An application-level approach for seamless mobility support across heterogeneous networks

Author(s):  
Yifan Yu ◽  
Xiang Li ◽  
Guangjie Li ◽  
Xu Sunny Zhang
2006 ◽  
Vol 48 (5) ◽  
Author(s):  
Anton Ambrosy ◽  
Oliver Blume ◽  
Dirk Hofmann ◽  
Edgar Kühn ◽  
Stuttgart Tobias Küfner

Mobile IP (MIP) protocols are candidates for seamless mobility support in heterogeneous networks with different radio access technologies. Handover requirements are analysed by Random-Way-Point mobility simulations. We then simulated packet loss, delay and network load during MIP and Fast MIP handover to identify the main contributions to handover latency. Best performance is found for MIP in Make-Before-Break scenario.


2011 ◽  
pp. 830-844
Author(s):  
Eduardo Antonio Viruete Navarro

In the last years, much work has been done to create a complete solution in m-Health environments. The problem can be summarized as follows: any health professional (medical specialist, sport trainer, nutritionist, etc.) should be able to control a series of measurements related to a person’s health. The characteristics of these people vary from those patients with limited knowledge of the control processes and low mobility to sportsmen highly involved in the process and great mobility in the moment the measurements take place. This wide set of characteristics raises two basic challenges: the use of measurement equipment easily adaptable to the control system and the necessity of adding mobility support mechanisms to the design. This chapter focuses on studying these two challenges, illustrates them with several use cases and contributes to the mobility support problem with a new algorithm.


2016 ◽  
Vol 13 (10) ◽  
pp. 86-107 ◽  
Author(s):  
Haoqiu Huang ◽  
Lanlan Rui ◽  
Weiwei Zheng ◽  
Danmei Niu ◽  
Xuesong Qiu

Author(s):  
Xenofon Vasilakos ◽  
Mohammed Al-Khalidi ◽  
Vasilios A. Siris ◽  
Martin J. Reed ◽  
Nikolaos Thomos ◽  
...  

Author(s):  
Eduardo Antonio Viruete Navarro

In the last years, much work has been done to create a complete solution in m-Health environments. The problem can be summarized as follows: any health professional (medical specialist, sport trainer, nutritionist, etc.) should be able to control a series of measurements related to a person’s health. The characteristics of these people vary from those patients with limited knowledge of the control processes and low mobility to sportsmen highly involved in the process and great mobility in the moment the measurements take place. This wide set of characteristics raises two basic challenges: the use of measurement equipment easily adaptable to the control system and the necessity of adding mobility support mechanisms to the design. This chapter focuses on studying these two challenges, illustrates them with several use cases and contributes to the mobility support problem with a new algorithm.


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