Avaricious crowd sensing for interconnection via the internet of computing mobiles using Bluetooth low energy

E. E. Ocampo*

Department of Electrical Engineering, University of Santo Tomas, Manila, Philippines


To relief some burden from the smartphones, we envision a new crowdsourcing architecture where low cost, low energy sensors embedded in objects around us i.e. walls, traffic lights, billboards, providing a variety of sensors depending on their context, e.g. Air Quality, 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. We chose Bluetooth Low Energy as a wireless interface to communicate with smartphones at a very low energy cost. The Internet of Things (IoT) ecosystem is currently in its early stage and already offering Bluetooth Low Energy-based sensory devices which could serve the purpose of off-device sensing. In this paper, we discuss the usage of Bluetooth Low Energy as a new energy-efficient sensing resource for crowd sensing. We focus on defining a unified Bluetooth Low Energy sensing framework, which provides a number of smart sensing schemes to ease the development of energy-efficient and context-aware crowd sensing applications.


Crowd sensing, Internet of things, Bluetooth low energy

Digital Object Identifier (DOI)


Article history

Received 2 April 2019, Received in revised form 22 August 2019, Accepted 23 August 2019

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Ocampo EE (2019). Avaricious crowd sensing for interconnection via the internet of computing mobiles using Bluetooth low energy. Annals of Electrical and Electronic Engineering, 2(11): 1-6

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