Journal Information
Mobile Networks and Applications
http://www.springer.com/engineering/signals/journal/11036
Impact Factor:
1.538
Publisher:
Springer
ISSN:
1383-469X
Viewed:
3618
Tracked:
7

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Call For Papers
Mobile Networks and Applications' technical scope covers mobility solutions that provide communication technologies and mobile services, which enables users to access resources and share information freely, anytime anywhere. The emerging symbiosis of wireless communication, the ever more powerful mobile devices, with the back-end resources of the cloud, making the user fully location independent.

The journal addresses the convergence of mobility, computing and information organization, services and management. In approving Special Issues, the Journal places an equal emphasis on the various areas of nomadic computing, data management, related software and hardware technologies, and mobile user services, alongside more `classical' topics in wireless and mobile networking. The journal documents practical and theoretical results which make a fundamental contribution.
Last updated by Dou Sun in 2016-12-13
Special Issues
Special Issue on Reliability and Scalability of Communication Middleware and Distributed Applications
Submission Date: 2017-06-01

In the last years it is manifest that the world of high-end parallel servers and distributed computing systems/applications (in their continuous evolving declinations of high-performance computing, grid computing, and cloud computing, and supports to mobile cloud computing) is paying increasing attention to the technical challenges related to quality of service, determination of temporal behavior and response of software platforms, interactivity, and performance of communication mechanisms and tools. In modern computation centers, traditional distributed applications may coexist with other supports and services that become more and more timesensitive (cross-border surveillance and object tracking, big data analysis, smart city application supports, net gaming, adaptive video streaming, etc.), and this tends to happen more and more frequently on virtual resources hosted by a virtualized infrastructure. Therefore, the design, implementation, and deployment of distributed reliable systems must take into careful account the critical and still open technical challenges about the dynamic selection and runtime evaluation of interaction models and software technologies, as well as their temporal behavior, resource efficiency, performance, scalability, and coordination overhead vs. flexibility. In addition, we are experiencing growing interest and need for novel contributions about dynamic middleware solutions capable of taking context-aware resource management decisions to enforce the most appropriate quality levels depending on application SLAs and overall (possibly clustered) visibility of resource status. These solutions are particularly challenging when dealing with largescale open deployment environments and their associated scalability issues. The purpose of this Special Issue (SI) is to gather high-quality papers about 'Reliability and Scalability of Communication Middleware and Distributed Applications' in the above perspective, thus offering to MONET readers a fresh and updated overview of the most relevant research activities ongoing in the area. The SI is also in association and synergy with the Reliable Software Technologies and Communication Middleware (RST) track that the Guest Editors are organizing within the 32nd ACM SAC 2017 conference (around 30%-40% of SI articles will be extended versions of selected best papers from RST, the other ones will be selected from open call). Topics of interest include, but are not limited to, the following scope: - Cloud computing advances for cyber-physical systems and mobile cloud computing - Communication middleware for efficient reliability in wide-scale environments - Efficient and context-aware management of big data flows (e.g., to support smart city apps) - Efficient integration with run-time supports - Reactive stream processing and on line processing of big data flows - Reliable and time-sensitive distribution models - Resource-efficient and timeconstrained interaction models - Scalability solutions and evaluation of reliable communications and operating systems and virtualization technologies - Middleware for the efficient integration of cyber-physical systems and the cloud - Programming models and languages for reliable high-end distributed systems - Quality-aware middleware for datacenter resource management distributed systems in wide deployment scenarios - Simulation/emulation-based and onthe-field performance evaluation of distributed applications
Last updated by Dou Sun in 2017-03-30
Special Issue on Intelligent Industrial IoT Integration with Cognitive Computing
Submission Date: 2017-06-01

In recent years, the widespread deployment of wireless sensor networks, industrial cloud, industrial robot, embedded computing and inexpensive sensors has facilitated industrial Internet of Things (Industrial IoT) technologies and fostered some emerging applications (e.g., product lifecycle management). Industrial IoT is the direct motivation and drive for the industrial upgrading. Supported by cognitive computing, which is one of the most important fundamental researches and key techniques for implementing intelligent manufacturing, Industrial IoT is significantly becoming smarter that more intelligent services and applications are emerging. Therefore, the services of an intelligent Industrial IoT integration with cognitive computing could be suggestive, prescriptive, or instructive in nature, and it could be more affective and influential by design choices to make a new class of problems computable. Although IoT has emerged with a great potential to change our life especially with ubiquitous sensing and sensory data, cognitive IoT technologies will make it possible to understand what's happening in the world more deeply. Therefore, it is necessary to address the technical challenges and problems related to Industrial IoT on designing, building, and deploying novel cognitive computing, services and technologies, to enable intelligent Industrial IoT services and applications.
Last updated by Dou Sun in 2016-12-16
Special Issue on Context-Aware Systems and Applications (ICCASA 2016, 2017) and Nature of Computation and Communication (ICTCC 2016, 2017)
Submission Date: 2017-06-02

Context awareness (CA) refers to systems can both sense and react based on their environment. The systems may have information about the circumstances under which they are able to operate and adapt their behavior accordingly based on rules or an intelligent stimulus. Such systems are a component of a mobile computing environment. Currently context has been considered as part of a process in which users are involved, hence specifying and developing context models are needed to support context-aware applications to (a) adapt interfaces, (b) tailor the set of application-relevant data, (c) increase the precision of information retrieval, (d) discover services, (e) make the user interaction implicit, or (f) build smart environments. Context related to human factors is structured into three categories: (a) information on the user, (b) the user's social environment, and (c) the user's tasks. Likewise, context related to physical environment is structured into three categories: (a) location, (b) infrastructure, and (c) physical conditions. Context-aware systems are concerned with the acquisition of context, the abstraction and understanding of context, and application behavior based on the recognized context. In some applications, as the user's activity and location are crucial, context awareness has been concentrated more deeply on location awareness and activity recognition. Three important aspects of context are: (a) where you are; (b) who you are with; and (c) what resources are nearby. Natute of Computation and Communication focuses on rigorous approaches and cutting-edge solutions, which encompass three classes of major methods: - Those that take inspiration from nature for the development of novel problem solving techniques; - Those that are based on the use of computers or networks to synthesize natural phenomena; and - Those that employ natural materials (e.g., molecules,) to compute or communicate. This special issue on Context-Aware Systems: and Applications (ICCASA 2016, 2017) and Natute of Computation and Communication (ICTCC 2016, 2017) in the ACM/Springer Mobile Networks and Applications (MONET) Journal is a place for highly original ideas about how CA and Nature-Inspiration are going to shape computing systems of the future. Hence, it focuses on rigorous approaches and cutting-edge solutions which break new ground in dealing with the properties of CA and Nature. Its purpose is to make a formal basis more accessible to researchers, scientists, professionals and students as well as developers and practitioners in computer science by providing them with state-of-the-art research results and future opportunities and trends. Original papers are solicited for the Special Issue. In particular, theoretical contributions should be formally stated and justified, and practical applications should be based on their firm formal basis. Topics of interest include, but are not limited to, the following scope: Context-Aware Systems: and Applications: - Context-aware formal models and methods - Context-aware algorithms and mechanisms - Context-aware properties in mobile systems - Design and performance issues of CA - Tools, testbeds and deployment issues of CA Natute of Computation and Communication: - Autonomic computing/communicating - Amorphous computing - Biologically-inspired computing/communicating - Cellular automata - Cellular computing - Collective intelligence in computing/communicating - Collision-based computing - Real-world applications/implementations and standardization of CA - Socially-inspired, game theoretic and other metaphor-driven interdisciplinary approaches to CA of mobile systems - Computation/communication based on chaos and dynamical systems - DNA computing - Evolutionary computing - Hypercomputation - Massive parallel computing - Membrane computing - Molecular computing - Neural computing - Optical computing - Physarum computing - Quantum computing - Relativistic computing - Spatial computing - Swam intelligence in computing/communicating - Wetware computing
Last updated by Dou Sun in 2017-03-30
Special Issue on Artificial Intelligence for Mobile Robotic Networks
Submission Date: 2017-06-15

The integration of artificial intelligence and multimedia communication networks has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. It is foreseeable that artificial intelligence will be the main approach of the next generation of mobile robotic networks. The explosive number of artificial intelligence methods and increasing computational power of network-based computers has significantly extended the number of potential applications for mobile robotics. It has also brought new challenges to the artificial intelligence community. The aim of this special issue is to provide a platform to share up-to-date scientific achievements in this field. Topics of interest include, but are not limited to, the following scope: - Artificial Intelligence for Multimedia Systems - Big Data for Communication Systems - Positioning and Navigation Systems - Ocean Observing System Management - Artificial Intelligence for Multimedia Communication - Deep Learning for Multimedia Systems - Artificial Intelligence Systems and Applications - User Experience for IoT Systems - Multimedia Learning for Internet of Things - Machine-to-Machine Communication - Multimedia Signal Processing for Networks - Big Data for Mobile e-Healthcare Systems - Smart Mobile Applications - Robotics for Multimedia Communication Systems - Computer Vision for Mobile Robotics
Last updated by Dou Sun in 2017-03-30
Special Issue on Current and Future Trends in Wireless Communications Protocols and Technologies
Submission Date: 2017-06-15

Information and Communications Technology (ICT) has significantly progressed in recent years by relying heavily on wireless communications. Currently, most of the devices and systems are connected via wireless technologies and numerous emerging solutions and applications are proposed based on wireless communications. Further, with the introduction of concepts such as Internet of Things (IoTs), nearly countless number of devices will be connected in a global network through wireless interfaces, using standard protocol solutions. The connectivity of these plethora of devices will be heavily relying on wireless communications and therefore, the challenges such as scalability, reliability, signal coexistence, data rate and energy consumption faced by the existing systems need to be thoroughly analyzed. In addition, the proposal for 5G technologies aims to provide very high data-rates, massive number of devices connectivity, very high reliability and low latencies. Therefore, efforts are underway to consider beyond state ofthe-art protocols and mechanisms for wireless communication. Thus, the next generation of wireless communication is expected to meet the demands of various challenging use cases that go far beyond distribution of voice, video and data. Therefore, this special issue aims to present the solutions that address the challenges wireless communication systems are facing. Original, high quality contributions that are not yet published, submitted or not currently under review by other peer-reviewed conferences are sought. Topics of interest include, but are not limited to, the following scope: - 5G technologies - Wireless vehicular communications - Wireless Sensor Networks - Reliable Wireless Communications - Future QoS requirements of Wireless Networks - LTE-A and Heterogeneous wireless networks - Wireless Communication Technologies for Smart mobility - Security and privacy Concerns in Wireless Communications - IoT and Wireless Communication Requirements - Novel Wireless Protocol Designs - Energy Efficient Wireless Communications - Analysis of the Challenges on the Existing Wireless System - Co-existence of Wireless Communication Technologies - Simulation Field trials/Testbed Implementations
Last updated by Dou Sun in 2017-03-30
Special Issue on Mobilware 2017: Mobile Network Software-ization and Mobile Middleware
Submission Date: 2017-07-01

The recent advances in wireless communications and the proliferation of powerful mobile devices have enabled smart cyber-physical environments where people and devices can seamlessly interact and where mass-market users are willing to receive/contribute to a wide range of mobile services, everywhere and anytime. A key enabler of these pervasive ubiquitous environments is the advancement of software and middleware technologies in various mobile-related sectors, ranging from effective synergic management of wireless communications to mobility/adaptivity support in operating systems, from horizontal support to crowdsourcing in different application domains to dynamic offloading to cloud resources, only to mention a few. Topics of interest include, but are not limited to, the following scope: - IoT and SDN in mobile networks - Fog Computing in wired/wireless and mobile environments - Fog/Cloud Computing service continuum - Containerization support for mobile environments - Security and privacy of mobile-based monitoring systems - Big data and cloud computing scalable processing of mobile sensors-generated datastreams - Applications and testbeds in vehicular networks, home networks, and Industrial IoT - New middleware concepts for mobile devices - Mobile middleware enabling machine-tomachine communication - Mobile crowdsourcing and people-centric collaborative sensing - Smart space/city middleware and applications - Middleware for mobile cloud computing (e.g., seamless offloading) - End-to-end architectures for seamless ubiquitous service provisioning and deployment - Synergic integration of heterogeneous wired and wireless networks - Opportunistic, delay-tolerant, and store-carry-forward techniques for mobile and wireless networking - Energy-efficient applications, services, and middleware - Modeling, simulation, and performance evaluation of mobile wireless systems and services - Trustworthiness, security, and privacy of mobile and wireless systems - Impact of IMS, RCS, RCS-e, EPC, LTE, LTE Direct on the evolution of mobile middleware
Last updated by Dou Sun in 2017-04-13
Special Issue on Recent Advances in Mining Intelligence and Context-Awareness on IoT-based Platforms
Submission Date: 2017-08-15

To develop innovative and intelligent machines that are fit for futuristic use, it is necessary to take a holistic approach in order to recognize various situations and environmental issues. To do this, various types of machine learning mechanisms have been developed during past decades.Recently, deep Learning has been proposed as a new area of Machine Learning and Mining researches, which have been investigated with the objective of moving Machine Learning closer to one of its original goals. Deep learning is being tried to apply for various recognition fields where researchers feel difficulty, but can achieve very promising result such as Alphago by Google deep mind. This kind of learning mechanism can cooperate with various sensors, which are able to gather large information. Also, the development of sensor networks, particularly in the last years, has extended their applicability in various domains, such as heritage preservation, environmental motoring and human activity recognition. Especially, to achieve highly natural interpretation of the environmental situation, various kinds of sensors should be widely employed in recognition system. Therefore, integration of sensor data with intelligent machine learning scheme is a natural choice and henceforth the sensor-based recognition technology is emerging as an important field of research including artificial intelligence (AI). This special issue aims to highlight the latest research results and advances on algorithms and technologies for various sensor-based recognition systems. It will include related topics and demonstrate original research work in this field of research. It will also cover the results of investigation on these topics featuring novel solutions and discuss the future trend of research in this domain. The MIKE2017 will be an interdisciplinary conference that brings together researchers and practitioners from the domains of learning algorithms, data mining, machine learning, knowledge exploration, large-scale data analytics, big data, soft computing, information systems, and so on. The selected outstanding papers from MIKE2017 will be recommended to this special issue. Topics of interest include, but are not limited to, the following scope: - Advances in Machine Learning - Algorithms for Intelligent Learning - Analogical, cognitive, and creative reasoning - Business Intelligence - Case Based Recommender Systems - Collective Learning and Tagging - Context and location aware techniques - Cross / Multi Language content mining - Crowdsourcing & Crowd Mining Algorithms and Systems - Big Data Search (HANA, Terracotta, Hadoop) - Visual analytics for text mining /exploration Visual Exploration - Real-time applications of data mining - Learning mechanisms from wireless sensor systems - Self-learning structure and framework - Security problem in multimedia data mining and distribution - Emotion and expression recognition algorithms for human interactive applications - Bioinformatics - Reasoning and Learning - Distributed and Peer-to-peer Search - Distributed Mining of Human expertise - Image Processing and Understanding - IoT solutions and platforms for information mining - Human sensors-based applications for intelligent context recognition - Real-time signal processing algorithms for recognition system
Last updated by Dou Sun in 2017-05-23
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