We propose a novel algorithm for sensor self-localization in cooperative wireless networks where observations of relative sensor distances are available. The variational message passing (VMP) algorithm is used to impl...
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ISBN:
(纸本)9781457705960
We propose a novel algorithm for sensor self-localization in cooperative wireless networks where observations of relative sensor distances are available. The variational message passing (VMP) algorithm is used to implement a mean field solution to the estimation of the posterior probabilities of the sensor positions in an R 2 scenario. Extension to R 3 is straight-forward. Compared to non-parametric methods based on belief propagation, the VMP algorithm features significantly lower communication overhead between sensors. This is supported by performance simulations which show that the estimated mean localization error of the algorithm stabilizes after approximately 30 iterations.
EcoIMU is a gyro-free, wearable inertial measurement unit (IMU) built with a pair of triaxial accelerometers that are spatially separated and wirelessly connected. It can output the translation and rotation of the bod...
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EcoIMU is a gyro-free, wearable inertial measurement unit (IMU) built with a pair of triaxial accelerometers that are spatially separated and wirelessly connected. It can output the translation and rotation of the body for the purpose of motion tracking and dead reckoning applications. It mitigates error accumulation and drift problems using domain knowledge including pause identification and geometric constraints on the two nodes. This demo shows the EcoIMU system in action by tracking all six degrees of freedom, namely triaxial translation and rotation and showing the results in a 3D animated cube.
Unreliable connectivity and rapidly changing link qualities make it challenging to establish stable addressing in wireless networks. This is especially difficult in communication scenarios where nodes determine their ...
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Unreliable connectivity and rapidly changing link qualities make it challenging to establish stable addressing in wireless networks. This is especially difficult in communication scenarios where nodes determine their own addresses based on the underlying connectivity in the network. In this paper, we present Probabilistic ADdressing (PAD), a virtual coordinate based addressing mechanism that efficiently deals with dynamic communication links in wireless networks. It assigns probabilistic addresses to nodes without needing to pessimistically estimate links over longer periods of time. The routing metric predicts the current location of a node in its address distribution. Our prototype implementation over real testbeds compares PAD with Beacon Vector Routing (BVR), a prominent routing approach in sensornets, and S4, a cluster based extension of BVR and state-of-the-art in point-to-point routing in sensornets. Our results from three widely used testbeds indicate that PAD achieves 3-7 times more stable addressing than BVR, and minimizes the number of transmissions in the network by 26% when compared with S4 under challenging networking conditions.
Monitoring the impact of sleep deprivation on thermoregulation requires a careful measurement of skin temperature across the human body to have precise knowledge and understanding of the stability of circadian rhythms...
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Monitoring the impact of sleep deprivation on thermoregulation requires a careful measurement of skin temperature across the human body to have precise knowledge and understanding of the stability of circadian rhythms, the 24-hour cycles of biological activity. However, medical measurements and clinical trials are often carried out in controlled lab settings, which limits the realism and the duration of data collections, and increases significantly their costs. We aim to provide medical researchers studying the stability of the circadian rhythms with a tool for higher quality data collections. We design and develop a wireless unobtrusive monitoring system for accurate body temperature measurements to be worn by patients for several weeks while they live their normal life. Obtaining a long-lasting highly-accurate measurement system is challenging, as energy and computational resources are severely constrained in miniaturized wearable sensor nodes. We develop a prototype of an active temperature measurement system with 0.02°C accuracy, a lifetime of up to 3 weeks, and real-time feedback to a remote medic. Our preliminary experiments show that we can identify the circadian rhythms also in non-ambulatory environments, indicating that our tool could become a valuable asset for medical research.
Thermocouple sensor for temperature measurement has been widely used,however,the increase of precision is constrained due to the shortcoming of hardware based or table look up method,especially with nonlinear adjustme...
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Thermocouple sensor for temperature measurement has been widely used,however,the increase of precision is constrained due to the shortcoming of hardware based or table look up method,especially with nonlinear adjustment and cold end compensation.A new method was presented to compensate nonlinearity and cold-side-offset for signal processing of thermocouple with RBF neural *** structure of RBF neural networks was proposed and optimized with genetic algorithm,the principle of temperature measurement with thermocouple was analyzed and the neural networks model for signal conditioning was *** simulation experiments show that the algorithm can improve network generation ability and high accurate compensation and nonlinear adjustment for cold-side-offset was realized effectively.
According to the needs of modern agriculture on the crop microenvironment information, the farmland water potential(FWP) soft-sensing network based on WSN could achieve crop micro-environment information collection, p...
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According to the needs of modern agriculture on the crop microenvironment information, the farmland water potential(FWP) soft-sensing network based on WSN could achieve crop micro-environment information collection, processing and transmission. The system was made up of the imbedded gateway and several WSN nodes, and configured relevant WSN nodes based on the requirements of the FWP soft-sensing, such as humiture collection node, illuminance collection node and CO2 concentration collection node etc. The imbedded gateway received the data of all microenvironment information nodes, estimated the FWP value in real-time and communicated with the remote data center. In practical application, it works well.
Wireless sensor devices are used for monitoring patients with serious medical conditions. Communication of content-sensitive and context sensitive datasets is crucial for the survival of patients so that informed deci...
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ISBN:
(纸本)9781617828409
Wireless sensor devices are used for monitoring patients with serious medical conditions. Communication of content-sensitive and context sensitive datasets is crucial for the survival of patients so that informed decisions can be made. The main limitation of sensor devices is that they work on a fixed threshold to notify the relevant Healthcare Professional (HP) about the seriousness of a patient's current state. Further, these sensor devices have limited processor, memory capabilities and battery. A new grid-based information monitoring architecture is proposed to address the issues of data loss and timely dissemination of critical information to the relevant HP. The proposed approach provides an opportunity to efficiently aggregate datasets of interest by reducing network overhead and minimizing data latency. To narrow down the problem domain, in-network processing of datasets with Grid monitoring capabilities is proposed for the efficient execution of the computational, resource and data intensive tasks. Interactive wireless sensornetworks do not guarantee that data gathered from the heterogeneous sources will always arrive at the sink (base) node, but the proposed aggregation technique will provide a fault tolerant solution to the timely notification of a patient's critical state. Experimental results received are encouraging and clearly show a reduction in the network latency rate.
Wireless sensornetworks(WSN) is a hot spot of the research of wireless networks currently, the key of achieving efficient transmission business is to control node energy and improve the network lifetime in wireless s...
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This paper presents a new data transmission protocol in Delay Tolerant Mobile Wireless sensornetworks, which divides the data transmission process into two phases: data reception phase and data forwarding phase, main...
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Traditional Chinese Medicine (TCM) has received considerable attention due to addressing its the real cause of the illness while western medicine treats symptoms. However, the TCM hospitals can not satisfy all those e...
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