| Title | Real time car parking system: A novel taxonomy for integrated vehicular computing |
| Publication Type | Conference Paper |
| Year of Publication | 2017 |
| Authors | Anderson, E. C., Okafor, K. C., Nkwachukwu, O., Dike, D. O. |
| Conference Name | 2017 International Conference on Computing Networking and Informatics (ICCNI) |
| Date Published | oct |
| Keywords | automated vehicular cloud computing, automobiles, Cameras, cellular radio, cloud computing, Cloud Convolution, cloud virtual machine scalability, connected VCs, connected Vehicular Clients, content delivery services, cyber physical systems, data dissemination, data-disseminated real-time services, distributed computing, distributed remote cloud, Fog Computing, fog-edge computing, GH-311RT ultrasonic distance sensor, home automation, Human Behavior, human factors, ICCP prototype testbed, improper parking management scheme, Infrastructure-to-Vehicle, integrated communication-computing platforms, integrated vehicular computing, Internet of Things, Internet of Vehicles, LinkSprite 2MP UART JPEG camera module, Metrics, mobile cloud, mobile computing, networked fog centers, parking lot, pubcrawl, radiofrequency identification, real-time cloud, Real-time Systems, Resiliency, road side sensor based monitoring, Roads, security, self-energized Fog nodes/data centers, Sensors, SHARP 2Y0A21 passive infrared sensor, smart car parking management, smart car parking system, time car parking system, Traffic congestion, traffic engineering computing, transport protocols, Urban areas, vehicular ad hoc networks, Vehicular cloud, vehicular network, vehicular networking |
| Abstract | Automation of real time car parking system (RTCPS) using mobile cloud computing (MCC) and vehicular networking (VN) has given rise to a novel concept of integrated communication-computing platforms (ICCP). The aim of ICCP is to evolve an effective means of addressing challenges such as improper parking management scheme, traffic congestion in parking lots, insecurity of vehicles (safety applications), and other Infrastructure-to-Vehicle (I2V) services for providing data dissemination and content delivery services to connected Vehicular Clients (VCs). Edge (parking lot based) Fog computing (EFC) through road side sensor based monitoring is proposed to achieve ICCP. A real-time cloud to vehicular clients (VCs) in the context of smart car parking system (SCPS) which satisfies deterministic and non-deterministic constraints is introduced. Vehicular cloud computing (VCC) and intra-Edge-Fog node architecture is presented for ICCP. This is targeted at distributed mini-sized self-energized Fog nodes/data centers, placed between distributed remote cloud and VCs. The architecture processes data-disseminated real-time services to the connected VCs. The work built a prototype testbed comprising a black box PSU, Arduino IoT Duo, GH-311RT ultrasonic distance sensor and SHARP 2Y0A21 passive infrared sensor for vehicle detection; LinkSprite 2MP UART JPEG camera module, SD card module, RFID card reader, RDS3115 metal gear servo motors, FPM384 fingerprint scanner, GSM Module and a VCC web portal. The testbed functions at the edge of the vehicular network and is connected to the served VCs through Infrastructure-to-Vehicular (I2V) TCP/IP-based single-hop mobile links. This research seeks to facilitate urban renewal strategies and highlight the significance of ICCP prototype testbed. Open challenges and future research directions are discussed for an efficient VCC model which runs on networked fog centers (NetFCs). |
| DOI | 10.1109/ICCNI.2017.8123788 |
| Citation Key | anderson_real_2017 |
Real time car parking system: A novel taxonomy for integrated vehicular computing