This paper addresses monitoring and surveillance applications using Wireless sensorsnetworks (WSNs). In this context, several remote clients are interested in receiving the information collected by the nodes of a WSN...
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ISBN:
(纸本)9789898565457
This paper addresses monitoring and surveillance applications using Wireless sensorsnetworks (WSNs). In this context, several remote clients are interested in receiving the information collected by the nodes of a WSN. As WSN devices are most of the time constrained in energy and processing, we present a caching architecture that will help reducing unnecessary communications and adapting the network to application needs. Our aim here is to cache information in order to improve the overall network lifetime, while meeting requirements of external applications in terms information freshness. We first describe and evaluate the performance of our caching system using a Constrained Application Protocol (CoAP)-HTTP proxy. We then extend this work by showing how the cache could be enriched and exploited using cross-layer data. Based on information from routing packets and estimations of nodes power consumption, we derive an optimization strategy which allows to either maximize the user satisfaction, expressed in terms of freshness of cached data, in the presence of constraints on network lifetime, or jointly maximize network lifetime and user satisfaction, obtaining a set of non-dominated Pareto optimal solutions.
Object-detection and classification is a key task in micro-and nanohandling. The microscopy image is often the only available sensor to detect information about the positions and orientations of objects. FPGA-based im...
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ISBN:
(纸本)9781467353205
Object-detection and classification is a key task in micro-and nanohandling. The microscopy image is often the only available sensor to detect information about the positions and orientations of objects. FPGA-based image processing is superior to state of the art PC-based image processing in terms of achievable update rate, latency and jitter. Development of specialized FPGA solutions for object detection and tracking using a hardware-description language is time consuming and requires deep knowledge of the target system. Using SystemC, a C++ based class library, fast implementation with less knowledge of the system is possible. However, the gain in development speed is accompanied by higher resource usage of the FPGA and lower performance regarding computation speed. In this paper, several image processing algorithms are implemented in both manners and are compared regarding achievable update-rate, resource consumption and development time. The SystemC implementations could be implemented twice as fast and with less knowledge about the system. The increased resource usage of SystemC is negligible for small series and prototyping applications, while the decreased computation speed may be problematic for high-speed applications.
A smart wireless sensor network analytics requirement, beyond routine data collection, aggregation and analysis, in large-scale applications, is the automatic classification of emerging unknown events (classes) from t...
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A smart wireless sensor network analytics requirement, beyond routine data collection, aggregation and analysis, in large-scale applications, is the automatic classification of emerging unknown events (classes) from the known classes. In this paper we present a new form of SVM that combines multiclass classification and anomaly detection into a single step to improve performance when data contains vectors from classes not represented in the training set. We demonstrate how the concepts of structural risk minimisation and anomaly detection are combined and analysing the effect of the various training parameters. The evaluations on several benchmark datasets reveal its ability to accurately classify unknown classes and known classes simultaneously.
Attention control is one of the best ways to reduce information resources and processing. Discontinuous modeling has been used in attention control and has proven some advantages of attention control. In this paper we...
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Internet of Things (IoT) envisions billions of sensors to be connected to the Internet. By deploying intelligent low-level computational devices such as mobile phones in-between sensors and cloud servers, we can reduc...
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Internet of Things (IoT) envisions billions of sensors to be connected to the Internet. By deploying intelligent low-level computational devices such as mobile phones in-between sensors and cloud servers, we can reduce data communication with the use of intelligentprocessing such as fusing and filtering sensor data, which saves significant amount of energy. This is also ideal for real world sensor deployments where connecting sensors directly to a computer or to the Internet is not practical. Most of the leading IoT middleware solutions require manual and labour intensive tasks to be completed in order to connect a mobile phone to them. In this paper we present a mobile application called Mobile sensor Hub (MoSHub). It allows variety of different sensors to be connected to a mobile phone and send the data to the cloud intelligently reducing network communication. Specifically, we explore techniques that allow MoSHub to be connected to cloud based IoT middleware solutions autonomously. For our experiments, we employed Global sensor Network (GSN) middleware to implement and evaluate our approach. Such automated configuration reduces significant amount of manual labour that need to be performed by technical experts otherwise. We also evaluated different methods that can be used to automate the configuration process.
There is a significant potential for Wireless sensornetworks to be used as a general distributed measurement and monitoring system. The integration of computation, communication and sensing enables smart sensors to b...
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There is a significant potential for Wireless sensornetworks to be used as a general distributed measurement and monitoring system. The integration of computation, communication and sensing enables smart sensors to be built that can be adapted to a plethora of application requirements and allow for automated data collection throughout the network. However, the potential end users of this systems are domain experts, who usually do not possess the technical expertise to program, and thus operate, wireless sensor nodes, which prohibits the technology from becoming off-the-shelf equipment. In this paper, we present a method which enables the complexity of programming sensor nodes to be concealed in order to allow domain experts to use wireless sensornetworks in basic applications without the requirement of technical assistance. We propose to use a computer-based specification entry, which generates a configuration parameter set to adjust the sensor node's application behavior. The method has been implemented in a proof-of-concept system and evaluated with test subjects who possess limited programming skills. The results show that users without any prior programming knowledge, or experience with embedded systems, are capable of configuring a sensor node according to a given application scenario within minutes.
""This paper presents a scheme for fault detection and isolation (FDI). It deals with sensors and actuator fault of an induction machine. This scheme is established with artificial intelligent techniques in ...
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ISBN:
(纸本)9781467355476;9781467355490
""This paper presents a scheme for fault detection and isolation (FDI). It deals with sensors and actuator fault of an induction machine. This scheme is established with artificial intelligent techniques in order to resolve two big troubles. The first is the detection problem. It is resolved with the neural network and the second is the isolation difficulty, it solved using the fuzzy logic. The proposed FDI approach is implemented on Matlab/Simulink software and tested under three types of fault (current, speed sensor fault and inverter fault). The obtained results improving the importance of this method. Then, the actuator and sensor fault are detected and isolated successfully.""
Context-aware mobile systems have gained a remarkable popularity in recent years. Mobile devices are equipped with a variety of sensors and become computationally powerful, which allows for real-time fusion and proces...
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ISBN:
(纸本)9781467344715
Context-aware mobile systems have gained a remarkable popularity in recent years. Mobile devices are equipped with a variety of sensors and become computationally powerful, which allows for real-time fusion and processing of data gathered by them. However, most of existing frameworks for context-aware systems, are usually dedicated to static, centralized architectures, and those that were designed for mobile devices, focus mainly on limited resources in terms of CPU and memory, which in nowadays world is no longer a big issue. Mobile platforms require from the context modelling language and inference engine to be simple and lightweight, but on the other hand - to be powerful enough to allow not only solving simple context identification tasks but also more complex reasoning. These, with combination of a large number of sensors and CPU power available on mobile devices result in high energy consumption of a system. The original contribution of this paper is a proposal of an intelligent middleware 14 mobile context-aware frameworks, that is able to learn sensor usage habits, and minimize energy consumption of the system.
The proceedings contain 96 papers. The topics discussed include: personal data management with secure hardware: how to keep your data at hand;crowdsourcing for mobile data management;visual analysis of mobility data;u...
The proceedings contain 96 papers. The topics discussed include: personal data management with secure hardware: how to keep your data at hand;crowdsourcing for mobile data management;visual analysis of mobility data;using mobile agents in vehicular networks for data processing;smartphone-assisted mobility in urban environments for visually impaired users through computer vision and sensor fusion;location privacy management and protection in geo-social networks;distributed complex event processing in sensornetworks;collaborative mobile application and advanced services for smart parking;building accurate 3D spatial networks to enable next generation intelligent transportation systems;efficient spatio-temporal information fusion in sensornetworks;exploiting foursquare and cellular data to infer user activity in urban environments;and continuous query processing for actual and predicted object flow in symbolic space.
Wireless biomedical sensornetworks in healthcare have been a great motivation in providing a timely and effective response in healthcare services as one of the many target applications such networks have. Being heter...
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Wireless biomedical sensornetworks in healthcare have been a great motivation in providing a timely and effective response in healthcare services as one of the many target applications such networks have. Being heterogeneous in real-time traffic attributes associated with each biological sensor, organizing the access to the shared wireless medium becomes a subtle task. This paper exploits a fuzzy logic decision system integrating application traffic diversity to propose a dynamic controlled range for the randomly chosen backoff periods. The dynamically adjusted upper and lower bounds of backoff period introduced on top of the IEEE 802.15.4 medium access control protocol has resulted in a more significant delivery ratio as demonstrated by simulation results in Castalia.
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