SNIoT2018: Smart Network Inspired Paradigm and Approaches in IoT Applications |
Submission deadline | October 25, 2018 |
Call for Book Chapter
Smart Network Inspired Paradigm and Approaches in IoT Applications
Smart networks architectures and technologies play an important and increasing role in practice due to the widespread adoption of mobile devices in many applications. For example, from the industry perspective, the synergy between smart mobile networks and cloud technologies has resulted in new cloud provisioning models for supporting mobile application development and deployment, such as Mobile Backend as a Service (MBaaS). MBaaS supports cloud services which are commonly needed by web and mobile systems (e.g., data storage, identity and access management, synchronization and push notifications). From an academic perspective, smart networks are a way of augmenting mobile devices and dealing with the inherent limitations related to remote resources located in the IoT applications. Techniques materializing this idea include offloading and cyber-foraging. While smart networks can be viewed as a special case of adhoc and sensors networks, it represents also an evolution of the latter since it includes the ability of augmenting mobile (e.g., laptops, smartphones, tablets and wearables) and wireless devices (e.g., sensors and actuators) with processing/storage resources in their proximity, in terms of network topology. Indeed, several flavors of this idea, including micro-data centers, cloudlets and fog computing itself, follow the edge computing model, by which data/computations are processed using computing resources located at the edge of the network –accessible through wireless protocols– and optionally using remote resources in the cloud.
Motivated not only by the increasing number of mobile devices, but also their ever-growing computing and sensing capabilities, there have been efforts to leverage these devices as destination for offloading computations/data in the context of IoT applications. Such a trend has also been referred to as dew computing in the literature. However, current research in the area is still focused on augmenting mobile clients via fixed computing resources (e.g., local servers and computer clusters), so huge unexploited computing and sensing capabilities remain “at the edge”. Therefore, many research opportunities to exploit mobile devices in the context of smart networks for IoT applications arise.
The objective of this book is to attract high-quality research articles and reviews that promote research and reflect the most recent advances in addressing and focusing the smart networks inspired paradigm and approaches issues in IoT applications as well as other emerging areas. In recent time, implementing smart networks solutions has become a trend amongst the various research teams at an international level. The smart network refers to the use of modern information and communication technologies to meet the needs of citizens, customers, IT professionals, ISP providers as well as policy makers
Potential researchers are using networks has emerged to disseminate the applications of smart networks for IoT. It includes source and data authentication, efficient and secure data routing, save bandwidth, and intelligent transportation systems. The book includes original research and high-quality survey articles on topics including, but not limited to:
• Interfaces, protocols and associated Smart Network Technology in IoT
• Fast and complexity-awareness algorithms for real-time computing for network
• Scientific computing and data management
• Network-based big data management and analytics
• Cyber threat intelligence and defense
• Data-driven service management automation
• Security and fault tolerance for embedded or ubiquitous systems
• Sensor network security issues in mobile cloud computing
• Ambient intelligence and intelligent service systems in IoT
• Geo-processing, Localization and Location Based Services
• Spatial data techniques and tools for analytics
• Smart city services and applications platforms
• Internet of Things for cross-thematic applications
• Automated and intelligent data processing methods
• Smart city applications: mobility, energy, public administration & governance, economy, health, security and environment
Submission Guidelines
Submitted manuscripts should conform to the standard guidelines of Springer book chapter format. Manuscripts must be prepared using Latex, or MS Word. Prospective authors should submit their manuscripts electronically through Easychair submission system or email through this email: [ Mohamed_elhoseny@mans.edu.eg , Mohamed.elhoseny@unt.edu] Submitted manuscripts will be refereed by at least two independent and expert reviewers for quality, correctness, originality, and relevance.
Volume Editors
Dr. Mohamed Elhoseny: Faculty of Computers and Information, Mansoura University, Egypt, Mohamed_elhoseny@mans.edu.eg
Dr. Amit Kumar Singh: Jaypee University of Information Technology (JUIT), India
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Publication
SNIoT2018 will be published by Springer
Contact
All questions about submissions should be emailed to mohamed_elhoseny@mans.edu.eg or mohamed.elhoseny@unt.edu