scholarly journals USER-CENTRIC BASED VERTICAL HANDOVER DECISION ALGORITHM FOR TELECARDIOLOGY APPLICATION IN HETEROGENEOUS NETWORKS

2015 ◽  
Vol 77 (7) ◽  
Author(s):  
Hoe Tung Yew ◽  
Eko Supriyanto ◽  
M. Haikal Satria ◽  
Yuan Wen Hau

The traditional telecardiology system which is integrated with a single wireless technology is unable to guarantee the patient always get connected to the telecardiology service provider. To overcome this problem, an adaptive user-centric based vertical handover algorithm is proposed to allow the telecardiology system operates in heterogeneous wireless technologies. The proposed algorithm guarantees the quality of service and maintains the user’s satisfaction at the highest level. The algorithm was compared with traditional quality of service based and cost based vertical handover algorithms. The results show that proposed algorithm is performed better than the traditional algorithms

The vertical handover decision strategy is a challenging problem to support seamless mobility in different wireless technology. The handover decision process is reported to facilitate the required Quality of Service, but bad network selection and overload condition of the chosen network fallout in handover failures. Traditional handoff techniques typically are based on single parameter and are inefficient due to superfluous handovers. In addition, existing fuzzy based handoff method reduces the handover failures but increase the computational complexity. Furthermore, the existing mobile controlled handover techniques are not suitable for heterogeneous environment. Therefore this paper focus the need of efficient, robust and flexible vertical handover technique to reduce the handover failures and design an MADM based network controlled handover that maximize QoS in heterogeneous environment


2018 ◽  
Vol 26 (1) ◽  
pp. 165-180 ◽  
Author(s):  
Divya Parambanchary ◽  
V. Malleswara Rao

Author(s):  
Emad Danish ◽  
Mazin I. Alshamrani

Video streaming is expected to acquire a massive share of the global internet traffic in the near future. Meanwhile, it is expected that most of the global traffic will be carried over wireless networks. This trend translates into considerable challenges for Service Providers (SP) in terms of maintaining consumers' Quality of Experience (QoE), energy consumption, utilisation of wireless resources, and profitability. However, the majority of Radio Resource Allocation (RRA) algorithms only consider enhancing Quality of Service (QoS) and network parameters. Since this approach may end up with unsatisfied customers in the future, it is essential to develop innovative RRA algorithms that adopt a user-centric approach based on users' QoE. This chapter focus on wireless video over Critical communication systems that are inspired by QoE perceived by end users. This chapter presents a background to introduce the reader to this area, followed by a review of the related up-to-date literature.


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