article

RFID-based mobility for seamless personal communication system in cloud computing

Authors:

Jiann-Liang Chen,

Yueh-Min Huang,

Rongbo ZhuAuthors Info & Claims

Telecommunications Systems, Volume 58, Issue 3

Pages 233 - 241

https://doi.org/10.1007/s11235-014-9869-4

Published: 01 March 2015 Publication History

Abstract

The Voice over Internet Protocol (VoIP) was developed for making telephone calls using an Internet connection instead of a regular (or analog) phone line. However, traditional VoIP technologies have many disadvantages: user mobility is limited, and the need for Internet access makes it impossible to dial or receive data anytime from anywhere. Sensor technology has been integrated with VoIP to make mobility possible. However, maintaining communication quality while a VoIP account switches to the new IP address is difficult. Thus, this work proposes a Radio Frequency Identification (RFID)-based seamless personal communication system with cloud computing. The proposed system has two main technologies: RFID and Session Initiation Protocol (SIP). First, RFID senses and recognizes mobile devices carried by users. Finally, SIP establishes and maintains VoIP calling.

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Cited By

Liu BWu QZhang YCao QXu X(2020)Exploiting the Relationship between Pruning Ratio and Compression Effect for Neural Network Model Based on TensorFlowSecurity and Communication Networks10.1155/2020/52186122020Online publication date: 30-Apr-2020
https://dl.acm.org/doi/10.1155/2020/5218612

Index Terms

RFID-based mobility for seamless personal communication system in cloud computing
1. Networks
  1. Network protocols
  2. Network types
    1. Mobile networks

Index terms have been assigned to the content through auto-classification.

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Published In

cover image Telecommunications Systems

Telecommunications Systems Volume 58, Issue 3

March 2015

77 pages

ISSN:1018-4864

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Copyright © Copyright © 2015 Springer Science+Business Media New York.

Publisher

Kluwer Academic Publishers

United States

Publication History

Published: 01 March 2015

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Cited By

Liu BWu QZhang YCao QXu X(2020)Exploiting the Relationship between Pruning Ratio and Compression Effect for Neural Network Model Based on TensorFlowSecurity and Communication Networks10.1155/2020/52186122020Online publication date: 30-Apr-2020
https://dl.acm.org/doi/10.1155/2020/5218612

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