Oppotunistic crowdsensing framework for Internet of things using Bluetooth low energy

The Journal of Engineering

Anas Basalamah¹ 

[1] Department of Computer Engineering, Umm Al-Qura University, Makkah 21955, Saudi Arabia

关键词: sensor data sensing;    energy-efficient sensing resource;    Internet of Things;    open-source library;    wireless interfaces;    data collection;    sensor data processing;    crowdsourced data analysis;    context aware crowdsensing applications;    Bluetooth low-energy smart sensing;    opportunistic crowdsensing framework;    smartphones;    energy-efficient sensing infrastructure;    crowdsourcing architecture;    sensor data broadcasting;    unified BLE sensing framework;   

DOI  :  10.1049/joe.2016.0062

学科分类：工程和技术（综合）

来源: IET

【 摘 要 】

Researchers have leveraged modern day sensor rich smartphones to collect crowdsourced data and analyse it for different phenomenon of interests. Crowdsensing applications must bear with the limited energy, sensing, and computational resources available on the phone. To relief some burden from the smartphones, the authors envision a new crowdsourcing architecture where low-cost, low-energy sensors embedded in objects around us, i.e. walls, traffic lights, and billboards, providing a variety of sensors depending on their context, e.g. AirQuality, temperature. These devices would carry on the sensing, processing, and broadcasting of sensor data using wireless interfaces. Smartphones on the other hand, would opportunistically discover and collect data from these devices to provide a much better, richer, and energy-efficient sensing infrastructure. They discuss the usage of Bluetooth low energy (BLE) as a new energy-efficient sensing resource for crowdsensing. They focus on defining a unified BLE sensing framework, which provides a number of smart sensing schemes to ease the development of energy efficient and context aware crowdsensing applications. They also provide an open-source library that allows developers to utilise this framework and acts as a layer to support opportunistic crowdsensing out of the box.

【 授权许可】

CC BY