Journal Information
Mobile Networks and Applications
http://www.springer.com/engineering/signals/journal/11036
Impact Factor:
1.538
Publisher:
Springer
ISSN:
1383-469X
Viewed:
3094
Tracked:
6

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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 Advanced Industrial Networks with IoT and Big Data
Submission Date: 2017-03-30

Internet of Thing (IoT) has the potential to deliver exciting things across many sectors, from industry to social media and home. These networks of things are designed to measure real-world events and expected to control more than two billion connected devices to the internet by 2020. Due to the advantage of low-cost, easy to deploy, energy efficiency and mobility compared to the traditional applied field bus, industrial wireless sensor network has become a promising approach for manufactures as well as plant designers. With the paradigm of IoT, Industrial Wireless Sensor Networks (IWSNs) are evolving to the global interconnection between managements and factory products in large scale industry. It serves a link between data collected from heterogeneous sources on site and business backend. Recently, IWSN integrated with IoT and Bigdata is an attractive choice for industrial processes. The large scale industry consists of dense wireless devices such as RFID tags for machine identification, sensors used for large scale rotational equipment monitoring and fault diagnosis and many more. With the data acquisition across heterogeneous sources and intelligent processing of gathered data, one important aspects is to predict any dangerous situation like leakage of toxic gas in large scale pipeline. Furthermore, the layout design procedure in industry to ensure connectivity and information flow is also a part of IoT paradigm. Thus, the main concerns of IWSN integrated with IoT and Bigdata are capability, reliability and cost. In this special issue, we are interested in exploring recent emerging technologies and research developments on industrial networks and intelligent systems to advance the step towards the smarter plants integrated with IoT and Bigdata. We welcome paper submissions from both academic and industrial societies. List of interested research topics, but not limited: - Industrial Internet of Things - Software defined networks for industrial networks - IoT and Future Internet Architectures - Cloud Computing For Intelligent Industrial Processing Management - Intelligent Middleware for Industrial Networks and Systems Integration - Intelligent Energy Harvesting Technologies for Industrial Networks - Big Data and Cloud Computing, Large Scale Industrial Plants on the Cloud - Big Data Analysis on Communications-Surveillance Data, Metadata, and Multimedia - Sensors Data Management, IoT Mining and Analytics - Distributed Sensing and Control, Routing and Control Protocols - Crowd-Sensing, Human Centric Sensing - Smart Grid, Energy Management - Intelligent Energy Harvesting Technologies for Industrial Networks
Last updated by Dou Sun in 2016-08-23
Special Issue on Wireless Networks and Applied Medical Sensor Networks
Submission Date: 2017-03-30

All devices with intelligence will see wireless connectivity in the future and will influence not only the way we live but also the way we think and work. Since sensing the environment is an integral part of most devices, wireless sensor networks have the potential to impact the wireless ecosystem. An emerging research area in wireless sensor networks is the development of various wearable vital sign sensors which provide real time data and hence significantly bridging the gap of medical care. Medical sensor networks have evolved from simple wireless sensor network to complex systems supporting multicast routing, high data rate, node mobility and node heterogeneity. This special issue focuses on wireless networks and how it is evolving towards wireless connectivity of all devices with special emphasis on Medical Sensor Networks. Topics of interest include, but are not limited to, the following scope: - Performance analysis of wireless networks - Energy efficient wireless protocols - Localization techniques - Multicasting - Routing and Medium Access Control - Scheduling & Synchronization - Data aggregation - Security in wireless networks - Wireless network hardware - Biomedical wireless network - Biosensors - Medical Sensor Networks - Internet of Things - Sensor network deployment - Mobile cloud systems - Multimedia data processing - Delay Tolerant Network - Body Area Sensor Network - Heterogeneous Networks - Data analysis, Pattern recognition in wireless networks - Wearable computing - Cross layer design - Cyber physical systems - Multi sensor data processing - Green sensor networks
Last updated by Dou Sun in 2016-12-16
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
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