Enhancement of mobile IPV6 for handover latency using robust regression model
The recent applications of wireless networks demand high Quality of Service (QoS) and mobility management between access networks. For this reason, emergent advances in IEEE 802.11 standards have been witnessed to achieve seamless communication between mobile nodes. However, since existing handover...
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my-utm-ep.307722020-08-30T08:16:22Z Enhancement of mobile IPV6 for handover latency using robust regression model 2012 Hares Wady, Shakhawan TA Engineering (General). Civil engineering (General) The recent applications of wireless networks demand high Quality of Service (QoS) and mobility management between access networks. For this reason, emergent advances in IEEE 802.11 standards have been witnessed to achieve seamless communication between mobile nodes. However, since existing handover mechanisms have shortcomings in terms of mobility handover cost and latency, more robust handover decision approach should be considered. To this end, this research proposed a decision approach to accurately trigger handover process between current and next access point. The proposed approach incorporates robust regression model is to predict the received signal strength (RSS) of the wireless channel between the Mobile Node (MN) and the access point. Thus, theMN makes an accurate handover decision as well as layer 3 handover process occurs in advance to the one in layer 2. Our theoretical analysis and simulation results show that the proposed handover decision approach performs the best compared to the existing handover decision schemes in terms of handover latency and cost. 2012 Thesis http://eprints.utm.my/id/eprint/30772/ http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:70359?site_name=Restricted Repository masters Universiti Teknologi Malaysia, Faculty of Civil Engineering Faculty of Civil Engineering |
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TA Engineering (General) Civil engineering (General) |
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TA Engineering (General) Civil engineering (General) Hares Wady, Shakhawan Enhancement of mobile IPV6 for handover latency using robust regression model |
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The recent applications of wireless networks demand high Quality of Service (QoS) and mobility management between access networks. For this reason, emergent advances in IEEE 802.11 standards have been witnessed to achieve seamless communication between mobile nodes. However, since existing handover mechanisms have shortcomings in terms of mobility handover cost and latency, more robust handover decision approach should be considered. To this end, this research proposed a decision approach to accurately trigger handover process between current and next access point. The proposed approach incorporates robust regression model is to predict the received signal strength (RSS) of the wireless channel between the Mobile Node (MN) and the access point. Thus, theMN makes an accurate handover decision as well as layer 3 handover process occurs in advance to the one in layer 2. Our theoretical analysis and simulation results show that the proposed handover decision approach performs the best compared to the existing handover decision schemes in terms of handover latency and cost. |
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Thesis |
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Master's degree |
author |
Hares Wady, Shakhawan |
author_facet |
Hares Wady, Shakhawan |
author_sort |
Hares Wady, Shakhawan |
title |
Enhancement of mobile IPV6 for handover latency using robust regression model |
title_short |
Enhancement of mobile IPV6 for handover latency using robust regression model |
title_full |
Enhancement of mobile IPV6 for handover latency using robust regression model |
title_fullStr |
Enhancement of mobile IPV6 for handover latency using robust regression model |
title_full_unstemmed |
Enhancement of mobile IPV6 for handover latency using robust regression model |
title_sort |
enhancement of mobile ipv6 for handover latency using robust regression model |
granting_institution |
Universiti Teknologi Malaysia, Faculty of Civil Engineering |
granting_department |
Faculty of Civil Engineering |
publishDate |
2012 |
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1747815744581664768 |