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Issue 6 • Nov.-Dec.-2019
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Front Cover
Publication Year: 2019,Page(s):C1 - C1
Presents the front cover for this issue of the publication.Show More
Table of Contents
Publication Year: 2019,Page(s):1 - 2
Presents the table of contents for this issue of the publication.Show More
Enabling Networked Services and Technologies for Connected Healthcare
M. Shamim Hossain;Josu Bilbao;Khalid Abualsaud;Kamel Tourki;Aboulmotaleb El Saddik
Publication Year: 2019,Page(s):6 - 7
Wearable 3.0: From Smart Clothing to Wearable Affective Robot
Jun Yang;Jun Zhou;Guangming Tao;Mubarak Alrashoud;Khaled N. Al Mutib;Muneer Al-Hammadi
Publication Year: 2019,Page(s):8 - 14
Cited by: Papers (24)
With the rapid development of science and technology and the accelerating pace of life, people's mental health problems have become increasingly prominent. Besides, traditional wearable technologies and affective computing technologies (i.e., Wearable 2.0 based on smart clothing) have been unable to meet the requirements brought by computation-intensive affective analysis and latency-sensitive aff...Show More
Wearable 3.0: From Smart Clothing to Wearable Affective Robot
Jun Yang;Jun Zhou;Guangming Tao;Mubarak Alrashoud;Khaled N. Al Mutib;Muneer Al-Hammadi
Year: 2019 | Volume: 33 | Issue: 6
AI-Enabled Emotion Communication
Yujie Li;Yinging Jiang;Daxin Tian;Long Hu;Huimin Lu;Zhiyong Yuan
Publication Year: 2019,Page(s):15 - 21
Cited by: Papers (27)
With the development of AI technology, the application of AI will greatly change and influence people's daily lives. While AI technology brings great convenience to people's lives, people have shifted their focus from the physical world to the spiritual world, so there is an increasing demand for emotional services. As a result, emotional AI systems and emotional calculation are favored by many sc...Show More
AI-Enabled Emotion Communication
Yujie Li;Yinging Jiang;Daxin Tian;Long Hu;Huimin Lu;Zhiyong Yuan
Year: 2019 | Volume: 33 | Issue: 6
Tactile-Internet-Based Telesurgery System for Healthcare 4.0: An Architecture, Research Challenges, and Future Directions
Publication Year: 2019,Page(s):22 - 29
Cited by: Papers (114)
Telesurgery in the 5G era has huge potential to deliver healthcare surgical services to remote locations using high-speed data transfer with a wireless communication channel. It provides benefits to society in view of its improved precision and accuracy to diagnose patients even from remote locations. However, the existing traditional telesurgery system has high communication latency and overhead,...Show More
Toward Smart Treatment Management for Personalized Healthcare
Publication Year: 2019,Page(s):30 - 36
Cited by: Papers (22)
A remarkable increase of personalized healthcare services has been powered by the broad implementation of the networks and their ramifications. The core value of using personalized healthcare systems is to create customized medical service offerings and establish interconnections between patients and physicians. However, the treatment delivery for individual patients is encountering a challenge in...Show More
EdgeLaaS: Edge Learning as a Service for Knowledge-Centric Connected Healthcare
Gaolei Li;Guangquan Xu;Arun Kumar Sangaiah;Jun Wu;Jianhua Li
Publication Year: 2019,Page(s):37 - 43
Cited by: Papers (26)
By introducing networking technologies and services into healthcare infrastructures (e.g., multimodal sensors and smart devices) that are deployed to supervise a person's health condition, the traditional healthcare system is being revolutionized toward knowledge-centric connected healthcare (KCCH), where persons will take their own responsibility for their healthcare in a knowledge- centric way. ...Show More
EdgeLaaS: Edge Learning as a Service for Knowledge-Centric Connected Healthcare
Gaolei Li;Guangquan Xu;Arun Kumar Sangaiah;Jun Wu;Jianhua Li
Year: 2019 | Volume: 33 | Issue: 6
Computing and Processing on the Edge: Smart Pathology Detection for Connected Healthcare
Publication Year: 2019,Page(s):44 - 49
Cited by: Papers (51)
With the progress of new generation wireless communication technology and machine learning algorithms to deal with big data, a variety of smart systems are realized to bring comfort to human life. Smart healthcare systems are one of the important developments recently. Such systems will become a necessary ingredient in our connected living. In this article, we propose a new smart pathology detecti...Show More
Applications of Backscatter Communications for Healthcare Networks
Furqan Jameel;Ruifeng Duan;Zheng Chang;Aleksi Liljemark;Tapani Ristaniemi;Riku Jantti
Publication Year: 2019,Page(s):50 - 57
Cited by: Papers (69)
Backscatter communication is expected to help in revitalizing the domain of healthcare through its myriad applications. From on-body sensors to in-body implants and miniature embeddable devices, there are many potential use cases that can leverage the miniature and low-powered nature of backscatter devices. However, the existing literature lacks a comprehensive study that provides a distilled revi...Show More
A Smartphone-Enabled Fall Detection Framework for Elderly People in Connected Home Healthcare
Mohammad Mehedi Hassan;Abdu Gumaei;Gianluca Aloi;Giancarlo Fortino;Mengchu Zhou
Publication Year: 2019,Page(s):58 - 63
Cited by: Papers (42)
In recent years, connected home healthcare, which involves multiple technologies such as wearable sensors, audio and video technology, and pervasive computing, has drawn attention for its ability to improve quality of life for elderly people. One of its most important services is fall detection. Falls represent a significant threat to the health and independence of adults older than 65. However, c...Show More
Intrusion Detection Based on Stacked Autoencoder for Connected Healthcare Systems
Daojing He;Qi Qiao;Yun Gao;Jiajia Zheng;Sammy Chan;Jinxiang Li;Nadra Guizani
Publication Year: 2019,Page(s):64 - 69
Cited by: Papers (44)
With the people-oriented medical concept gradually gaining popularity and the rapid development of sensor network technology, connected healthcare systems (CHSs) have been proposed to remotely monitor the physical condition of patients and the elderly. However, there are many security issues in these systems. Threats from inside and outside the systems, such as tampering with data, forging nodes, ...Show More
DeepFocus: Deep Encoding Brainwaves and Emotions with Multi-Scenario Behavior Analytics for Human Attention Enhancement
Publication Year: 2019,Page(s):70 - 77
Cited by: Papers (23)
Evaluation of the degree of attention has very important practical significance and application prospects in our lives. It plays considerably important functions in the fields of education, medical treatment, and automatic driving, and assists people in assessing psychological states automatically and gives early warning. However, there are some problems in the existing research, such as simplex d...Show More
Localization and Tracking for AUVs in Marine Information Networks: Research Directions, Recent Advances, and Challenges
Publication Year: 2019,Page(s):78 - 85
Cited by: Papers (21)
In marine information networks, localization information is crucial for AUVs to label their collected data as well as to support intelligent auto-navigation or timely remote control. However, the extremely hostile underwater environments impose a number of challenges on designing AUV localization and tracking algorithms that can strike flexible balances among energy, accuracy, and practicability. ...Show More
Localization and Data Collection in AUV-Aided Underwater Sensor Networks: Challenges and Opportunities
Ruoyu Su;Dengyin Zhang;Cheng Li;Zijun Gong;R. Venkatesan;Fan Jiang
Publication Year: 2019,Page(s):86 - 93
Cited by: Papers (55)
With the fast growing demand for underwater applications such as marine environmental monitoring, undersea resource exploration, disaster prevention and monitoring, assisted localization and navigation, and security monitoring, the IoUT is proposed to enable a new network framework to connect underwater smart things in rivers and oceans. Conventional UWSNs are perceived as the fundamental infrastr...Show More
Enabling Efficient Service Function Chains at Terrestrial-Satellite Hybrid Cloud Networks
Bohao Feng;Guanglei Li;Guanwen Li;Yuming Zhang;Huachun Zhou;Shui Yu
Publication Year: 2019,Page(s):94 - 99
Cited by: Papers (18)
The great improvements in both satellite and terrestrial networks have motivated the academic and industrial communities to rethink their integration. As a result, there is an increasing interest in new-generation hybrid satellite-terrestrial networks, where sufficient flexibility should be enabled to deploy customized SFCs to satisfy the growing diversity of user needs. However, it is still chall...Show More
Monitoring and Data Analytics for Optical Networking: Benefits, Architectures, and Use Cases
L. Velasco;A. Chiado Piat;O. Gonzlez;A. Lord;A. Napoli;P. Layec;D. Rafique;A. D'Errico;D. King;M. Ruiz;F. Cugini;R. Casellas
Publication Year: 2019,Page(s):100 - 108
Cited by: Papers (63)
Operators' network management continuously measures network health by collecting data from the deployed network devices; data is used mainly for performance reporting and diagnosing network problems after failures, as well as by human capacity planners to predict future traffic growth. Typically, these network management tools are generally reactive and require significant human effort and skills ...Show More
An MDP-Based Wireless Energy Harvesting Decision Strategy for Mobile Device in Edge Computing
Publication Year: 2019,Page(s):109 - 115
Cited by: Papers (16)
Edge computing has been regarded as an ideal platform to provision computation and storage resources at the network edge thanks to its vast distribution and user proximity. Owing to such features, it is also promising to provision energy resources at the network edge via wireless energy transferring. With the consideration of the mobility of wireless devices and the diversity of charging attenuati...Show More
An MDP-Based Wireless Energy Harvesting Decision Strategy for Mobile Device in Edge Computing
Year: 2019 | Volume: 33 | Issue: 6
RAT Association for Autonomic IoT Systems
Sara Arabi;Hajar El Hammouti;Essaid Sabir;Halima Elbiaze;Mohammed Sadik
Publication Year: 2019,Page(s):116 - 123
Cited by: Papers (11)
The next generation of wireless communications consists of heterogeneous networks that operate over different technologies and standards. Co-existence of multiple technologies aims to enhance the network capacity in order to satisfy the increasing number of connected devices. However, in order to meet high performance, it is important to assign the right device to the right RAT. In this article, w...Show More
RAT Association for Autonomic IoT Systems
Sara Arabi;Hajar El Hammouti;Essaid Sabir;Halima Elbiaze;Mohammed Sadik
Year: 2019 | Volume: 33 | Issue: 6
UAV-Empowered Disaster-Resilient Edge Architecture for Delay-Sensitive Communication
Zeeshan Kaleem;Muhammad Yousaf;Aamir Qamar;Ayaz Ahmad;Trung Q. Duong;Wan Choi;Abbas Jamalipour
Publication Year: 2019,Page(s):124 - 132
Cited by: Papers (71)
The 5G communication systems will enable enhanced mobile broadband, ultra-reliable low-latency, and massive connectivity services. Broadband and low-latency services are indispensable to public safety (PS) communication during natural or man-made disasters. Recently, 3GPP-LTE has emerged as a promising candidate to enable broadband PS communications. In this article, first we present six major PS-...Show More
When Internet of Things Meets Blockchain: Challenges in Distributed Consensus
Bin Cao;Yixin Li;Lei Zhang;Long Zhang;Shahid Mumtaz;Zhenyu Zhou;Mugen Peng
Publication Year: 2019,Page(s):133 - 139
Cited by: Papers (253)
Blockchain has been regarded as a promising technology for IoT, since it provides significant solutions for decentralized networks that can address trust and security concerns, high maintenance cost problems, and so on. The decentralization provided by blockchain can be largely attributed to the use of a consensus mechanism, which enables peer-to-peer trading in a distributed manner without the in...Show More
When Internet of Things Meets Blockchain: Challenges in Distributed Consensus
Bin Cao;Yixin Li;Lei Zhang;Long Zhang;Shahid Mumtaz;Zhenyu Zhou;Mugen Peng
Year: 2019 | Volume: 33 | Issue: 6
Emerging Edge Computing Technologies for Distributed IoT Systems
Ali Alnoman;Shree Krishna Sharma;Waleed Ejaz;Alagan Anpalagan
Publication Year: 2019,Page(s):140 - 147
Cited by: Papers (48)
The ever-increasing growth of connected smart devices and IoT verticals is leading to the crucial challenges of handling the massive amount of raw data generated by distributed IoT systems and providing timely feedback to the end-users. Although the existing cloud computing paradigm has an enormous amount of virtual computing power and storage capacity, it might not be able to satisfy delay-sensit...Show More
Emerging Edge Computing Technologies for Distributed IoT Systems
Ali Alnoman;Shree Krishna Sharma;Waleed Ejaz;Alagan Anpalagan
Year: 2019 | Volume: 33 | Issue: 6
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