Abstract:
Since increasing citizen are associated with a major increase in street vehicles and air pollution, and air pollution exposure is a significant risk to urban dwellers. Sp...Show MoreMetadata
Abstract:
Since increasing citizen are associated with a major increase in street vehicles and air pollution, and air pollution exposure is a significant risk to urban dwellers. Spatially and temporally high-resolution air pollution measurement is highly concerned. Conventional people-centric sensing approaches is based on vertical and closed way, and measurement are based on private sensor accessing, gateway-based data bundled and data shared trough cloud server. However, the growing connected devices leads to a certain of high-density crowdsourced surroundings around human in smart city, but how to efficiently read spatiotemporal air pollution data from self-organized smart objects is still poorly understood. To address the issue, this paper proposes a service-oriented service architecture of people-centric internet of things(PIoT) based on smart object. And then, a directly Device-to-Device (D2D) service aggregation mechanism is presented. Finally, a case study of low-cost measurement system for street level air pollution and traffic volume is illustrated.
Published in: 2017 IEEE 21st International Conference on Computer Supported Cooperative Work in Design (CSCWD)
Date of Conference: 26-28 April 2017
Date Added to IEEE Xplore: 16 October 2017
ISBN Information: