Name
Title | ||
|---|---|---|
Handover prediction for wireless networks in office environments using Hidden Markov Model |
Abstract | ||
|---|---|---|
User mobility can cause severe degradation of QoS, which can be counteracted by performing handovers at the right moment. However, to perform a robust handover is a challenging task. In this paper, we study the handover problem for mobile wireless networks in the office environment, where the users' mobility is predictable. We propose a new mechanism using the Hidden Markov Model (HMM) to predict the Received Signal Strength (RSS) values. Based on the predicted values, each mobile user can perform the handover decision on his own using his preferred decision making algorithm. Extensive simulations were carried out for an office environment to evaluate the performance of the prediction handover scheme. The results showed that our HMM model can predict the RSS values accurately. The knowledge obtained from prediction is considered in the handover decision making algorithm, which can result in a seamless handover. Moreover, with the knowledge about the future RSS, mobile users can avoid multiple handovers in a short time known as “Ping-Pong” effect, which in turn reduces the signaling overheads on the network. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/WD.2013.6686448 | Wireless Days |
Keywords | Field | DocType |
qos degradation,handover decision making algorithm,quality-of-service,decision making,hmm model,office environments,quality of service,handover prediction,received signal strength value prediction,mobile wireless networks,mobility management (mobile radio),signaling overhead reduction,ping-pong effect,user mobility,hidden markov model,rss,telecommunication signalling,handover prediction problem,office environment,mobile wireless network,hidden markov models | Wireless network,Computer science,Mobile wireless,Quality of service,Computer network,Real-time computing,Signal strength,Hidden Markov model,RSS,Handover,Overhead (business) | Conference |
ISSN | Citations | PageRank |
2156-9711 | 1 | 0.36 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yunqi Luo | 1 | 13 | 2.81 |
| Phuong Nga Tran | 2 | 47 | 7.71 |
| Doruk Sahinel | 3 | 1 | 0.36 |
| Andreas Timm-Giel | 4 | 566 | 71.41 |