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Prediction Model for Offloading in Vehicular Wi-Fi Network

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@article{IJASEIT1411,
   author = {Mahmoud Abdulwahab Alawi and Raed Alsaqour and Elankovan Sundararajan and Mahamod Ismail},
   title = {Prediction Model for Offloading in Vehicular Wi-Fi Network},
   journal = {International Journal on Advanced Science, Engineering and Information Technology},
   volume = {6},
   number = {6},
   year = {2016},
   pages = {944--951},
   keywords = {Vehicular network; Markov predictor; 4G LTE-A; Wi-Fi; VANET; Prediction Model},
   abstract = {

It cannot be denied that, the inescapable diffusion of smartphones, tablets and other vehicular network applications with diverse networking and multimedia capabilities, and the associated blooming of all kinds of data-hungry multimedia services that passengers normally used while traveling exert a big challenge to cellular infrastructure operators. Wireless fidelity (Wi-Fi) as well as fourth generation long term evolution advanced (4G LTE-A) network are widely available today, Wi-Fi could be used by the vehicle users to relieve 4G LTE-A networks. Though, using IEE802.11 Wi-Fi AP to offload 4G LTE-A network for moving vehicle is a challenging task since it only covers short distance and not well deployed to cover all the roads. Several studies have proposed the offloading techniques based on predicted available APs for making offload decision. However, most of the proposed prediction mechanisms are only based on historical connection pattern. This work proposed a prediction model which utilized historical connection pattern, vehicular movement and driver profile to predict the next available AP.  The proposed model is compared with the existing models to evaluate its practicability.

},    issn = {2088-5334},    publisher = {INSIGHT - Indonesian Society for Knowledge and Human Development},    url = {http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1411},    doi = {10.18517/ijaseit.6.6.1411} }

EndNote

%A Abdulwahab Alawi, Mahmoud
%A Alsaqour, Raed
%A Sundararajan, Elankovan
%A Ismail, Mahamod
%D 2016
%T Prediction Model for Offloading in Vehicular Wi-Fi Network
%B 2016
%9 Vehicular network; Markov predictor; 4G LTE-A; Wi-Fi; VANET; Prediction Model
%! Prediction Model for Offloading in Vehicular Wi-Fi Network
%K Vehicular network; Markov predictor; 4G LTE-A; Wi-Fi; VANET; Prediction Model
%X 

It cannot be denied that, the inescapable diffusion of smartphones, tablets and other vehicular network applications with diverse networking and multimedia capabilities, and the associated blooming of all kinds of data-hungry multimedia services that passengers normally used while traveling exert a big challenge to cellular infrastructure operators. Wireless fidelity (Wi-Fi) as well as fourth generation long term evolution advanced (4G LTE-A) network are widely available today, Wi-Fi could be used by the vehicle users to relieve 4G LTE-A networks. Though, using IEE802.11 Wi-Fi AP to offload 4G LTE-A network for moving vehicle is a challenging task since it only covers short distance and not well deployed to cover all the roads. Several studies have proposed the offloading techniques based on predicted available APs for making offload decision. However, most of the proposed prediction mechanisms are only based on historical connection pattern. This work proposed a prediction model which utilized historical connection pattern, vehicular movement and driver profile to predict the next available AP.  The proposed model is compared with the existing models to evaluate its practicability.

%U http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1411 %R doi:10.18517/ijaseit.6.6.1411 %J International Journal on Advanced Science, Engineering and Information Technology %V 6 %N 6 %@ 2088-5334

IEEE

Mahmoud Abdulwahab Alawi,Raed Alsaqour,Elankovan Sundararajan and Mahamod Ismail,"Prediction Model for Offloading in Vehicular Wi-Fi Network," International Journal on Advanced Science, Engineering and Information Technology, vol. 6, no. 6, pp. 944-951, 2016. [Online]. Available: http://dx.doi.org/10.18517/ijaseit.6.6.1411.

RefMan/ProCite (RIS)

TY  - JOUR
AU  - Abdulwahab Alawi, Mahmoud
AU  - Alsaqour, Raed
AU  - Sundararajan, Elankovan
AU  - Ismail, Mahamod
PY  - 2016
TI  - Prediction Model for Offloading in Vehicular Wi-Fi Network
JF  - International Journal on Advanced Science, Engineering and Information Technology; Vol. 6 (2016) No. 6
Y2  - 2016
SP  - 944
EP  - 951
SN  - 2088-5334
PB  - INSIGHT - Indonesian Society for Knowledge and Human Development
KW  - Vehicular network; Markov predictor; 4G LTE-A; Wi-Fi; VANET; Prediction Model
N2  - 

It cannot be denied that, the inescapable diffusion of smartphones, tablets and other vehicular network applications with diverse networking and multimedia capabilities, and the associated blooming of all kinds of data-hungry multimedia services that passengers normally used while traveling exert a big challenge to cellular infrastructure operators. Wireless fidelity (Wi-Fi) as well as fourth generation long term evolution advanced (4G LTE-A) network are widely available today, Wi-Fi could be used by the vehicle users to relieve 4G LTE-A networks. Though, using IEE802.11 Wi-Fi AP to offload 4G LTE-A network for moving vehicle is a challenging task since it only covers short distance and not well deployed to cover all the roads. Several studies have proposed the offloading techniques based on predicted available APs for making offload decision. However, most of the proposed prediction mechanisms are only based on historical connection pattern. This work proposed a prediction model which utilized historical connection pattern, vehicular movement and driver profile to predict the next available AP.  The proposed model is compared with the existing models to evaluate its practicability.

UR - http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1411 DO - 10.18517/ijaseit.6.6.1411

RefWorks

RT Journal Article
ID 1411
A1 Abdulwahab Alawi, Mahmoud
A1 Alsaqour, Raed
A1 Sundararajan, Elankovan
A1 Ismail, Mahamod
T1 Prediction Model for Offloading in Vehicular Wi-Fi Network
JF International Journal on Advanced Science, Engineering and Information Technology
VO 6
IS 6
YR 2016
SP 944
OP 951
SN 2088-5334
PB INSIGHT - Indonesian Society for Knowledge and Human Development
K1 Vehicular network; Markov predictor; 4G LTE-A; Wi-Fi; VANET; Prediction Model
AB 

It cannot be denied that, the inescapable diffusion of smartphones, tablets and other vehicular network applications with diverse networking and multimedia capabilities, and the associated blooming of all kinds of data-hungry multimedia services that passengers normally used while traveling exert a big challenge to cellular infrastructure operators. Wireless fidelity (Wi-Fi) as well as fourth generation long term evolution advanced (4G LTE-A) network are widely available today, Wi-Fi could be used by the vehicle users to relieve 4G LTE-A networks. Though, using IEE802.11 Wi-Fi AP to offload 4G LTE-A network for moving vehicle is a challenging task since it only covers short distance and not well deployed to cover all the roads. Several studies have proposed the offloading techniques based on predicted available APs for making offload decision. However, most of the proposed prediction mechanisms are only based on historical connection pattern. This work proposed a prediction model which utilized historical connection pattern, vehicular movement and driver profile to predict the next available AP.  The proposed model is compared with the existing models to evaluate its practicability.

LK http://ijaseit.insightsociety.org/index.php?option=com_content&view=article&id=9&Itemid=1&article_id=1411 DO - 10.18517/ijaseit.6.6.1411