This paper clarifies that 802.15.4k direct sequence spread spectrum (DSSS) systems are suitable for wide sensor networks with star topology. According to our evaluation, the robustness of 802.15.4k DSSS systems under ...
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With the construction of smart grid, more and more services have been carried on the power information communication network. In order to ensure the reliability and security of the smart communication network, communi...
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ISBN:
(纸本)9781467386005
With the construction of smart grid, more and more services have been carried on the power information communication network. In order to ensure the reliability and security of the smart communication network, communication service in the network must be transmitted with security and isolation. By studying the current situation of multi-service bearer of power and analyzing the communication needs of power distribution service and the multi-service isolation requirements, this paper proposes implementation schemes of special wireless power network multi task operation and isolation based on the RAN-SHARING and physical isolation. Besides, it also puts forward the power service safety isolation technology, based on all-optical wavelength and optical label mixed switching technology, which eventually realizes service physical isolation in different security region and logic isolation in the same security region, provides the technical support for the multi-task bearing and accessing of future smart grid. The application results show that the scheme can effectively keep service executing safely and improve the power service level.
In order to reduce sensor node power consumption and interference, high gain antennas are required for the base station (BS) but this means multiple BS antennas are required for 360° area coverage. A high gain be...
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Ambient information collected by wireless sensor networks (WSNs) (e.g. space, environment or physiological data) is made available to end-user applications via gateways. In situations where infrastructure-based networ...
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Ambient information collected by wireless sensor networks (WSNs) (e.g. space, environment or physiological data) is made available to end-user applications via gateways. In situations where infrastructure-based networks are not available, these gateways and end-user applications are usually implemented as distributed entities forming P2P overlays. Enabling the interconnection of these application and gateway entities faces crucial challenges due to the nature of infrastructure-less networks such as MANETs and the heterogeneity of protocols, middleware, etc. that are employed by these entities. This paper proposes an architecture that will interconnect overlay gateways for WSNs with end-user applications in MANETs. The architecture relies on interconnector nodes that do not belong to either of the two overlays. A motivating scenario is presented, requirements are derived, and the proposed interconnection architecture is described. The prototype is also briefly discussed along with the performance evaluation.
The Internet of Things (IoT) has various fields of application including health care, resource management, asset tracking, etc. Depending on the use case, various technologies like RFID, Wireless sensor Network (WSN) ...
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The Internet of Things (IoT) has various fields of application including health care, resource management, asset tracking, etc. Depending on the use case, various technologies like RFID, Wireless sensor Network (WSN) or Smart Objects can be used. With each of these comes a specific vision of what the IoT and connected objects are and -- to our knowledge -- there is no global picture of the IoT. The issue with this approach is that specific problems have been addressed before global ones: what if something has been missed? We propose a definition and taxonomy for connected objects and the IoT.
In several application scenarios, like the case of structural monitoring, it is important to model and represent the Wireless sensor Networks (WSN) to be deployed. To model the components and properties of an entire W...
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This work discusses the development of a novel dynamic pulsed eddy current system that provides the ability to measure the remaining wall thickness of carbon steel and cast iron pipe through liners. The differential p...
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Emerging technologies that support sensor networks are making available large volumes of sensed data. Commonly, sensed data entries are characterized by several sensed attributes and can be related to static attribute...
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With the emergence in 3D sensors such as laser scanners and 3D reconstruction from cameras, large 3D point clouds can now be sampled from physical objects within a scene. The raw 3D samples delivered by these sensors ...
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ISBN:
(纸本)9789897580918
With the emergence in 3D sensors such as laser scanners and 3D reconstruction from cameras, large 3D point clouds can now be sampled from physical objects within a scene. The raw 3D samples delivered by these sensors however, contain only a limite d degree of information about the environment the objects exist in, which means that further geometrical high-level modelling is essential. In addition, issues like sparse data measurements, noise, missing samples due to occlusion, and the inherently huge datasets involved in such representations makes this task extremely challenging. This paper addresses these issues by presenting a new 3D shape modelling framework for samples acquired from 3D sensor. Motivated by the success of nonlinear kernel-based approximation techniques in the statistics domain, existing methods using radial basis functions are applied to 3D object shape approximation. The task is framed as an optimization problem and is extended using non-smooth L1 total variation regularization. Appropriate convex energy functionals are constructed and solved by applying the Alternating Direction Method of Multipliers approach, which is then extended using Gauss-Seidel iterations. This significantly lowers the computational complexity involved in generating 3D shape from 3D samples, while both numerical and qualitative analysis confirms the superior shape modelling performance of this new framework compared with existing 3D shape reconstruction techniques.
Wireless sensor Networks Running (WSN) functionality depends critically on the network connectivity. The connectivity is generally determined by the node density and the nodes' transmission range. However, the app...
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