scholarly journals Mobility and Handoff Management in Wireless Networks

10.5772/8482 ◽  
2010 ◽  
Author(s):  
Jaydip Sen
Keyword(s):  
Wireless Networks ◽  
Handoff Management

Application Layer Signaling for Proactive Handoff Management in All-IP Wireless Networks

2009 ◽  
Author(s):  
S. Zaghloul ◽  
J. I. Aznar ◽  
A. Jukan
Keyword(s):  
Wireless Networks ◽  
Application Layer ◽  
Handoff Management

Heterogeneous Wireless Networks: Configuration and Vertical Handoff Management

2009 ◽  
Vol 54 (3) ◽  
pp. 417-445 ◽  
Author(s):  
Ikram Smaoui ◽  
Faouzi Zarai ◽  
Mohammad M. Banat ◽  
Lotfi Kamoun
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Vertical Handoff ◽  
Handoff Management

Cross-Layer Handoff Management Algorithm on Heterogeneous Wireless Networks

2008 ◽  
Vol 7 (5) ◽  
pp. 820-824 ◽  
Author(s):  
Thazin Ei ◽  
Wang Furong
Keyword(s):  
Wireless Networks ◽  
Heterogeneous Wireless Networks ◽  
Cross Layer ◽  
Handoff Management ◽  
Management Algorithm

Handoff Management in Next Generation Wireless Networks

2010 ◽  
pp. 1790-1811
Author(s):  
Nidal Nasser ◽  
Tarek Bejaoui
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Heterogeneous Wireless Networks ◽  
User Preferences ◽  
Fourth Generation ◽  
Vertical Handoff ◽  
Next Generation ◽  
Wireless Technologies ◽  
Handoff Management ◽  
4G Wireless

Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the improvement of end-to-end Quality of Service (QoS), supporting multmedia services over wide area and enabling users to specify their personal preferences. The integration and interoperability of this multitude of available networks will lead to the emergence of the fourth generation (4G) of wireless technologies. 4G wireless technologies have the potential to provide these features and many more, which at the end will change the way we use mobile devices and provide a wide variety of new applications. However, such technology does not come without its challenges. One of these challenges is the user’s ability to control and manage handoffs across heterogeneous wireless networks. This chapter proposes a solution to this problem using Artificial Neural Networks (ANNs). The proposed method is capable of distinguishing the best existing wireless network that matches predefined user preferences set on a mobile device when performing a vertical handoff. The overall performance of the proposed method shows 87.0 % success rate in finding the best available wireless network.

Handoff Management in Next Generation Wireless Networks

2010 ◽  
pp. 55-76
Author(s):  
Nidal Nasser ◽  
Tarek Bejaoui
Keyword(s):  
Wireless Networks ◽  
Wireless Network ◽  
Heterogeneous Wireless Networks ◽  
User Preferences ◽  
Fourth Generation ◽  
Vertical Handoff ◽  
Next Generation ◽  
Wireless Technologies ◽  
Handoff Management ◽  
4G Wireless

Major research challenges in the next generation of wireless networks include the provisioning of worldwide seamless mobility across heterogeneous wireless networks, the improvement of end-to-end Quality of Service (QoS), supporting multmedia services over wide area and enabling users to specify their personal preferences. The integration and interoperability of this multitude of available networks will lead to the emergence of the fourth generation (4G) of wireless technologies. 4G wireless technologies have the potential to provide these features and many more, which at the end will change the way we use mobile devices and provide a wide variety of new applications. However, such technology does not come without its challenges. One of these challenges is the user’s ability to control and manage handoffs across heterogeneous wireless networks. This chapter proposes a solution to this problem using Artificial Neural Networks (ANNs). The proposed method is capable of distinguishing the best existing wireless network that matches predefined user preferences set on a mobile device when performing a vertical handoff. The overall performance of the proposed method shows 87.0 % success rate in finding the best available wireless network.

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