2019 IEEE Global Communications Conference (GLOBECOM)最新文献

Optimal Offloading for Dynamic Compute-Intensive Applications in Wireless Networks 无线网络中动态计算密集型应用的最佳卸载

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013327

Bin Li

{"title":"Optimal Offloading for Dynamic Compute-Intensive Applications in Wireless Networks","authors":"Bin Li","doi":"10.1109/GLOBECOM38437.2019.9013327","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013327","url":null,"abstract":"With the rapid growth of wireless compute-intensive services (such as image recognition, real-time language translation, or other artificial intelligence applications), efficient wireless algorithm design should not only address when and which users should transmit at each time instance (referred to as wireless scheduling) but also determine where the computation should be executed (referred to as offloading decision) with the goal of minimizing both computing latency and energy consumption. Despite the presence of a variety of earlier works on the efficient offloading design in wireless networks, to the best of our knowledge, there does not exist a work on the realistic user- level dynamic model, where each incoming user demands a heavy computation and leaves the system once its computing request is completed. To this end, we formulate a problem of an optimal offloading design in the presence of dynamic compute-intensive applications in wireless networks. Then, we show that there exists a fundamental logarithmic energy- workload tradeoff for any feasible offloading algorithm, and develop an optimal threshold-based offloading algorithm that achieves this fundamental logarithmic bound.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"7 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73537551","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

An Efficient Privacy Preserving Computation of Multiset Intersection Cardinality 一种高效的多集相交基数隐私保护计算方法

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013167

Harmanjeet Kaur, Neeraj Kumar, J. Rodrigues

引用次数: 0

A Cooperative Drone Assisted Mobile Access Network for Disaster Emergency Communications 协同无人机辅助灾害应急通信移动接入网

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013813

Di Wu, Xiang Sun, N. Ansari

引用次数: 13

SDN Security: Information Disclosure and Flow Table Overflow Attacks SDN安全:信息泄露和流表溢出攻击

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014048

Aditya Patwardhan, Deepthi Jayarama, Nitish Limaye, Shivaji Vidhale, Zarna Parekh, K. Harfoush

引用次数: 8

An Efficient Freeway Driving Assistance Protocol in Vehicular Networks 一种高效的高速公路车辆网络驾驶辅助协议

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9014104

Maram Bani Younes, A. Boukerche, Rodolfo W. L. Coutinho

{"title":"An Efficient Freeway Driving Assistance Protocol in Vehicular Networks","authors":"Maram Bani Younes, A. Boukerche, Rodolfo W. L. Coutinho","doi":"10.1109/GLOBECOM38437.2019.9014104","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9014104","url":null,"abstract":"Freeways have been known over decades as high-speed multi-lane roads, where the opposite traffic directions are completely separated. No intersections, pedestrians, or bicycles are expected on these road scenarios, besides specific ramps are designed to facilitate the entrance and exit of vehicles. Although freeway driving is considered safer and faster for experienced drivers, it can be more demanding and difficult for fresh or exhausted ones. Entering and existing the freeway road are considered the most critical situations where the driver needs to achieve high synchronizations with the surrounding traffic there. In this work, we introduce a freeway driving assistance protocol for drivers aiming to reduce the difficulties for fresh drivers and enhance the safety and efficiency conditions over the freeway road scenarios. This proposed protocol can also be used by the autonomous vehicles where no drivers control the vehicle. We evaluate the performance of the proposed protocol using several simulated driving scenarios. It shows a good performance in terms of increasing the safety of traffic and smoothing the traffic speed of vehicles.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"102 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75795523","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

Mc-Track: A Cloud Based Data Oriented Vehicular Tracking System with Adaptive Security Mc-Track:一种基于云的自适应安全数据导向车辆跟踪系统

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013977

Abdellah Kaci, A. Rachedi

引用次数: 7

AP-Assisted Online Task Assignment for Mobile Crowdsensing 移动众测的ap辅助在线任务分配

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013513

Shuo Peng, Wei Gong, Baoxian Zhang, Cheng Li

{"title":"AP-Assisted Online Task Assignment for Mobile Crowdsensing","authors":"Shuo Peng, Wei Gong, Baoxian Zhang, Cheng Li","doi":"10.1109/GLOBECOM38437.2019.9013513","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013513","url":null,"abstract":"With the widespread of smart devices, mobile crowdsensing has become an attractive way to perceive and collect sensing data. In this paper, we focus on studying AP-assisted task assignment in mobile crowdsensing. The objective is to effectively reduce the average or worst-case makespan of tasks. We focus on a scenario that a task requester needs the assistance of mobile users for task accomplishment while they can meet directly or via APs in an opportunistic manner. We model the crowdsensing system and then formulate the problems under study. We then propose an AP-assisted average makespan sensitive online task assignment (AP-AOTA) algorithm and an AP-assisted largest makespan sensitive online task assignment (AP-LOTA) algorithm. In the proposed algorithms, task assignment at each step considers both the inter-encountering time between requester and each user and that between them while going through APs. We present design details of the proposed algorithms. We derive their computational complexities to be $O(mn^2)$, where $m$ is the number of tasks and $n$ is the number of users. Finally, trace-driven simulation results show that the proposed algorithms outperform existing work.","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"32 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74549493","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: 4

BSA: Enhancing Attribute-Based Encryption in Cloud Computing with Decentralized Specification BSA:用分散规范增强云计算中基于属性的加密

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013832

Peiyao Li, Heyang Cao, Mingsheng Wang

引用次数: 2

Smart Grid Energy Management Using RNN-LSTM: A Deep Learning-Based Approach 基于RNN-LSTM的智能电网能源管理:基于深度学习的方法

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013850

D. Kaur, Rahul Kumar, Neeraj Kumar, M. Guizani

{"title":"Smart Grid Energy Management Using RNN-LSTM: A Deep Learning-Based Approach","authors":"D. Kaur, Rahul Kumar, Neeraj Kumar, M. Guizani","doi":"10.1109/GLOBECOM38437.2019.9013850","DOIUrl":"https://doi.org/10.1109/GLOBECOM38437.2019.9013850","url":null,"abstract":"With the rapid increase in the energy demands from different sectors across the globe, there is lot of pressure on the power grid to maintain a balance between the demand and supply. In this context, smart grid (SG) may play a vital role as it provides the bidirectional energy flow between utilities and end users. Contrary to the traditional power grid, it has advanced switching and sensing devices (for example, sensors and actuators) for load balancing and peak shaving. In SG systems, various smart devices and electrical appliances which are placed in the smart buildings regularly generate data related to energy usage, occupancy patterns, or movements of the end users. By applying an efficient data pre-processing and data analytics technique, this data can be analyzed to extract important energy patterns which can be used in demand response management, load forecasting, and peak shaving. But, one of the main challenges in SG systems is to have an integrated approach to pre-process and analyze the data with minimum error rates and higher accuracy. To tackle the aforementioned challenges, an unified scheme based upon the deep learning and recurrent neural networks (RNN) is proposed in this paper. The data collected from smart homes is pre-processed and decomposed using high-order singular value decomposition (HOSVD) and then long short-term memory (LSTM) model is applied on it. As the data collected from SG is time series-based data so LSTM based regression model gives minimum root mean square (RMSE) and mean absolute percentage error (MAPE) values as compared to the other techniques reported in the literature. A case study of 112 smart homes with hourly basis data is considered for evaluation of the proposed scheme in which energy patterns are predicted with least RMSE and MAPE. The results obtained clearly show that the proposed scheme has superior performance in comparison to the other existing schemes","PeriodicalId":6868,"journal":{"name":"2019 IEEE Global Communications Conference (GLOBECOM)","volume":"3 1","pages":"1-6"},"PeriodicalIF":0.0,"publicationDate":"2019-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73262008","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: 17

Slice Scheduling with QoS-Guarantee Towards 5G 面向5G的qos保证分片调度

2019 IEEE Global Communications Conference (GLOBECOM) Pub Date : 2019-12-01 DOI: 10.1109/GLOBECOM38437.2019.9013258

Robert Schmidt, Chia-Yu Chang, N. Nikaein

引用次数: 15