| Title |
Spatial and Temporal Analysis of Urban Space Utilization with Renewable Wireless Sensor Network |
| ID_Doc |
41779 |
| Authors |
Lau, BPL; Chaturvedi, T; Ng, BKK; Li, K; Hasala, MS; Yuen, C |
| Title |
Spatial and Temporal Analysis of Urban Space Utilization with Renewable Wireless Sensor Network |
| Year |
2016 |
| Published |
|
| DOI |
10.1145/3006299.3006308 |
| Abstract |
Space utilization are important elements for a smart city to determine how well public space are being utilized. Such information could also provide valuable feedback to the urban developer on what are the factors that impact space utilization. The spatial and temporal information for space utilization can be studied and further analyzed to generate insights about that particular space. In our research context, these elements are translated to part of big data and Internet of things (IoT) to eliminate the need of on site investigation. However, there are a number of challenges for large scale deployment, eg. hardware cost, computation capability, communication bandwidth, scalability, data fragmentation, and resident privacy etc. In this paper, we designed and prototype a Renewable Wireless Sensor Network (RWSN), which addressed the aforementioned challenges. Finally, analyzed results based on initial data collected is presented. |
| Author Keywords |
Big Data; Internet of Things; Smart City; Wireless Sensor Network; Human Sensing; Space Utilization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000408919800015 |
| WoS Category |
Computer Science, Artificial Intelligence; Computer Science, Information Systems |
| Research Area |
Computer Science |
| PDF |
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