Updating price tags in a large-scale market is a recurrent task, still performed manually in most markets. Given that human-errors can easily lead to customer complaints and accounting inaccuracies, the ability to aut...
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ISBN:
(纸本)9781450336314
Updating price tags in a large-scale market is a recurrent task, still performed manually in most markets. Given that human-errors can easily lead to customer complaints and accounting inaccuracies, the ability to autonomously reconfigure price tags can be of significant benefit. Withthe introduction of low-power display techniques such as electronicink, applications of enabling electronic, wirelessly reconfigurable price tags show potential for future deployment. In this work, we examine networking architectures that can be applied in such scenarios. through a series of preliminary pilot studies in an actual supermarket, we show that the performance of existing protocols are not ready to overcome the unique challenges of busy market environments. We identify underlying technical challenges and propose MarketNet, an asymmetric transmission power-based system designed for densely populated, obstacle-rich, downwards traffic-oriented environments. We evaluate MarketNet in a large indoor market visited by 5000+ customers per day. Our results show that MarketNet addresses the challenges of the target application and environment, while achieving higher packet delivery performance with noticeably lower radio duty-cycles than existing protocols such as RPL and SHDP.
this paper studies the impact of clock mismatches in spatially distributed real-time control systems. We consider a configuration in which sensor measurements are collected by one processor that transmits the measurem...
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We present a distributed custom developed low cost sensing middleware named Shonabondhu that is able to handle flash flood in developing countries like Bangladesh.
ISBN:
(纸本)9781450336314
We present a distributed custom developed low cost sensing middleware named Shonabondhu that is able to handle flash flood in developing countries like Bangladesh.
We describe Tethys, an energy-harvesting wireless water flow sensorthat can monitor water use at a per-fixture level withthe intention of associating water use with specific individuals. Tethys was motivated by rece...
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ISBN:
(纸本)9781450336314
We describe Tethys, an energy-harvesting wireless water flow sensorthat can monitor water use at a per-fixture level withthe intention of associating water use with specific individuals. Tethys was motivated by recent efforts at Stanford University to reduce water use due to the California drought. Understanding how the university population uses water at per-person level can greatly influence policies and conservation approaches. Tethys uses Bluetooth Smart to both identify individuals as well as asynchronously upload data to the cloud for later analysis. We describe two challenges encountered in deploying Tethys: energy harvesting design and the mechanical considerations for high-pressure water at high temperatures.
We consider the problem of data collection from a large-scale energy harvesting sensors in smart city. We study a novel scheduling optimisation model for WSN with Wireless Power Transfer (WPT), that maximises the amou...
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ISBN:
(纸本)9781450336314
We consider the problem of data collection from a large-scale energy harvesting sensors in smart city. We study a novel scheduling optimisation model for WSN with Wireless Power Transfer (WPT), that maximises the amount of collected data under constraints of radio link quality and WPT efficiency, while ensuring a fair data reception. A WPT-WSN testbed is built and preliminary results show that the WPT efficiency is jointly affected by distance between WPT transmitter and receiver, and their antenna orientation.
We present a communication protocol called Choco, which efficiently supports various traffic demands with end-to-end reliability in multi-hop Wireless sensor Networks (WSNs). To achieve this, Choco uses fine-grained s...
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ISBN:
(纸本)9781450336314
We present a communication protocol called Choco, which efficiently supports various traffic demands with end-to-end reliability in multi-hop Wireless sensor Networks (WSNs). To achieve this, Choco uses fine-grained scheduling based on the insight that acknowledgements (ACKs) between ends can be delivered with little overhead using concurrent transmission. Specifically, the slot assignment is dynamically scheduled up to several times a second according to traffic loads and packet losses. We show that Choco achieves higher efficiency and reliability than ORPL+BF, which is a state-of-the-art collection protocol, for periodic traffic environments. Also, we show that in a networked imaging application, which generates burst traffic, Choco can successfully collect 5 VGA images with high efficiency from 5 nodes in approximately 168~s in an average 4.0~hop network.
this paper presents a non-invasive human activity monitoring system with a low-cost Doppler sensor and a pair of radio frequency (RF) sensors. this radio-based system combines the strengths of two sensing modalities: ...
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ISBN:
(纸本)9781450336314
this paper presents a non-invasive human activity monitoring system with a low-cost Doppler sensor and a pair of radio frequency (RF) sensors. this radio-based system combines the strengths of two sensing modalities: fine granularity from a Doppler sensor and large sensing coverage from an RF link. the system is capable of detecting subtle human motion such as breathing, as well as walking in a large area. We deploy the system and perform experiments in a 5.5 m by 7.5 m room to classify four activities. Experimental results show that the average classification rate is 90%, 31% more accurate than a single Doppler system.
Face recognition is one of the most popular research problems on various platforms. New research issues arise when it comes to resource constrained devices, such as smart glasses, due to the overwhelming computation a...
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ISBN:
(纸本)9781450336314
Face recognition is one of the most popular research problems on various platforms. New research issues arise when it comes to resource constrained devices, such as smart glasses, due to the overwhelming computation and energy requirements of the accurate face recognition methods. In this paper, we have prototyped a robust and efficient sensor-assisted face recognition system on smart glasses by exploring the power of multimodal sensors including the camera and Inertial Measurement Unit (IMU) sensors. Evaluation shows that the prototyped system is up to 10% more accurate than the state-of-the-art face recognition methods while its computational cost is in the same order as an efficient benchmark method (e.g., Eigenface).
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