities, but can be estimated by exploring the channel state transitions and channel state feedback. A scheduling algorithm is used to decide a subset of links to transmit each time with both interference-free constraints and power budget constraints. The objective of this paper is to design a scheduling algorithm to optimize the average reward over a long time horizon. Current existing approaches cannot satisfyingly provide solutions for the wireless opportunistic scheduling problem when considering multiple constraints. In this work, we adopt the paradigm of the restless multi-armed bandit and propose a fast and simple approximation algorithm. The performance of the proposed algorithm is verified with a small approximation bound for the multi-constrained wireless opportunistic wireless scheduling problem.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"45 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":"124768781","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

RF-WTI: Wood Types Identification based on Commodity RFID Devices 基于商品RFID设备的木材类型识别

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00069

Xiangmao Chang, Xianghui Zhang, Muhammad Waqas Isa, Weiwei Wu, Yan Li

引用次数: 0

A Game-Theoretical Approach for Task Offloading in Edge Computing 边缘计算任务卸载的博弈论方法

2020 16th International Conference on Mobility, Sensing and Networking (MSN) Pub Date : 2020-12-01 DOI: 10.1109/MSN50589.2020.00129

Juan Luo, Qian Qian, Luxiu Yin, Ying Qiao

{"title":"A Game-Theoretical Approach for Task Offloading in Edge Computing","authors":"Juan Luo, Qian Qian, Luxiu Yin, Ying Qiao","doi":"10.1109/MSN50589.2020.00129","DOIUrl":"https://doi.org/10.1109/MSN50589.2020.00129","url":null,"abstract":"Edge computing is envisioned as a prominent technology that provides high computing demand services by offloading computation-intensive and delay-sensitive task from mobile or Internet of Things(IoT) devices to nearby edge servers. However, more and more edge servers are deployed near the terminal devices. The uneven distribution of devices will lead to insufficient resource utilization of edge servers, so the social benefits of the edge computing system decrease. In this paper, we propose an effective task offloading strategy in the scenario of multi-users and multi-edge servers. Terminal devices broadcast task offloading request to edge servers, and the edge servers compete for tasks to improve their resource utilization. We use a non-cooperative game to describe the competition of edge servers, and model an optimization problem as the multi-edge servers resource allocation problem. We then design an iterative algorithm to solve the optimization problem and prove that the problem has an unique Nash equilibrium. Simulation results show that the proposed offloading strategy not only improves the resource utilization of edge servers, but also guarantees the demand of terminal devices.","PeriodicalId":447605,"journal":{"name":"2020 16th International Conference on Mobility, Sensing and Networking (MSN)","volume":"28 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":"127552927","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