Yi-Bing Lin – författare

Evolving from offline billing of traditional telecommunications, charging for IP services in mobile networks is challenging; charging convergence is one of the major trends in the telecom industry. Advanced mobile telecommunications incorporates data applications with real-time control and management, and requires a convergent and flexible online charging system. Such convergence is essential to mitigate fraud and credit risks in order to provide more personalized information to users about charges and credit limit controls.

Charging for Mobile All-IP Telecommunications provides comprehensive and practical coverage of online and offline charging based on mobile operator experiences, and the latest efforts undertaken by the UMTS specifications.

Key features:

This book is an invaluable resource for graduate students, telecoms and IP engineers, network service providers and system architects. Information technologists and networking equipment manufacturers will also find this book insightful.

This book constitutes the thoroughly refereed proceedings of the 3rd International Conference on IoT as a service, IoTaaS 2017, held in Taichung, Taiwan, in September 2017. The 46 full papers were carefully selected from 65 submissions. The papers deal with the “Everything as a Service” deployment paradigm which enables the easy adoption of IoT based services and applications by end-users, and forces providers of smart objects and middleware platforms to architect their solutions accordingly. The three special sessions organized were Wearable Technology and Applications (WTAA), Building Smart Machine Applications (BSMA), and Security and Privacy in Internet of Things, Services and People (SP-IoTSP). The WTAA special session aimed to address the challenges of maintaining high efficiency of WTAA in terms of high recognition rate, energy consumption, computational costs and so forth. The BSMA special session aimed to explore how to construct smart machines architecture for the industryunder the background of IoT and big data. The SP-IoTSP special session aimed to investigate recent research and future directions for IoTSP security and privacy.

The IoT-driven smart grid is currently a hot area of research boosted by the global need to improve electricity access, economic growth of emerging countries, and the worldwide power plant capacity additions. The 40 papers presented were reviewed and selected from 159 submissions and present broad range of topics in wireless sensor, vehicular ad hoc networks, security, blockchain, and deep learning.

The 9 regular papers and 4 short papers presented were carefully reviewed and selected from 57 submissions. The papers cover a broad range of topics in wireless sensor, vehicular ad hoc networks, security, deep learning and big data. The papers are organized in two subject areas: applications on internet of things, and communication security, big data, neural networks and machine learning.