Intelligent parking lot application using wireless sensor networks

By Sangwon Lee, Duk-byung Yoon, Amitabha Ghosh. 2008

223 citations recorded by the source corpus.

Subfields: Building and Construction, Electrical and Electronic Engineering, Ocean Engineering

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Building and Construction

1. Ala Al-Fuqaha
2. Mohsen Guizani

In Electrical and Electronic Engineering

1. Billy Pik Lik Lau
2. Ala Al-Fuqaha
3. U-Xuan Tan
4. Yuren Zhou
5. Meng Zhang
6. Naveed Ul L. Hassan
7. Marakkalage Sumudu Hasala
8. Mohammad Ali Salahuddin

In Ocean Engineering

1. Ala Al-Fuqaha
2. Michele Zorzi
3. Marimuthu Swami Palaniswami
4. Chau Yuen
5. Mohsen Guizani
6. J. Gubbi
7. Slaven Marusic

Citations in the corpus

• A survey of data fusion in smart city applications (2019, methodology): “Examples of the physical sensors include temperature [81], air quality [82], camera [83], ultrasonic [84], LiDAR [85], and etc. Note that, we categorize smart city application based on the data sources rather than the method they are acquired.”
• New “Smart Parking” System Based on Resource Allocation and Reservations (2013, background): “Overroadway sensors are mounted above the surface of the roadway; examples include video, image, and acoustic signal processors [32]; microwave radar [30]; ultrasonic [17], magnetic, and passive infrared sensors [31]; and radio-frequency identification (RFID) readers [5].”
• Smart Cities: A Survey on Data Management, Security, and Enabling Technologies (2017, methodology): “Wireless sensor networks have been used in [75] for traffic routing and over speeding detection, in [76]–[78] for parking applications, in [79] and [80] for an intelligent traffic signal control system, in [81] for road safety applications and in [82] for monitoring vehicles’ behavior to name a few.”
• An Information Framework for Creating a Smart City Through Internet of Things (2014, background): “Most of the systems work autonomously in a three-tier mode where the lowest tier motes are attached to sensors (usually glued to the ground), the middle tier contains forwarders (connected to light poles), and the uppermost tier contains base stations connected to an Internet-enabled device [18].”
• A Survey of Smart Parking Solutions (2017, background): “Optical sensors must be installed where light can be obscured by a parked vehicle [25], [32], [66]–[69].”
• Internet of Things for Smart Cities (2014, background): “sensors and intelligent displays that direct motorists along the best path for parking in the city [20].”