NDLI: Random Access Optimization for M2M Communications in VANET with Wireless Network Virtualization

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Random Access Optimization for M2M Communications in VANET with Wireless Network Virtualization

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Random Access Optimization for M2M Communications in VANET with Wireless Network Virtualization

Content Provider	ACM Digital Library
Author	Zhang, Yanhua Si, Pengbo Li, Meng Sun, Enchang Yu, Fei Richard
Abstract	With the growing interest in the use of internet of things (IoT), machine-to-machine (M2M) communications have become an important networking paradigm. In this paper, with recent advances in wireless network virtualization (WNV), we propose a novel framework for M2M communications in vehicular ad-hoc networks (VANETs) with WNV. In the proposed framework, according to different applications and quality of service (QoS) requirements of vehicles, a hypervisor enables the virtualization of the physical vehicular network, which is abstracted and sliced into multiple virtual networks. Moreover, the process of resource blocks (RBs) selection and random access in each virtual vehicular network is formulated as a partially observable Markov decision process (POMDP), which can achieve the maximum reward about transmission capacity. The optimal policy for RBs selection is derived by virtue of a dynamic programming approach. Extensive simulation results with different system parameters are presented to show the performance improvement of the proposed scheme.
Starting Page	1
Ending Page	7
Page Count	7
File Format	PDF
ISBN	9781450345064
DOI	10.1145/2989275.2989284
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-11-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Machine-to-machine (m2m) communications Vehicular ad-hoc networks (vanets) Wireless network virtualization (wnv) Random access
Content Type	Text
Resource Type	Article

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