Spatial and Temporal Analysis of Urban Space Utilization with Renewable Wireless Sensor Network

By Billy Pik Lik Lau, Tanmay Chaturvedi, Benny Kai Kiat Ng, Kai Li, Marakkalage Sumudu Hasala, Chau Yuen. 2016

18 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Transportation

How researchers see this paper

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

In Computer Networks and Communications

1. Billy Pik Lik Lau
2. Chau Yuen
3. Yuren Zhou
4. Meng Zhang
5. U-Xuan Tan
6. Marakkalage Sumudu Hasala
7. Naveed Ul L. Hassan

In Electrical and Electronic Engineering

1. Billy Pik Lik Lau
2. U-Xuan Tan
3. Yuren Zhou
4. Meng Zhang
5. Naveed Ul L. Hassan
6. Marakkalage Sumudu Hasala
7. Chau Yuen

In Transportation

1. Chau Yuen
2. Billy Pik Lik Lau
3. U-Xuan Tan

Citations in the corpus

• A survey of data fusion in smart city applications (2019, methodology): “In [81], [95], [119], a bottom up urban planning method is implemented, where sensors are installed in a designated region to capture space utilization.”
• Sensor Fusion for Public Space Utilization Monitoring in a Smart City (2017, methodology): “Weather Classification module is used to classify the localized weather state of the sensor and is previously discussed in our work at [8].”
• Understanding the Lifestyle of Older Population: Mobile Crowdsensing Approach (2019, background): “Since smartphones have various types of in-built sensors, there is potential to collect more data easily through smartphone-based applications, when compared to traditional data collection methods such as custom built sensor nodes [3], [4], surveys, and questionnaires.”