Abstract
City-scale sensing holds the promise of enabling deeper insight into how our urban environments function. Applications such as observing air quality and measuring traffic flows can have powerful impacts, allowing city planners and citizen scientists alike to understand and improve their world. However, the path from conceiving applications to implementing them is fraught with difficulty. A successful city-scale deployment requires physical installation, power management, and communications-all challenging tasks standing between a good idea and a realized one. The Signpost platform, presented at IPSN 2018, has been created to address these challenges. Signpost enables easy deployment by relying on harvested, solar energy and wireless networking rather than their wired counterparts. To further lower the bar to deploying applications, the platform provides the key resources necessary to support its pluggable sensor modules in their distributed sensing tasks. In this demo, we present the Signpost hardware and several applications running on a deployment of Signposts on UC Berkeley's campus, including distributed, energy-adaptive traffic monitoring and fine grained weather reporting. Additionally we show the cloud infrastructure supporting the Signpost deployment, specifically the ability to push new applications and parameters down to existing sensors, with the goal of demonstrating that the existing deployment can serve as a future testbed.
Original language | English (US) |
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Title of host publication | Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 124-125 |
Number of pages | 2 |
ISBN (Electronic) | 9781538652985 |
DOIs | |
State | Published - Oct 2 2018 |
Event | 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018 - Porto, Portugal Duration: Apr 11 2018 → Apr 13 2018 |
Publication series
Name | Proceedings - 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018 |
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Conference
Conference | 17th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2018 |
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Country/Territory | Portugal |
City | Porto |
Period | 4/11/18 → 4/13/18 |
Funding
This work was supported in part by the CONIX Research Center, one of six centers in JUMP, a Semiconductor Research Corporation (SRC) program sponsored by DARPA, and in part by Terraswarm, an SRC program sponsored by MARCO and DARPA. Additionally, this material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under grant numbers DGE-1256260 and DGE-1106400, NSF/Intel CPS Security under grant 1505684, and generous gifts from Intel. This work was supported in part by the CONIX Research Center, one of six centers in JUMP, a Semiconductor Research Corporation (SRC) program sponsored by DARPA, and in part by Terraswarm, an SRC program sponsored by MARCO and DARPA. Additionally, this material is based upon work supported by the National Science Foundation Graduate Research Fellowship Program under grant numbers DGE-1256260 and DGE-1106400, NSF/Intel CPS Security under grant 1505684, and generous gifts from Intel. We would also like to thank our anonymous reviewers for their insightful feedback, our shepherd Neal Patwari, and the many collaborators that helped make this work possible. Specifically Amit Levy and the Tock development team for their support in using an under-development operating system, Anthony Rowe, Craig Hesling, and Artur Balanuta for LoRaWAN gateway hardware and support, William Huang for designing the environmental sensing module, Yifan Hao for designing the radar module, Theo Miller for porting the software library to Arduino, Justin Hsieh for work on the communication protocol, Ken Lutz for helping with deployment logistics, and Noah Klugman for help with Signpost assembly.
Keywords
- City Scale Sensing
- Energy harvesting
- Modular
- Platform
- Signpost
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing
- Information Systems and Management