Vertical Handover Over Intermediate Switching Framework: Assuring Service Quality for Mobile Users

Yadav, Aditya; Barooah, Maushumi; Chakraborty, Sandip; Nandi, Sukumar

doi:10.1007/s11277-013-1518-9

Cited by 4 publications

(1 citation statement)

References 29 publications

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“…3) handoff decision algorithm based on multi-attribute utility function, users make vertical handoff decision according to the access network, traffic and users, etc [20][21][22][23][24] ; Users construct the utility function according to each network's RSS, network bandwidth, service type and other performance parameters, compute the optimal utility function value to determine the optimal handoff network [25][26][27][28][29][30][31] . This algorithm can ensure the validity and reliability of the switching, but there are various attributes, which need to set as the weight parameter and exist the problem of structuring the optimal utility function.…”

Section: Introductionmentioning

confidence: 99%

An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

Hong

Xie

et al. 2015

China Commun.

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In order to solve the problem the existing vertical handoff algorithms of vehicle heterogeneous wireless network do not consider the diversification of network's status, an optimized vertical handoff algorithm based on markov process is proposed and discussed in this paper. This algorithm takes into account that the status transformation of available network will affect the quality of service (QoS) of vehicle terminal's communication service. Firstly, Markov process is used to predict the transformation of wireless network's status after the decision via transition probability. Then the weights of evaluating parameters will be determined by fuzzy logic method. Finally, by comparing the total incomes of each wireless network, including handoff decision incomes, handoff execution incomes and communication service incomes after handoff, the optimal network to handoff will be selected. Simulation results show that: the algorithm proposed, compared to the existing algorithm, is able to receive a higher level of load balancing and effectively improves the average blocking rate, packet loss rate and ping-pang effect.

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Section: Introductionmentioning

confidence: 99%

An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

Hong

Xie

et al. 2015

China Commun.

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Vertical Handover Decision Algorithm for Multimedia Streaming in VANET

Hassoune¹,

Maaza²,

Senouci

2017

Wireless Pers Commun

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International audienceVehicular ad hoc networks represent one of the most important applications of wireless ad hoc networks. In highways, where different networks exist, frequent and sometimes unnecessary switches from one network to another may occur, which degrade network performance and affect applications, especially those that require high quality networks such as multimedia applications (Video conferencing, Video On-Demand, etc.). This work presents an analytical model and a Vertical Handover decision method for Highways called VHH. It is based on position, velocity, jitter, and density as mandatory inputs which aim to both minimize Vertical handover frequency and avoid unnecessary handoffs and ping pong effect between different networks, in the goal of enhancing multimedia streaming services in highways. A simulation is provided to prove the performance of the algorithm

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A tutorial survey on vehicular communication state of the art, and future research directions

Singh

Nandi

2019

Vehicular Communications

163

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Vertical Handover Over Intermediate Switching Framework: Assuring Service Quality for Mobile Users

Cited by 4 publications

References 29 publications

An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

An optimized vertical handoff algorithm based on Markov process in vehicle heterogeneous network

Vertical Handover Decision Algorithm for Multimedia Streaming in VANET

A tutorial survey on vehicular communication state of the art, and future research directions

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