Performance analysis of a polling-based access control combining with the sleeping schema in V2I VANETs for smart cities

  • Min He
  • , Zheng Guan
  • , Liyong Bao
  • , Zhaoxu Zhou
  • , Marco Anisetti
  • , Ernesto Damiani
  • , Gwanggil Jeon

Research output: Contribution to journalArticlepeer-review

7 Scopus citations

Abstract

In vehicular ad hoc networks (VANETs), one of the important challenges is the lack of precise mathematical modeling taking into account the passive vacation triggered by the zero-arrival state of nodes. Therefore, a polling-based access control is proposed in this paper using a sleeping schema to meet the challenge of quality of service (QoS) and energy-efficient transport in VANET environments for smart cities. Based on IEEE 802.11p, it was developed in an attempt to improve the energy efficiency of the hybrid coordination function of controlled channel access (HCCA) through a self-managing sleeping mechanism for both the roadside unit (RSU) and on-board units (OBUs) or sensor nodes according to the traffic load in vehicle -to-infrastructure (V2I) scenarios. Additionally, a Markov chain was developed for analyzing the proposed mechanism, and the exact mathematical model is provided with regard to the passive vacation. Then, the performance characteristics-including the mean cyclic period, delay, and queue length-were accurately obtained. In addition, the closed-form expression of the quantitative relationship among sleeping time, performance characteristics, and service parameters was obtained, which can easily evaluate the energy efficiency. It was proven that theoretical calculations were completely consistent with simulation results. The simulation results demonstrate that the suggested method had much lower energy consumption than the standard strategy at the expense of rarely access delay.

Original languageBritish English
Article number503
JournalSustainability (Switzerland)
Volume11
Issue number2
DOIs
StatePublished - 18 Jan 2019

Keywords

  • Energy efficiency
  • ICTS
  • Polling control
  • Probability generating function
  • Smart cities
  • Vehicle-to-infrastructure (V2I)
  • Vehicular Ad-hoc networks (VANETs)

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