DocumentCode :
1606090
Title :
An Enhanced-MDP Based Vertical Handoff Algorithm for QoS Support over Heterogeneous Wireless Networks
Author :
Sharna, Shusmita A. ; Amin, Mohammad R. ; Murshed, Manzur
fYear :
2011
Firstpage :
289
Lastpage :
293
Abstract :
Vertical handoff plays an important role in guaranteeing users to be always connected in an overlapped multi-network environment. During the vertical handoff procedure, handoff decision is the most important step that affects the normal working of communication. An incorrect handoff decision or selection of a non-optimal network may result in undesirable effects such as higher costs, poor quality of service (QoS) experience, and even dropped communication. Among the existing vertical handoff decision algorithms, the Markov Decision Process (MDP) based algorithm by Stevens-Navarro et al. is promising due to its ability to achieve the optimal expected reward. However, the reward function used by this algorithm is flawed as it favors reducing expected number of vertical handoffs at the expense of diminished expected values of other QoS parameters. This paper presents an extended MDP based algorithm (EMDP) with novel reward function formulation. Analysis shows that EMDP outperforms the MDP based algorithm in terms of improved expected values of all QoS parameters considered while keeping the vertical handoff number reasonably low.
Keywords :
Markov processes; mobility management (mobile radio); quality of service; radio networks; EMDP; Markov decision process; QoS; enhanced-MDP based vertical handoff algorithm; extended MDP based algorithm; handoff decision; heterogeneous wireless networks; nonoptimal network; vertical handoff procedure; Algorithm design and analysis; Bandwidth; Delay; Jitter; Markov processes; Quality of service; Wireless LAN; heterogenous wireless networks; markov decision process; vertical handoff;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Network Computing and Applications (NCA), 2011 10th IEEE International Symposium on
Conference_Location :
Cambridge, MA
Print_ISBN :
978-1-4577-1052-0
Electronic_ISBN :
978-0-7695-4489-2
Type :
conf
DOI :
10.1109/NCA.2011.49
Filename :
6038618
Link To Document :
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