In this work, we introduce an Ambient Assisted Living (AAL) system that allows to infer a potential dangerous action of an elderly person living alone at home. this inference is obtained by a specific sensorisation wi...
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ISBN:
(纸本)9783319188331;9783319188324
In this work, we introduce an Ambient Assisted Living (AAL) system that allows to infer a potential dangerous action of an elderly person living alone at home. this inference is obtained by a specific sensorisation withsensor nodes and a reasoning layer embedded in a personal computer that learns of the users behavior patterns and advices when actual one differs significantly in the normal patterns. In this type of systems, energy is a limited resource therefore sensor devices need to be properly managed to conserve energy. In this paper, a force-capacitive transducer based sensor has been proposed, implemented and tested. this sensor is based on Electro-Mechanical Films (EMFiTM) transducer which is able to detect force variations in a quasi-passive way. the transducer is a capacitor with variable capacity depending on the force exerted on its surface. the characterization of the transducer conducted by us in thisway is not present in the literature. this detection of force is used to trigger an activemechanism to measure the weight by means of the transducer capacity, now modelled by us. A low-power wireless sensor node prototype including this new sensor has been assembled and validated with a wide range of weights. the occupancy detection was successful and the power consumption of the node was increased at less than a 15%, which is acceptable for implementation.
作者:
Bosse, StefanUniv Bremen
Dept Math & Comp Sci ISIS Sensorial Mat Sci Ctr D-28359 Bremen Germany
the design and simulation of an agent processing platform suitable for distributed computing in heterogeneous sensor networks consisting of low-resource nodes is presented, providing a unique distributed programming m...
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ISBN:
(纸本)9783319252100;9783319252094
the design and simulation of an agent processing platform suitable for distributed computing in heterogeneous sensor networks consisting of low-resource nodes is presented, providing a unique distributed programming model and enhanced robustness of the entire heterogeneous environment in the presence of node, sensor, link, data processing, and communication failures. In this work multi-agent systems with mobile activity-based agents are used for sensor data processing in unreliable mesh-like networks of nodes, consisting of a single microchip with limited low computational resources, which can be integrated into materials and technical structures. the agent behaviour, based on an activity-transition graph model, the interaction, and mobility can be efficiently integrated on the microchip using a configurable pipelined multi-process architecture based on the Petri-Net model and token-based processing. A new sub-state partitioning of activities simplifies and optimizes the processing platform significantly. Additionally, software implementations and simulation models with equal functional behaviour can be derived from the same program source. Hardware, software, and simulation platforms can be directly connected in heterogeneous networks. Agent interaction and communication is provided by a simple tuple-space database. A reconfiguration mechanism of the agent processing system offers activity graph changes at run-time. the suitability of the agent processing platform in large scale networks is demonstrated by using agent-based simulation of the platform architecture at process level with hundreds of nodes.
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.
the proceedings contain 289 papers. the topics discussed include: automatic generation control of three area hydro-thermal power systems with electric and mechanical governor;a new distributed intelligent clustering p...
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ISBN:
(纸本)9781479939725
the proceedings contain 289 papers. the topics discussed include: automatic generation control of three area hydro-thermal power systems with electric and mechanical governor;a new distributed intelligent clustering protocol (ICP) in wireless sensor networks;an effective technique of ranking for mobile robots;identification and classification of fungal disease affected on agriculture/horticulture crops using image processing techniques;comparative analysis of digital image stabilization by using empirical mode decomposition methods;generalized theory for hybridization of evolutionary algorithms;performance evaluation of task scheduling with priority and non-priority in cloud computing;a vary approach to face recognition veritable mechanisms for android mobile against spoofing;and design of embedded system for tracking and locating the patient suffering from Alzheimer's disease.
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 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.
Batteries are commonly used to power sensors, a fact that carries severe drawbacks such as limited lifetime and regular replacement. Battery powered sensors are particularly impractical in under-water pipelines due to...
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Batteries are commonly used to power sensors, a fact that carries severe drawbacks such as limited lifetime and regular replacement. Battery powered sensors are particularly impractical in under-water pipelines due to limited access. therefore, harvesting of ambient energy to power embeddedsensors is an attractive option for such systems. A method is proposed, in this paper, to power in-pipe wireless sensor nodes based on energy harvesting techniques, with minimal impact to the pipe performance. Based on the initial analysis presented in the paper, models will be developed next to facilitate the design of an energy harvester system for Turkey-Cyprus water pipeline project currently under construction.
the proceedings contain 89 papers. the topics discussed include: chaos: versatile and efficient all-to-all data sharing and in-network processing at scale;practical error correction for resource-constrained wireless n...
ISBN:
(纸本)9781450320276
the proceedings contain 89 papers. the topics discussed include: chaos: versatile and efficient all-to-all data sharing and in-network processing at scale;practical error correction for resource-constrained wireless networks: unlocking the full power of the CRC;lifestreams: a modular sense-making toolset for identifying important patterns from everyday life;piggyback crowdsensing (PCS): energy efficient crowdsourcing of mobile sensor data by exploiting smartphone app opportunities;FOCUS: clustering crowdsourced videos by line-of-sight;coRide: carpool service with a win-win fare model for large-scale taxicab networks;carat: collaborative energy diagnosis for mobile devices;safe system-level concurrency on resource-constrained nodes;and Minerva: distributed tracing and debugging in wireless sensor networks.
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.
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.
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