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IEEE Network, Volume 32
Volume 32, Number 1, January - February 2018
- Nei Kato

, Mohsen Guizani:
Editor's Note. 3 - Xiaohua Tian:

Scanning the Literature. 4-5 - Ju Ren, Yi Pan

, Andrzej Goscinski, Raheem A. Beyah
:
Edge Computing for the Internet of Things. 6-7 - Beatriz Lorenzo

, Juan García-Rois, Xuanheng Li, Francisco Javier González-Castaño, Yuguang Fang
:
A Robust Dynamic Edge Network Architecture for the Internet of Things. 8-15 - Takuo Suganuma, Takuma Oide, Shinji Kitagami, Kenji Sugawara, Norio Shiratori:

Multiagent-Based Flexible Edge Computing Architecture for IoT. 16-23 - Ching-Han Chen, Ming-Yi Lin

, Chung-Chi Liu:
Edge Computing Gateway of the Industrial Internet of Things Using Multiple Collaborative Microcontrollers. 24-32 - Bowen Du, Runhe Huang, Zhipu Xie, Jianhua Ma, Weifeng Lv:

KID Model-Driven Things-Edge-Cloud Computing Paradigm for Traffic Data as a Service. 34-41 - Yiling Xu, Qiu Shen, Xin Li, Zhan Ma:

A Cost-Efficient Cloud Gaming System at Scale. 42-47 - Ling Tang, Shibo He:

Multi-User Computation Offloading in Mobile Edge Computing: A Behavioral Perspective. 48-53 - Xinchen Lyu, Hui Tian, Li Jiang, Alexey V. Vinel, Sabita Maharjan, Stein Gjessing, Yan Zhang:

Selective Offloading in Mobile Edge Computing for the Green Internet of Things. 54-60 - Xu Chen, Qian Shi, Lei Yang, Jie Xu:

ThriftyEdge: Resource-Efficient Edge Computing for Intelligent IoT Applications. 61-65 - Hongzhi Guo, Jiajia Liu

, Huiling Qin:
Collaborative Mobile Edge Computation Offloading for IoT over Fiber-Wireless Networks. 66-71 - Shichao Li, Ning Zhang

, Siyu Lin, Linghe Kong
, Ajay K. Katangur
, Muhammad Khurram Khan
, Minming Ni, Gang Zhu:
Joint Admission Control and Resource Allocation in Edge Computing for Internet of Things. 72-79 - Quan Yuan, Haibo Zhou, Jinglin Li, Zhihan Liu, Fangchun Yang, Xuemin Sherman Shen

:
Toward Efficient Content Delivery for Automated Driving Services: An Edge Computing Solution. 80-86 - Huazhong Liu, Laurence T. Yang, Man Lin, Dexiang Yin, Yimu Guo:

A Tensor-Based Holistic Edge Computing Optimization Framework for Internet of Things. 88-95 - He Li

, Kaoru Ota
, Mianxiong Dong:
Learning IoT in Edge: Deep Learning for the Internet of Things with Edge Computing. 96-101 - Roberto Morabito, Vittorio Cozzolino, Aaron Yi Ding, Nicklas Beijar, Jörg Ott:

Consolidate IoT Edge Computing with Lightweight Virtualization. 102-111 - Hao Yin, Dongchao Guo

, Kai Wang
, Zexun Jiang, Yongqiang Lyu, Ju Xing:
Hyperconnected Network: A Decentralized Trusted Computing and Networking Paradigm. 112-117 - Van Linh Nguyen

, Po-Ching Lin, Ren-Hung Hwang
:
MECPASS: Distributed Denial of Service Defense Architecture for Mobile Networks. 118-124 - Jackson He, Yaoxue Zhang, Ju Lu, Ming Wu, Fujin Huang:

Block-Stream as a Service: A More Secure, Nimble, and Dynamically Balanced Cloud Service Model for Ambient Computing. 126-132 - Jiahui Jin, Junzhou Luo, Yunhao Li, Runqun Xiong:

COAST: A Cooperative Storage Framework for Mobile Transparent Computing Using Device-to-Device Data Sharing. 133-139 - Di Zhang, Yuezhi Zhou, Yaoxue Zhang:

A Multi-Level Cache Framework for Remote Resource Access in Transparent Computing. 140-145 - Kehua Guo, Zhonghe Liang, Ronghua Shi, Chao Hu, Zuoyong Li:

Transparent Learning: An Incremental Machine Learning Framework Based on Transparent Computing. 146-151 - Bo Wang, Fengye Hu, Yanping Zhao, Terry N. Guo:

Anomaly Detection and Array Diagnosis in Wireless Networks with Multiple Antennas: Framework, Challenges and Tools. 152-159 - Lanshan Zhang, Linhui Sun, Wendong Wang, Jiangchuan Liu:

Unlocking the Door to Mobile Social VR: Architecture, Experiments and Challenges. 160-165 - Cong Wang, Xingliang Yuan

, Yong Cui, Kui Ren:
Toward Secure Outsourced Middlebox Services: Practices, Challenges, and Beyond. 166-171 - Wei Zhang, Xiaofei Liao, Peng Li, Hai Jin, Li Lin, Bing Bing Zhou:

Fine-Grained Scheduling in Cloud Gaming on Heterogeneous CPU-GPU Clusters. 172-178 - Elisa Rojas

:
From Software-Defined to Human-Defined Networking: Challenges and Opportunities. 179-185 - Wei Cheng, Jiguo Yu, Feng Zhao, Xiuzhen Cheng:

SSDNet: Small-World Super-Dense Device-to-Device Wireless Networks. 186-192
Volume 32, Number 2, March - April 2018
- Mohsen Guizani:

Editor's Note. 2 - Xiaohua Tian:

Scanning the Literature. 4-5 - David Soldani, Y. Jay Guo, Bernard Barani, Preben Mogensen, Chih-Lin I, Sajal K. Das:

5G for Ultra-Reliable Low-Latency Communications. 6-7 - Guillermo Pocovi, Hamidreza Shariatmadari, Gilberto Berardinelli

, Klaus I. Pedersen, Jens Steiner, Zexian Li:
Achieving Ultra-Reliable Low-Latency Communications: Challenges and Envisioned System Enhancements. 8-15 - Petar Popovski

, Jimmy Jessen Nielsen
, Cedomir Stefanovic
, Elisabeth de Carvalho, Erik G. Ström, Kasper F. Trillingsgaard, Alexandru-Sabin Bana
, Dong-Min Kim, Radoslaw Kotaba, Jihong Park
, René B. Sørensen
:
Wireless Access for Ultra-Reliable Low-Latency Communication: Principles and Building Blocks. 16-23 - Joachim Sachs

, Gustav Wikström, Torsten Dudda, Robert Baldemair, Kittipong Kittichokechai:
5G Radio Network Design for Ultra-Reliable Low-Latency Communication. 24-31 - Jaya Rao, Sophie Vrzic:

Packet Duplication for URLLC in 5G: Architectural Enhancements and Performance Analysis. 32-40 - Hyun-Seo Park, Yuro Lee, Tae-Joong Kim, Byung-Chul Kim, Jae Yong Lee

:
Handover Mechanism in NR for Ultra-Reliable Low-Latency Communications. 41-47 - Ingo Viering, Henrik Martikainen, Andreas Lobinger, Bernhard Wegmann:

Zero-Zero Mobility: Intra-Frequency Handovers with Zero Interruption and Zero Failures. 48-54 - Amitav Mukherjee:

Energy Efficiency and Delay in 5G Ultra-Reliable Low-Latency Communications System Architectures. 55-61 - Yulin Hu

, Mustafa Cenk Gursoy, Anke Schmeink:
Relaying-Enabled Ultra-Reliable Low-Latency Communications in 5G. 62-68 - Gordon J. Sutton

, Jie Zeng, Ren Ping Liu
, Wei Ni
, Diep N. Nguyen
, Beeshanga Abewardana Jayawickrama, Xiaojing Huang
, Mehran Abolhasan
, Zhang Zhang:
Enabling Ultra-Reliable and Low-Latency Communications through Unlicensed Spectrum. 70-77 - Mohammed Saad ElBamby

, Cristina Perfecto
, Mehdi Bennis
, Klaus Doppler:
Toward Low-Latency and Ultra-Reliable Virtual Reality. 78-84 - Jens Pilz, Bernd Holfeld, Axel Schmidt, Konstantin Septinus:

Professional Live Audio Production: A Highly Synchronized Use Case for 5G URLLC Systems. 85-91 - Mowei Wang, Yong Cui, Xin Wang, Shihan Xiao, Junchen Jiang:

Machine Learning for Networking: Workflow, Advances and Opportunities. 92-99 - Shuai Han, Sai Xu, Weixiao Meng, Cheng Li

:
Dense-Device-Enabled Cooperative Networks for Efficient and Secure Transmission. 100-106 - Yan Huang, Yongce Chen, Y. Thomas Hou

, Wenjing Lou, Jeffrey H. Reed:
Recent Advances of LTE/WiFi Coexistence in Unlicensed Spectrum. 107-113 - Kaoru Ota

, Mianxiong Dong, Jinsong Gui, Anfeng Liu:
QUOIN: Incentive Mechanisms for Crowd Sensing Networks. 114-119 - Chih-Min Yu, En-Li Lin:

Reliable Formation Protocol for Bluetooth Hybrid Single-hop and Multi-hop Networks. 120-125 - Kaigui Bian, Gaoxiang Zhang, Lingyang Song:

Toward Secure Crowd Sensing in Vehicle-to-Everything Networks. 126-131 - Jie Wang, Qinhua Gao, Miao Pan, Yuguang Fang

:
Device-Free Wireless Sensing: Challenges, Opportunities, and Applications. 132-137 - Yuchao Zhang, Ke Xu, Haiyang Wang, Qi Li, Tong Li

, Xuan Cao:
Going Fast and Fair: Latency Optimization for Cloud-Based Service Chains. 138-143 - Jun-Bo Wang, Junyuan Wang, Yongpeng Wu, Jin-Yuan Wang, Huiling Zhu, Min Lin, Jiangzhou Wang:

A Machine Learning Framework for Resource Allocation Assisted by Cloud Computing. 144-151 - Fuhui Zhou

, Yongpeng Wu, Rose Qingyang Hu, Yuhao Wang, Kai-Kit Wong:
Energy-Efficient NOMA Enabled Heterogeneous Cloud Radio Access Networks. 152-160
Volume 32, Number 3, May / June 2018
- Xiaohua Tian:

Scanning the Literature. 2 - Hongwei Li, Rongxing Lu, Jelena V. Misic, Mohamed Mahmoud:

Security and Privacy of Connected Vehicular Cloud Computing. 4-6 - Kaiping Xue

, Jianan Hong, Yongjin Ma, David S. L. Wei, Peilin Hong, Nenghai Yu:
Fog-Aided Verifiable Privacy Preserving Access Control for Latency-Sensitive Data Sharing in Vehicular Cloud Computing. 7-13 - Yixian Yang, Xinxin Niu, Lixiang Li, Haipeng Peng:

A Secure and Efficient Transmission Method in Connected Vehicular Cloud Computing. 14-19 - Liehuang Zhu, Chuan Zhang, Chang Xu

, Kashif Sharif
:
RTSense: Providing Reliable Trust-Based Crowdsensing Services in CVCC. 20-26 - Qi Jiang

, Jianbing Ni, Jianfeng Ma, Li Yang, Xuemin Shen
:
Integrated Authentication and Key Agreement Framework for Vehicular Cloud Computing. 28-35 - Jun Shao, Guiyi Wei:

Secure Outsourced Computation in Connected Vehicular Cloud Computing. 36-41 - Sahil Garg, Amritpal Singh, Shalini Batra, Neeraj Kumar

, Laurence T. Yang:
UAV-Empowered Edge Computing Environment for Cyber-Threat Detection in Smart Vehicles. 42-51 - Kai Fan, Xin Wang, Katsuya Suto

, Hui Li, Yintang Yang:
Secure and Efficient Privacy-Preserving Ciphertext Retrieval in Connected Vehicular Cloud Computing. 52-57 - Xiangxue Li, Yu Yu, Guannan Sun, Kefei Chen:

Connected Vehicles' Security from the Perspective of the In-Vehicle Network. 58-63 - Ping Dong, Tao Zheng, Xiaojiang Du, Hongke Zhang, Mohsen Guizani:

SVCC-HSR: Providing Secure Vehicular Cloud Computing for Intelligent High-Speed Rail. 64-71 - Abdulrahman Alamer, Yong Deng, Guiyi Wei, Xiaodong Lin:

Collaborative Security in Vehicular Cloud Computing: A Game Theoretic View. 72-77 - Hong Liu, Yan Zhang, Tao Yang:

Blockchain-Enabled Security in Electric Vehicles Cloud and Edge Computing. 78-83 - Yuan Wu, Li Ping Qian

, Haowei Mao, Xiaowei Yang, Haibo Zhou, Xiaoqi Tan, Danny H. K. Tsang:
Secrecy-Driven Resource Management for Vehicular Computation Offloading Networks. 84-91 - Ming Ding

, David López-Pérez, Holger Claussen
, Mohamed Ali Kâafar
:
On the Fundamental Characteristics of Ultra-Dense Small Cell Networks. 92-100 - Igor Bisio, Chiara Garibotto

, Aldo Grattarola, Fabio Lavagetto, Andrea Sciarrone:
Exploiting Context-Aware Capabilities over the Internet of Things for Industry 4.0 Applications. 101-107 - Wei Zhao, Jiajia Liu

, Hongzhi Guo, Takahiro Hara:
ETC-IoT: Edge-Node-Assisted Transmitting for the Cloud-Centric Internet of Things. 101-107 - Yadong Zhou, Ximi Wang, Junjie Zhang, Peng Zhang, Lili Liu, Huan Jin, Hongbo Jin:

Analyzing and Detecting Money-Laundering Accounts in Online Social Networks. 115-121 - Yuxuan Jiang, Zhe Huang, Danny H. K. Tsang:

Challenges and Solutions in Fog Computing Orchestration. 122-129 - Weisen Shi, Haibo Zhou, Junling Li, Wenchao Xu, Ning Zhang

, Xuemin Shen
:
Drone Assisted Vehicular Networks: Architecture, Challenges and Opportunities. 130-137 - Wei Wang, Lin Yang, Qian Zhang

, Tao Jiang:
Configurations and Diagnosis for Ultra-Dense Heterogeneous Networks: From Empirical Measurements to Technical Solutions. 138-145 - Yuanxing Zhang

, Zhuqi Li, Chengliang Gao, Kaigui Bian, Lingyang Song, Shaoling Dong, Xiaoming Li:
Mobile Social Big Data: WeChat Moments Dataset, Network Applications, and Opportunities. 146-153 - Beeshanga Abewardana Jayawickrama, Ying He

, Eryk Dutkiewicz
, Markus Dominik Mueck:
Scalable Spectrum Access System for Massive Machine Type Communication. 154-160
Volume 32, Number 4, July / August 2018
- Mohsen Guizani:

Editor's Note. 2 - Xiaohua Tian:

Scanning the Literature. 4-5 - Hongzi Zhu, Yanyong Zhang, Mo Li, Ashwin Ashok, Kaoru Ota

:
Exploring Deep Learning for Efficient and Reliable Mobile Sensing. 6-7 - Yi Liang, Zhipeng Cai

, Jiguo Yu, Qilong Han, Yingshu Li
:
Deep Learning Based Inference of Private Information Using Embedded Sensors in Smart Devices. 8-14 - Bo Feng, Qiang Fu, Mianxiong Dong, Dong Guo, Qiang Li:

Multistage and Elastic Spam Detection in Mobile Social Networks through Deep Learning. 15-21 - Qingchen Zhang, Laurence T. Yang, Zhikui Chen, Peng Li:

A Dropconnect Deep Computation Model for Highly Heterogeneous Data Feature Learning in Mobile Sensing Networks. 22-27 - Zhe Peng

, Shang Gao
, Zecheng Li, Bin Xiao
, Yi Qian:
Vehicle Safety Improvement through Deep Learning and Mobile Sensing. 28-33 - Keke Gai

, Meikang Qiu:
Reinforcement Learning-based Content-Centric Services in Mobile Sensing. 34-39 - Zhidan Liu, Zhenjiang Li, Kaishun Wu

, Mo Li
:
Urban Traffic Prediction from Mobility Data Using Deep Learning. 40-46 - Dong Ren, Yizhuo Zhang

, Ning Xiao, Hao Zhou, Xiang-Yang Li, Jianwei Qian, Panlong Yang:
Word-Fi: Accurate Handwrite System Empowered by Wireless Backscattering and Machine Learning. 47-53 - Zhenyu Zhou, Haijun Liao, Bo Gu

, Kazi Mohammed Saidul Huq
, Shahid Mumtaz
, Jonathan Rodriguez:
Robust Mobile Crowd Sensing: When Deep Learning Meets Edge Computing. 54-60 - Shan Chang, Chao Li:

Privacy in Neural Network Learning: Threats and Countermeasures. 61-67 - Enzo Baccarelli, Michele Scarpiniti, Paola Gabriela Vinueza Naranjo, Leticia Vaca Cárdenas

:
Fog of Social IoT: When the Fog Becomes Social. 68-80 - Jelena V. Misic, M. Zulfiker Ali, Vojislav B. Misic:

Protocol Architectures for IoT Domains. 81-87 - Fu Xiao, Xiaohui Xie, Zhetao Li, Qingyong Deng, Anfeng Liu, Lijuan Sun:

Wireless Network Optimization via Physical Layer Information for Smart Cities. 88-93 - Weiqi Chen, Hua Yu, Quansheng Guan, Fei Ji, Fangjiong Chen:

Reliable and Opportunistic Transmissions for Underwater Acoustic Networks. 94-99 - Wei Gong, Baoxian Zhang, Cheng Li

:
Task Assignment in Mobile Crowdsensing: Present and Future Directions. 100-107 - Shang Gao

, Zecheng Li, Bin Xiao
, Guiyi Wei:
Security Threats in the Data Plane of Software-Defined Networks. 108-113 - Hsin-Peng Lin, Yuan-Yao Shih

, Ai-Chun Pang, Chun-Ting Chou:
Virtual Local-Hub: A Service Platform on the Edge of Networks for Wearable Devices. 114-121 - Ye Li

, Jue Wang, Shibing Zhang, Zhihua Bao, Jiangzhou Wang:
Efficient Coastal Communications with Sparse Network Coding. 122-128
Volume 32, Number 5, September / October 2018
- Mohsen Guizani:

Integration of Satellite and 5G Networks. 2 - Xiaohua Tian:

Scanning the Literature. 4-5 - Tomaso de Cola

, Ana I. Pérez-Neira, Channasandra Ravishankar, Stefan Covaci:
Guest Editorial. 6-8 - Luca Boero, Roberto Bruschi

, Franco Davoli
, Mario Marchese, Fabio Patrone:
Satellite Networking Integration in the 5G Ecosystem: Research Trends and Open Challenges. 9-15 - Rajeev Gopal, Nassir BenAmmar:

Framework for Unifying 5G and Next Generation Satellite Communications. 16-24 - Giovanni Giambene, Sastri Kota, Prashant Pillai:

Satellite-5G Integration: A Network Perspective. 25-31 - Yurui Cao, Hongzhi Guo, Jiajia Liu

, Nei Kato
:
Optimal Satellite Gateway Placement in Space-Ground Integrated Networks. 32-37 - Lin Bai, Lina Zhu, Xuejun Zhang, Wei Zhang, Quan Yu:

Multi-Satellite Relay Transmission in 5G: Concepts, Techniques, and Challenges. 38-44 - Xavier Artiga, Ana I. Pérez-Neira, Jorge Baranda, Eva Lagunas

, Symeon Chatzinotas
, Rudolf Zetik, Przemyslaw Gorski, Konstantinos Ntougias, David Perez, Georgios Ziaragkas:
Shared Access Satellite-Terrestrial Reconfigurable Backhaul Network Enabled by Smart Antennas at MmWave Band. 46-53 - Stefano Cioni

, Riccardo De Gaudenzi
, Oscar del Rio Herrero, Nicolas Girault:
On the Satellite Role in the Era of 5G Massive Machine Type Communications. 54-61 - Michal Vondra, Mustafa Özger

, Dominic Schupke, Cicek Cavdar:
Integration of Satellite and Aerial Communications for Heterogeneous Flying Vehicles. 62-69 - Roberto Verdone, Silvia Mignardi

:
Joint Aerial-Terrestrial Resource Management in UAV-Aided Mobile Radio Networks. 70-75 - Fabrizio Granelli, Riccardo Bassoli

:
Autonomic Mobile Virtual Network Operators for Future Generation Networks. 76-84 - Lu Wang

, Hailiang Yang
, Jinfeng Long, Kaishun Wu
, Jiming Chen:
Enabling Ultra-Dense UAV-Aided Network with Overlapped Spectrum Sharing: Potential and Approaches. 85-91 - Ruei-Hau Hsu, Jemin Lee, Tony Q. S. Quek

, Jyh-Cheng Chen:
Reconfigurable Security: Edge-Computing-Based Framework for IoT. 92-99 - Chunsheng Zhu, Victor C. M. Leung, Joel J. P. C. Rodrigues, Lei Shu

, Lei Wang, Huan Zhou:
Social Sensor Cloud: Framework, Greenness, Issues, and Outlook. 100-105 - Yunguo Guan, Jun Shao, Guiyi Wei, Mande Xie:

Data Security and Privacy in Fog Computing. 106-111 - Kai Wang

, Hao Yin, Wei Quan, Geyong Min:
Enabling Collaborative Edge Computing for Software Defined Vehicular Networks. 112-117 - Jiajie Zhang, Jian Weng

, Weiqi Luo, Jia-Nan Liu
, Anjia Yang
, Jiancheng Lin, Zhijun Zhang, Hailiang Li:
REMT: A Real-Time End-to-End Media Data Transmission Mechanism in UAV-Aided Networks. 118-123 - Ying-Dar Lin, Chih-Chiang Wang, Chien-Ying Huang, Yuan-Cheng Lai:

Hierarchical CORD for NFV Datacenters: Resource Allocation with Cost-Latency Tradeoff. 124-130 - Wenchao Xu, Haibo Zhou, Yuanguo Bi, Nan Cheng, Xuemin Shen

, Lakshmi V. Thanayankizil, Fan Bai:
Exploiting Hotspot-2.0 for Traffic Offloading in Mobile Networks. 131-137 - Xiaohui Zhao, Hanyang Ma, Yuan Jin, Jianguo Yao:

Measuring Instability of Mobility Management in Cellular Networks. 138-144
Volume 32, Number 6, November / December 2018
- Mohsen Guizani:

Editor's Note. 2 - Xiaohua Tian:

Scanning the Literature. 4-5 - Yan Zhang, Pascal Lorenz

:
AI for Network Traffic Control. 6-7 - Min Chen

, Yixue Hao
, Kai Lin, Zhiyong Yuan, Long Hu:
Label-less Learning for Traffic Control in an Edge Network. 8-14 - Nikita Lyamin

, Denis Kleyko
, Quentin Delooz, Alexey V. Vinel:
AI-Based Malicious Network Traffic Detection in VANETs. 15-21 - Peng Li, Zhikui Chen, Laurence T. Yang, Jing Gao, Qingchen Zhang, M. Jamal Deen

:
An Improved Stacked Auto-Encoder for Network Traffic Flow Classification. 22-27 - Yibo Zhou, Zubair Md Fadlullah

, Bomin Mao
, Nei Kato
:
A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks. 28-34 - Xiaohong Huang, Tingting Yuan

, Guanhua Qiao, Yizhi Ren:
Deep Reinforcement Learning for Multimedia Traffic Control in Software Defined Networking. 35-41 - Imad Alawe, Adlen Ksentini, Yassine Hadjadj-Aoul, Philippe Bertin:

Improving Traffic Forecasting for 5G Core Network Scalability: A Machine Learning Approach. 42-49 - Hao Zhu, Yang Cao, Wei Wang, Tao Jiang, Shi Jin:

Deep Reinforcement Learning for Mobile Edge Caching: Review, New Features, and Open Issues. 50-57 - Yu Fu, Sen Wang, Cheng-Xiang Wang

, Xuemin Hong, Steve McLaughlin
:
Artificial Intelligence to Manage Network Traffic of 5G Wireless Networks. 58-64 - Anish Jindal

, Gagangeet Singh Aujla, Neeraj Kumar
, Rajat Chaudhary, Mohammad S. Obaidat, Ilsun You:
SeDaTiVe: SDN-Enabled Deep Learning Architecture for Network Traffic Control in Vehicular Cyber-Physical Systems. 66-73 - Feng Lyu

, Nan Cheng, Hongzi Zhu, Haibo Zhou, Wenchao Xu, Minglu Li, Xuemin Sherman Shen
:
Intelligent Context-Aware Communication Paradigm Design for IoVs Based on Data Analytics. 74-82 - Jian Shen, Tianqi Zhou, Kun Wang, Xin Peng, Li Pan:

Artificial Intelligence Inspired Multi-Dimensional Traffic Control for Heterogeneous Networks. 84-91 - Jun Xu, Kaishun Wu

:
Living with Artificial Intelligence: A Paradigm Shift toward Future Network Traffic Control. 92-99 - Alejandro Canovas

, José Miguel Jiménez
, Óscar Romero
, Jaime Lloret:
Multimedia Data Flow Traffic Classification Using Intelligent Models Based on Traffic Patterns. 100-107 - Jie Feng, Xinlei Chen, Rundong Gao, Ming Zeng, Yong Li:

DeepTP: An End-to-End Neural Network for Mobile Cellular Traffic Prediction. 108-115 - Adlen Ksentini, Pantelis A. Frangoudis, Amogh PC, Navid Nikaein:

Providing Low Latency Guarantees for Slicing-Ready 5G Systems via Two-Level MAC Scheduling. 116-123 - Huhnkuk Lim, Alexander Ni, Dabin Kim, Young-Bae Ko, Susmit Shannigrahi

, Christos Papadopoulos:
NDN Construction for Big Science: Lessons Learned from Establishing a Testbed. 124-136 - Ju Ren, Yun-Di Guo, Deyu Zhang, Qingqing Liu, Yaoxue Zhang:

Distributed and Efficient Object Detection in Edge Computing: Challenges and Solutions. 137-143 - Hao Ren, Hongwei Li, Yuanshun Dai, Kan Yang

, Xiaodong Lin:
Querying in Internet of Things with Privacy Preserving: Challenges, Solutions and Opportunities. 144-151 - Jiao Zhang, Zenan Wang, Ningning Ma, Tao Huang

, Yunjie Liu:
Enabling Efficient Service Function Chaining by Integrating NFV and SDN: Architecture, Challenges and Opportunities. 152-159 - Nan Cheng, Feng Lyu

, Jiayin Chen, Wenchao Xu, Haibo Zhou, Shan Zhang, Xuemin Sherman Shen
:
Big Data Driven Vehicular Networks. 160-167 - David Muelas, Javier Ramos, Jorge E. López de Vergara:

Assessing the Limits of Mininet-Based Environments for Network Experimentation. 168-176 - Xu Chen, Zhi Zhou, Weigang Wu, Di Wu, Junshan Zhang:

Socially-Motivated Cooperative Mobile Edge Computing. 177-183 - Feng Gao, Liehuang Zhu, Meng Shen, Kashif Sharif

, Zhiguo Wan, Kui Ren:
A Blockchain-Based Privacy-Preserving Payment Mechanism for Vehicle-to-Grid Networks. 184-192

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