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Title: Efficient real-time coding-assisted heterogeneous data access in vehicular networks
Authors: Ali, G. G. Md. Nawaz
Noor-A-Rahim, Md.
Rahman, Md. Ashiqur
Samantha, Syeda Khairunnesa
Chong, Peter Han Joo
Guan, Yong Liang
Keywords: Vehicle Dynamics
DRNTU::Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Ali, G. G. M. N., Noor-A-Rahim, M., Rahman, M. A., Samantha, S. K., Chong, P. H. J., & Guan, Y. L. Efficient real-time coding-assisted heterogeneous data access in vehicular networks. IEEE Internet of Things Journal, 1-1. doi:10.1109/JIOT.2018.2830315
Series/Report no.: IEEE Internet of Things Journal
Abstract: Through the embedded processors and communication technologies, vehicles are increasingly being connected with the Internet of Things. Recently, much attentions have been paid to network-coding-assisted data broadcast in vehicular networks. However, majority of the works consider all the accessed data items are the same size. In this work, we have studied the network coding-assisted heterogeneous on-demand real-time data access in vehicular networks. Firstly, we have investigated the less efficiency of conventional coding-assisted approach in accessing heterogeneous data items in real-time vehicular environment. Due to ignoring the impact of heterogeneous data items in decoding, the conventional coding does not achieve expected performance in accessing data items with diverse size. Secondly, based on our observations, for efficiently serving heterogeneous data items, we have proposed a dynamic threshold based coding-assisted real-time data broadcast approach called EDF. Thirdly, we have derived the probabilistic analysis of the system performance of the proposed approach and the state-of-the-art approaches. Fourthly, based on our further investigations, we have proposed another approach, called ISXD. The proposed network-coding-assisted ISXD exploits the different MCSs (Modulation and coding scheme) of IEEE 802.11p physical layer for leveraging the variable serving rate considering the dynamic positions of vehicles along with the vehicle mobility. The comprehensive simulation results demonstrate the efficacy of the proposed approaches over the state-of-the-art approaches in terms of improving the on-demand requests serving capability and reducing the system response time.
DOI: 10.1109/JIOT.2018.2830315
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: [].
Fulltext Permission: open
Fulltext Availability: With Fulltext
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