Journal Information
Computer Communications
http://www.journals.elsevier.com/computer-communications/
Impact Factor:
1.695
Publisher:
ELSEVIER
ISSN:
0140-3664
Viewed:
7098
Tracked:
24

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Call For Papers
Computer and Communications networks are key infrastructures of the information society with high socio-economic value as they contribute to the correct operations of many critical services (from healthcare to finance and transportation). Internet is the core of today's computer-communication infrastructures. This has transformed the Internet, from a robust network for data transfer between computers, to a global, content-rich, communication and information system where contents are increasingly generated by the users, and distributed according to human social relations. Next-generation network technologies, architectures and protocols are therefore required to overcome the limitations of the legacy Internet and add new capabilities and services. The future Internet should be ubiquitous, secure, resilient, and closer to human communication paradigms.

Computer Communications is a peer-reviewed international journal that publishes high-quality scientific articles (both theory and practice) and survey papers covering all aspects of future computer communication networks (on all layers, except the physical layer), with a special attention to the evolution of the Internet architecture, protocols, services, and applications. Topics include, but are not limited to:

    Emerging technologies for next generation network
    LAN/WAN/MAN
    Future Internet architecture, protocols and services
    Content- and service-centric architecture
    Mobile and ubiquitous networks
    Self organizing/autonomic networking
    Green networking
    Internet content search
    QoS and multimedia networking
    Opportunistic networking
    On-line social networks
    Internet of things
    Public safety communication networks
    Network applications (web, multimedia streaming, VoIP, gaming, etc.)
    Trust, security and privacy in computer and communication networks
    Modeling, measurement and simulation
    Complex network models
    Internet socio-economic models
    Experimental test-beds and research platforms
    Algorithmic aspects of communication networks
    Network scaling and limits
Last updated by Dou Sun in 2016-10-20
Special Issues
Special Issue on Trends and Advances for Data Mining and Classification on Internet of Things (IoT) systems
Submission Date: 2017-02-01

Computer Communications invites manuscript submission in the area of Data Mining and Classification on Internet of Things (IoT) systems 1. Introduction/Overview We’re currently shifting from the Information Age to the Intelligence Age. The Intelligence Age will be characterized by autonomous communication between intelligent devices that are sensitive to a person’s presence and respond by performing a specific task that enhances that person’s lifestyle. In this perspective, the Internet of Things envisages a plethora of heterogeneous objects interacting with people and the physical environment. Things are able to sense a user’s presence, movement and behavior, analyze that data in order to learn about that user, and then make an intelligent decision to perform a task based on the data. The widespread diffusion of Internet of Things (IoT) represents a potentially huge amount of data to manage, store and explore. In this scenario, it requires more efficient and scalable data analysis methods and raises additional challenges on data mining and analytics, including preserving users’ security and privacy. Data management in IoT systems is an emerging research area and there is generally a deficiency to understand the suitable approaches to support this field. The success of an IoT systems depends on the efficient integration of its devices, sensors and data management techniques, as well as of novel protection techniques. Therefore, this special issue tries to be a meeting point where researchers in Data Mining and Classification on IoT could have the opportunity to present current research results, and to look for new ways of transformation of the technological ecosystem in all its complexity, while to guaranteeing both technically and regulatory the neutrality of the future internet. 2. Why this topic is Important to Journal of Computer Communications readers Computer Communications is an international and prestigious journal; in this perspective this SI, focusing on Data Mining and Classification on IoT, will be able to collect several scientific contributions from different research areas, since the IoT paradigm can be considered a quite consolidated but at the same time an emerging paradigm with a plethora of applications (e-health, cultural heritage, industrial, transportation, data mining, etc.) and consequently new technical flaws and threats of intrusions. In this special section, we invite researchers from academia, industry, and government to discuss challenging ideas, novel research contributions, demonstration results, and standardization efforts on the Internet of Things and related areas. Topics of interest include, but not limited to the following: IoT platforms for Big Data and Data analytics; Environmental sensing and computing; Personalized services in IoT systems; Ambient-oriented technologies; Ambient context modeling and reasoning; Smart environments and applications; Data Classification on IoT environments; Interaction techniques and technologies in IoT systems; Intelligent data analysis; Social Data Mining techniques; Real-time intelligence; Data streams mining techniques: Algorithms for data mining on IoT environments; Algorithms for Big Data analytics and data mining on IoT environments; Intelligent sensors and sensing applications Challenges in big data storage and processing; Mining and recommendation techniques for IoT environments; Data mining analytics applied to Smart Cities; Data mining techniques applied to Cultural Heritage domain; IoT architecture, tools and applications for Data analysis. 3. Guest Editor Information Francesco Piccialli, University of Naples “Federico II”, Italy Dr. Francesco Piccialli is a researcher in University of Naples, Federico II, Italy. He received the M.S. and PhD. degrees in Computational and Computer Science in 2012 and 2015 respectively. Dr. Francesco Piccialli serves as committee member, track chair, invited session chair of many international conferences and workshop (EUSPN 2016, ICDIM2016, 3GPCIC 2016, CADSA 2015/2016, KES-IIMSS 2016, VICTA 2014/2015/2016, etc.). He is also the organizer of two international workshop named V.I.C.T.A. and Da.M.I.S. His research topics are focused on Internet of Things paradigm, design of Smart Environments, Cultural Heritage applications within IoT. Recently, he have been working on smart framework to support an innovative fruition schema for Cultural spaces, applying it in many real cultural context in Naples city, Italy. Jason J. Jung, Chung-Ang University, Korea Jason J. Jung is an Associate Professor in Chung-Ang University, Korea, since September 2014. Before joining CAU, he was an Assistant Professor in Yeungnam University, Korea since 2007. Also, He was a postdoctoral researcher in INRIA Rhone-Alpes, France in 2006, and a visiting scientist in Fraunhofer Institute (FIRST) in Berlin, Germany in 2004. He received the B.Eng. in Computer Science and Mechanical Engineering from Inha University in 1999. He received M.S. and Ph.D. degrees in Computer and Information Engineering from Inha University in 2002 and 2005, respectively. Dr. Jung serves as Editorial board member of many international journals, e.g., Journal of Universal Computer Science, International Journal of Intelligent Information and Database Systems, International Journal of Social Network Mining and International Journal of Web Engineering and Technology. He has edited 10 special issues in international journals, 2 conference proceedings. He is the author of about 100 international publications. His research topics are knowledge engineering on social networks by using many types of AI methodologies, e.g., data mining, machine learning, and logical reasoning. Recently, he have been working on intelligent schemes to understand various social dynamics in large scale social media (e.g., Twitter and Flickr). Silvia Giordano, PhD from EPFL, is Professor at SUPSI, Distinguished Professor and Thousand Talents Plan Professor at Tianjin University of Technology, China and associate researcher at CNR. She directs the NetLab, and is responsible for the Social Area. Her work in the field ad hoc networks produced several seminal papers in key research directions, with hundreds of citations. Currently she is working in the area of human mobility and social computing with very innovative results in the field of localization, and with seminal work that calls for a new understanding of the concept of social distance. She is editor of several journals, and in the steering and organising committee of major conferences. She is ACM Distinguished Scientist, IEEE Senior member, and ACM Distinguished Speaker. Jiannong Cao, is a chair professor and the head of the Department of Computing at The Hong Kong Polytechnic University. He is also the director of the Internet and Mobile Computing Lab in the department. Before joined The Hong Kong Polytechnic University in 1997, he has been on faculty of computer science in James Cook University and The University of Adelaide in Australia, and the City University of Hong Kong. Dr. Cao is currently, an adjunct professor of Sun Yat-sen University and National University of Defense Technology, a guest professor of Shenzhen University. He also held several adjunct and visiting positions, including adjunct chair professor of Central South University, adjunct professor of Beijing Jiaotong University, Shanghai Jiaotong University, Northeastern University, Northwest Polytechnic University, a visiting research professor in the National Key Lab for Novel Software Technology, Nanjing University of China, a visiting fellow in the School of Computer Engineering, Nanyang Technological University of Singapore, a visiting scholar of the Institute of Software-Chinese Academy of Science, and Peking University Overseas Scholar Lecture Program. 4. Submission Instructions Please see http://www.elsevier.com/locate/comcom for preparation guidelines and visit http://ees.elsevier.com/comcom to submit your manuscript. To ensure that all manuscripts are correctly identified for inclusion into the special issue, please select "SI: DMIoT" when you reach the Article Type step in the submission process. For further information, please contact the guest editors. 5. Important Dates Submission deadline: 1 Feb 2017 Acceptance Notification: 1 July 2017
Last updated by Dou Sun in 2016-10-20
Special Issue on Mobile Video in the 5G/IoT Era
Submission Date: 2017-02-28

Theme The enormous popularity of smart phones and other mobile hand-held devices has led to a dramatic increase in wireless video traffic. Until just recently, there were very few mobile devices with any capability for video reception. According to recent estimations, mobile video traffic is expected to be 60-75% of the global mobile traffic by 2020, and this percentage will only increase with the myriad applications of the “everything connected” Internet of Things upcoming era. However, a number of significant challenges need to be addressed and overcome before the full potential of mobile video networking is reached. Such challenges include, among others: New sets of traffic control procedures must be implemented in order for networks to cope with the high variance in video traffic Quality of Service (QoS) requirements and guarantee the required Quality of Experience (QoE) for users; The small display size, limited battery and processing capabilities of mobile devices are constraints which can negatively influence user QoE; Pricing models for mobile video services; User discomfort in holding their phones at a set distance from their faces for the time of a video conference; Compatibility issues between the equipment and the software of mobile video users. All of the challenges related to mobile video networking are further hindered by user mobility and by the high error rates in wireless networks. Given the small display size, even a relatively low video packet dropping probability may considerably deteriorate the viewer’s QoE. Additionally, errors due to packet loss in a reference frame propagate to the dependent difference frames. Depending on the effectiveness of the encoding/decoding scheme, this phenomenon can have a significant impact on the quality of the received video sequence. Call for Papers This special issue is devoted to covering all aspects of current work on mobile video and to providing a forum for researchers and practitioners to present and discuss their most recent contributions in the field. Previously unpublished, original papers of high quality that are not currently under review by another journal or conference are solicited on (but not limited to) the following topics of interest: Mobile video services and applications (social networking, gaming, surveillance) Cloud-based mobile video delivery Power management for mobile video QoS issues and performance evaluation of mobile video over wireless networks Mobile video streaming in cloud and mobile cloud computing environments Video for wireless sensor networks Reducing video transport cost over mobile networks Mobilevideo traffic modeling Mobile video QoE metrics and optimization Protocols and algorithms maximizing bandwidth utilization for mobile video traffic transmission Mobility management for mobile video users and applications Wireless video coding 3D Video compression for mobile devices Pricing of mobile video services Peer-to-peer mobile video Mobile video in m-health networking Video in hybrid networks, e.g., WLAN-to-cellular, mobile hotspot to cellular Mobile video services supported by mobile cloud computing techniques Important Dates Paper submission deadline: February 28, 2017. Author Notification: June 15, 2017. Submission Instruction Please see http://www.elsevier.com/locate/comcom for preparation guidelines and visit http://ees.elsevier.com/comcom to submit your manuscript. To ensure that all manuscripts are correctly identified for inclusion into the special issue, please select "SI: Mobile Video 5G/IoT" when you reach the Article Type step in the submission process. For further information, please contact the guest editors. Guest Editors Polychronis Koutsakis, Murdoch University, Australia Constandinos Mavromoustakis, University of Nicosia, Cyprus Joel J. P. C. Rodrigues, Instituto de Telecomunicações, Universidade da Beira Interior, Portugal Sherali Zeadally, University of Kentucky, USA
Last updated by Dou Sun in 2016-10-20
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