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arXiv · 1809.11120

The Case for MUSIC: A Programmable IoT Framework for Mobile Urban Sensing Applications

Shiva R. Iyer·Soumie Kumar·Kate Boxer·Fatima Zarinni·Lakshminarayanan Subramanian
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Abstract

This vision paper presents the case for MUSIC, a programmable framework for building distributed mobile IoT applications for urban sensing. The Mobile Urban Sensing, Inference and Control (MUSIC) framework is contextualized for scenarios where a distributed collection of static or mobile sensors collectively achieve an urban sensing task. The MUSIC platform is designed for urban-centric sensing applications such as location sensing on mobile phones for road traffic monitoring, air quality sensing and urban quality monitoring using remote cameras. This programmable system, at a high level, consists of several small sensors placed throughout a city on mobile vehicles and a centralized controller that makes decisions on sensing in order to achieve certain well-defined objectives such as improving spatial coverage of sensing and detection of hotspots. The system is programmable in that our framework allows one to create custom smart systems by writing custom control logic for sensing. Our contributions are two-fold -- a backend software stack to enable centralized control of distributed devices and programmability, and algorithms for intelligent control in the presence of practical power and network constraints. We briefly present three different urban sensing applications built on top of the MUSIC stack.

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Shiva R. Iyer, Soumie Kumar, Kate Boxer, Fatima Zarinni, Lakshminarayanan Subramanian. 2018-09-28. The Case for MUSIC: A Programmable IoT Framework for Mobile Urban Sensing Applications. https://arxiv.org/abs/1809.11120

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