With the growing interest in the use of internet of things (IoT), machine-to-machine (M2M) communications have be- come an important networking paradigm. In this paper, with recent advances in wireless network virtualization (WN- V), we propose a novel framework for M2M communication- s in vehicular ad-hoc networks (VANETs) with WNV. In the proposed framework, according to diferent application- s and quality of service (QoS) requirements of vehicles, a hypervisor enables the virtualization of the physical vehic- ular 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 de- cision process (POMDP), which can achieve the maximum reward about transmission capacity. The optimal policy for RBs selection is derived by virtue of a dynamic program- ming approach. Extensive simulation results with different system parameters are presented to show the performance improvement of the proposed scheme.

Additional Metadata
Keywords Machine-to-machine (M2M) communications, Random access, Vehicular ad-hoc networks (VANETs), Wireless network virtualization (WNV)
Persistent URL dx.doi.org/10.1145/2989275.2989284
Conference 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2016
Citation
Li, M. (Meng), Yu, F.R, Si, P. (Pengbo), Sun, E. (Enchang), & Zhang, Y. (Yanhua). (2016). Random access optimization for M2M Communications in VANET with wireless network virtualization. In DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016 (pp. 1–7). doi:10.1145/2989275.2989284