the 6TiSCH working group is standardizing the low-power wireless protocol stack for the Industrial IoT. the default scheduling function (SF0) standardized by 6TiSCH uses simple random slot selection. this paper propos...
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ISBN:
(纸本)9781509014590
the 6TiSCH working group is standardizing the low-power wireless protocol stack for the Industrial IoT. the default scheduling function (SF0) standardized by 6TiSCH uses simple random slot selection. this paper proposes the Low Latency Scheduling Function (LLSF), a new scheduling function which daisy-chains timeslots rather than picking them randomly. We implement LLSF in OpenWSN and evaluate its performance experimentally. LLSF yields 82.8% lower end-to-end latency on a 5-hop paththan SF0, at no extra costs.
To form Linked sensor Data, we can generate linkages among the sensor network data described by semantic information and relevant resources in a Linked Open Data cloud, which can make efficient use of sensor network d...
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ISBN:
(纸本)9781467392006
To form Linked sensor Data, we can generate linkages among the sensor network data described by semantic information and relevant resources in a Linked Open Data cloud, which can make efficient use of sensor network data. Based on the analysis of existing interlinking methods of Linked Data and Linked sensor Data publishing systems, according to the property characteristics of sensor network data as well, we propose a similarity comparison algorithm of graph based on heuristic property, to generate linkages among sensor network data and related resources in Linked Open Data cloud effectively.
It is always challenging for deaf and speech-impaired people to communicate with non-sign language users. A real-time sign language recognition system using 3D motion sensors could lower the aforementioned communicati...
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ISBN:
(纸本)9781467392006
It is always challenging for deaf and speech-impaired people to communicate with non-sign language users. A real-time sign language recognition system using 3D motion sensors could lower the aforementioned communication barrier. However, most existing gesture recognition systems are adopting a single sensor framework, whose performance is susceptible to occlusions. In this paper, we proposed a real-time multi-sensor recognition system for American sign language (ASL). Data collected from Leap Motion sensors are fused using multiple sensors data fusion (MSDF) and the recognition is performed using hidden Markov models (HMM). Experimental results demonstrate that the proposed system can deliver higher recognition accuracy over single-sensorsystems. Due to its low implementation cost and higher accuracy, the proposed system can be widely deployed and bring conveniences to sign language users.
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 distributedcomputing 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 distributedcomputing 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.
In this work, we develop an IPv6 enabled smart building test-bed facility, by combining sensing and communication devices and functionalities. We address the Internet of things paradigm by using diverse heterogeneous ...
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ISBN:
(纸本)9781479946181
In this work, we develop an IPv6 enabled smart building test-bed facility, by combining sensing and communication devices and functionalities. We address the Internet of things paradigm by using diverse heterogeneous devices such as smartphones, sensor motes, NFC technology and traditional electrical devices, each one serving a specific role in the test-bed facility. Also, we extend a basic actuation component by making it self-aware, in terms of supported resources. those enhancements allow us to enrich the test-bed's capabilities in terms of M2M communication, portability and decentralization of the actuation process. Finally, we provide a simple smart room scenario for a tunable combination of energy efficiency and comfort, which automatically adjusts the room's light level based on ambient conditions and user preferences and demonstrate the feasibility of our system.
Exploiting multiple radio channels for communication has been long known as a practical way to mitigate interference in wireless settings. In Wireless sensor Networks, however, multi-channel solutions have not reached...
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ISBN:
(纸本)9781479946181
Exploiting multiple radio channels for communication has been long known as a practical way to mitigate interference in wireless settings. In Wireless sensor Networks, however, multi-channel solutions have not reached their full potential: the MAC layers included in TinyOS or the Contiki OS for example are mostly single-channel. the literature offers a number of interesting solutions, but experimental results were often too few to build confidence. We propose a practical extension of low-power listening, MiCMAC, that performs channel hopping, operates in a distributed way, and is independent of upper layers of the protocol stack. the above properties make it easy to deploy in a variety of scenarios, without any extra configuration/scheduling/channel selection hassle. We implement our solution in Contiki and evaluate it in a 97-node testbed while running a complete, out-of-the-box low-power IPv6 communication stack (UDP/RPL/6LoWPAN). Our experimental results demonstrate increased resilience to emulated WiFi interference (e.g., data yield kept above 90% when ContikiMAC drops in the 40% range). In noiseless environments, MiCMAC keeps the overhead low in comparison to ContikiMAC, achieving performance as high as 99% data yield along with sub-percent duty cycle and sub-second latency for a 1-minute inter-packet interval data collection.
Lifetime estimation in Wireless sensor Networks (WSN) is crucial to ensure that the network will last long enough (low maintenance cost) while not being over-dimensioned (low initial cost). Existing solutions have at ...
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ISBN:
(纸本)9781479946181
Lifetime estimation in Wireless sensor Networks (WSN) is crucial to ensure that the network will last long enough (low maintenance cost) while not being over-dimensioned (low initial cost). Existing solutions have at least one of the two following limitations: (1) they are based on theoretical models or high-level protocol implementations, overlooking low-level (e.g., hardware, driver, etc.) constraints which we find have a significant impact on lifetime, and (2) they use an ideal battery model which over-estimates lifetime due to its constant voltage and its inability to model the non-linear properties of real batteries. We introduce a method for WSN lifetime estimation that operates on compiled firmware images and models the complex behavior of batteries. We use the MSPSim/Cooja node emulator and network simulator to run the application in a cycle-accurate manner and log all component states. We then feed the log into our lifetime estimation framework, which models the nodes and their batteries based on both technical and experimental specifications. In a case study of a Contiki RPL/6LoWPAN application, we identify and resolve several low-level implementation issues, thereby increasing the predicted network lifetime from 134 to 484 days. We compare our battery model to the ideal battery model and to the lifetime estimation based on the radio duty cycle, and find that there is an average over-estimation of 36% and 76% respectively.
Imminent massive-scale IoT deployments require a Cloud-sensor architecture to facilitate an ecosystem of friction-free integration and programmability. In addition to these two functional requirements, challenging per...
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ISBN:
(纸本)9781479940936
Imminent massive-scale IoT deployments require a Cloud-sensor architecture to facilitate an ecosystem of friction-free integration and programmability. In addition to these two functional requirements, challenging performance and scalability requirements must be addressed by any such architecture. We have introduced the Cloud-Edge-Beneath (CEB) architecture which addresses scalability and performance through a built-in distributed optimization framework. In this paper, we focus on CEB's optimization framework which follows a bi-directional waterfall model in which not only sensor data can move upward to applications, but applications (fragments) can move downward to lower layers of CEB closer to data sources. the framework enables many optimization ideas and opportunities, including our own. We present the bi-directional waterfall framework along with a sketch of several of our optimization algorithms enabled by the framework. We also present an example of an experimental study to determine dominant resources in the cloud a variable which as will be seen greatly affects the logic of some of the optimization algorithms.
this study designs and implements an embedded system-based distributed private cloud (EBDPC), which is a real-time analyzing device used in a wireless sensor network (WSN) monitoring system application. the proposed s...
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ISBN:
(纸本)9781479961238
this study designs and implements an embedded system-based distributed private cloud (EBDPC), which is a real-time analyzing device used in a wireless sensor network (WSN) monitoring system application. the proposed system consists of several low cost embedded systems for the detection, classification, and measurement of six types of power quality events, including impulse, voltage sag, voltage swell, interruption, harmonics, and flicker. Fast Fourier Transform (FFT) methods are used for automatic signal classification and characterization, and real-time notification for disturbance detection. A light-weighted load balance algorithm is also included in the proposed system for handling a great amount of data collected from electric sensors. the system has been successfully applied to detecting, classifying, and measuring disturbances in a power quality monitoring WSN.
the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) is a significant research project that performs airborne, satellite-borne and ground-based remote sensing experiments at various scales by coordinat...
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ISBN:
(纸本)9781479962365
the Heihe Watershed Allied Telemetry Experimental Research (HiWATER) is a significant research project that performs airborne, satellite-borne and ground-based remote sensing experiments at various scales by coordinating interdisciplinary researchers from different institutions and projects. therefore, in order to discover, access and process sensors within the heterogeneous systems, we use the sensor Model Language (sensorML) to model these sensors and sensorsystems in the stations, and use sensor Observation Service (SOS) to display the sensor information and observation data information. In this paper, we firstly introduce the sensorML and SOS;then mainly present a model of sensor station and the application of this model in SOS.
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