We study the capabilities of virtual addressing schemes for efficient and failure tolerant routing in sensor networks. In particular, we present the virtual cord protocol (VCP) that uses techniques known from peer-to-...
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We study the capabilities of virtual addressing schemes for efficient and failure tolerant routing in sensor networks. In particular, we present the virtual cord protocol (VCP) that uses techniques known from peer-to-peer networks, i.e. distributed hash tables (DHTs) are used to associate data items in sensor networks with particular node addresses. The addresses of nodes are dynamically maintained by the protocol to form a virtual cord. VCP uses two mechanisms for finding paths to nodes and associated data items: First, it relies on the virtual cord that always points towards the destination. Furthermore, locally available neighborhood information is exploited for greedy routing. Our simulation results show that VCP is able to find paths close to the possible shortest path with very low overhead. The routing performance of VCP, which clearly outperforms other ad hoc routing protocols such as Dynamic MANET On Demand (DYMO), is similar to other virtual addressing schemes, e.g. Virtual Ring Routing (VRR). However, we improved VCP to handle frequent node failures in an optimized way. The results presented in this paper outline the capabilities of VCP to handle such cases.
A novel microring resonator accelerometer is proposed. It is realized by a suspended straight waveguide coupled with a microring resonator. Under the external acceleration, the coupling coefficient is a function of ga...
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A novel microring resonator accelerometer is proposed. It is realized by a suspended straight waveguide coupled with a microring resonator. Under the external acceleration, the coupling coefficient is a function of gap spacing between the two waveguides. The mathematical model of the sensing element is established. Both the finite element method and coupled mode theory are adopted to analyze and optimize the proposed structure. Simulation results show that the mechanical sensitivity is 0.015 μm/g with the working frequency below 500 Hz and cross-axis sensitivity less than 0.001%, which is promising in seismic related applications.
A high level of reliability is a significant requirement for using wireless sensor networks in industrial environments. Model-based evaluation is usually applied in conventional systems to estimate the reliability. In...
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A high level of reliability is a significant requirement for using wireless sensor networks in industrial environments. Model-based evaluation is usually applied in conventional systems to estimate the reliability. In contrast, for analyzing sensor networks, these methods are hardly tested and proven due to the unique properties of that kind of network. This paper presents a first model-based approach to quantitatively assess the reliability of sensor networks. Based on an abstract model of a sensor network, the degree of detail with respect to the characteristic aspects of sensor networks is increased in a stepwise manner. If network topologies are taken into account, analytical methods fail and the assessment of reliability measures has to be done numerically. Finally, a Monte Carlo Simulation is conducted to also cover dynamics in the topology. In conclusion, this paper shows that, by knowledge of link probabilities and lifetime distributions of single sensor nodes, model-based analysis may be used to estimate reliability measures of sensor networks.
作者:
Wei, WeiGuo, HongCREAM Group
State Key Laboratory of Advanced Optical Communication Systems and Networks Institute of Quantum Electronics School of Electronics Engineering and Computer Science Peking University Beijing 100871 China
Based on the random photon emission of laser diode, we propose a new approach for true random number generation with convenient implementation, which is intrinsically bias free and suitable for high speed applications...
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Multi-sensor data fusion systems for environment perception in the automotive domain are regarded as a promising instrument for obtaining dependable vehicular context information. Sensor data from remote sensing devic...
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ISBN:
(纸本)9781424463138;9781424463145
Multi-sensor data fusion systems for environment perception in the automotive domain are regarded as a promising instrument for obtaining dependable vehicular context information. Sensor data from remote sensing devices like radar or laserscanners is transmitted via intra-car networks to electronic control units (ECU) that enable an intelligent, context sensitive vehicle behavior depending on the current traffic situation. Although new bus systems, such as Flexray, offer increased data rates, the communication resources need to be utilized efficiently. In order to do so, two aspects have to be considered: 1) The size of a single object description and 2) the overall number of perceivable objects. In this paper we focus on the latter of the two aspects. We created a flexible discrete event simulation framework that allows for an in-depth analysis of various aspects of environment perception systems. Our simulation covers scenarios consisting of different sensor-sets, traffic scenarios, fusion benefits, and algorithms for context perception. Using this framework we were able to limit the number of objects a single sensor is allowed to perceive and analyze the impact of this limitation on the overall system performance without such restrictions. Our findings include: 1) Bounding the number of relevant objects to a number between 4-8 does not affect the false negative ratio of the system, 2) the overall error and false positive error ratio does not increase by bounding the number of relevant objects, 3) in safety-relevant environment perception systems the number of relevant objects can be reduced even further without compromising the system integrity, and 4) bounding the number of objects at an early stage of signal processing is superior to a reduction at a late stage of signal processing.
A novel ellipse graphic tool is established based on injection-locked rate equations to analyze the cavity mode behavior of injection-locked vertical-cavity surface-emitting lasers. Calculation based on this model sho...
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In this paper, we proposed a novel approach to demonstrate optically controllable pulse group velocity at telecommunication wavelengths in EDF due to CPO. First we reviewed recent advances in slow-light-based optical ...
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Silicon nitride microring resonators were demonstrated as chemical sensors. The microring devices,with diameter of 100 μm, were fabricated using complementary metal oxide semiconductor(CMOS)-compatible technology, ...
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Silicon nitride microring resonators were demonstrated as chemical sensors. The microring devices,with diameter of 100 μm, were fabricated using complementary metal oxide semiconductor(CMOS)-compatible technology, and a high Q factor of 15000 was realized with free spectrum range(FSR) of 2 nm. The structures were further packaged to perform as chemical sensors, and their functionality was proved using deionized water(DI water)and ethanol as detecting mediums. Lastly, the packaged chips were used to detect glucose solutions with various concentrations, and a detection capability of refractive index change of 10–3refractive index unit(RIU) was obtained.
An anomalous DC-suppression in the small signal response is observed experimentally and its relationship with data pattern inversion is investigated for the first time. With the inclusion of a novel OIL reflection int...
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The physical origin and criteria for adjustable data pattern inversion in optical injection locked VCSELs are explained with a novel model including the interference effect of master laser reflection. Simulation resul...
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