Control point locating scheme of street light network in urban environment

Yue-Shan Chang, Ruey-Kai Sheu and Guang-Ting Wu

International Journal of Distributed Sensor Networks, 2017, vol. 13, issue 3, 1550147717699626

Abstract: Energy conservation is the top-priority policy for public street light infrastructure construction in recent years. Traditional periodically always-on policy guarantees the brightness for dark nights, but it consumes most energy and wastes a lot of money. Hence, there are strong demands to intelligently manage the construction and control over street light infrastructures. In this article, a scheme for locating the control point of street light network in urban district is proposed to replace the conventional always-on policy based on the geographic information of an urban environment. We first exploit the geographic map of an urban district to estimate the total number of street lights, and then partition the district into several adaptive blocks. Finally, the control point of each partitioned block is found and the connection of all street lights is established. Some experiments have been conducted to evaluate the performance and the feasibility of the proposed scheme. And the experimental results demonstrate that the proposed scheme is very reliable and efficient to construct the street light network of urban district.

Keywords: Control point; street light network; street light control system; block partition; illumination map (search for similar items in EconPapers)
Date: 2017
References: Add references at CitEc
Citations:

Downloads: (external link)
https://journals.sagepub.com/doi/10.1177/1550147717699626 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:sae:intdis:v:13:y:2017:i:3:p:1550147717699626

DOI: 10.1177/1550147717699626

Access Statistics for this article

More articles in International Journal of Distributed Sensor Networks
Bibliographic data for series maintained by SAGE Publications ().