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Collecting information about faults, state of surrounding environment and equipment is crucial in systems that could jeopardize human lives, such as trains. Normally, data are obtained via analog sensors which do not have any interface to allow their integration with software systems. Additionally, acquisition and transport of sensor data could suffer interferences in the train's environment due to...
A wireless sensor network equipped with microphones can be used for context awareness by classifying sound events in the target environment. This classification will become less accurate when more than one sound can be heard at the same time. We conduct a series of experiments in which we mix different sound types in order to see how high this influence is. We conclude, that in most cases, the classifier...
Indoor wireless transceivers connect sensors and actuators, which are carried by a mobile agent to the Smart Home Information System (SHIS). In the smart home, the sensors' role is to observe the human activities and home status, while the actuators are to perform assistive and recovery actions for serving the home resident. The SHIS then analyzes the sensors' data and issues the actuation commands...
The paper presents an analysis of variation in attenuation, transmission loss and power spectral density of noise with respect to the change in the frequency of acoustic signals in underwater wireless sensor networks. The effects have been shown by considering the factors like depth, temperature and salinity of sea for calculating the propagation speed of acoustic signals. Results are found to be...
Timely delivery of critical traffic is a major challenge in industrial applications. The Wireless Dominance (WiDOM) medium access control protocol offers a very large number of priority levels to suit time sensitive application requirements. In particular, assuming that its overhead is properly modeled, WiDOM enables an accurate evaluation of the network response time in the wireless domain, through...
This paper presents a new delta-sigma-based transmitter architecture with quantization noise reduction and coding efficiency enhancement for multi-mode wireless sensor network (WSN) applications. The proposed architecture utilizes a finite impulse response (FIR) filter embedded digital power amplifier (DPA) controlled by the output of a 1-bit second order low pass delta-sigma modulator (LPDSM) for...
Wireless Multimedia Sensor Networks (WMSN) are designed to transmit audio and video streams, still images and scalar data. Multimedia transmission over wireless sensor network has many killer applications like, video surveillance system, object tracking, telemedicine, theft control system and traffic monitoring. Researchers are facing many challenges such as higher data rate, lower energy consumption,...
Impulsive noise is one of the key factor that prevents millimeter waves frequencies wireless sensors system to be fully reliable in the railway environment. Measurements of impulsive noise taken in real railway environment are required to understand the behavior of the wireless sensors under these undesired fields. In this paper, impulsive events are extracted and characterized from the measured data...
We consider the problem of distributed detection involving multiple sensor nodes to jointly detect the presence of an unknown signal. To circumvent power/bandwidth constraints, a multilevel quantizer is employed in each sensor to quantize the original observation. The quantized data are transmitted through distortion channels to a fusion center where a generalized likelihood ratio test (GLRT) detector...
As wireless sensor networks (WSN) are used in seemingly limitless applications with more sensor types available, large sensor data sets are acquired and transmitted for additional processing. These large data sets may cause network traffics slow unnecessarily. The unfiltered transmission of raw data will also consume the WSN batteries inefficiently. In recent years, a few techniques have been developed...
This paper studies the Non-Line-Of-Sight condition mitigation issue in mobile subscriber positioning systems by weighting Time-Of-Arrival measures and applying geometrical restrictions. Particularly, this work departs from a more exact characterization of the signal statistics to achieve weighting factors able to reach a more effective mitigation, and consequently a more accurate mobile subscriber...
We analyse the use of a ΔΣ-modulator in the nodes of a wireless sensor network, which is a new method to achieve long term synchronization. We consider star topology WSNs (Wireless Sensor Networks) with a central base station and address timing synchronization using low frequency realtime clocks. The WSN uses a beacon driven TDMA-protocol for bidirectional node/base communication. Between the beacons,...
Various wearable devices are foreseen to be the key components in the future for vital signs monitoring as they offer a non-invasive, remote and real-time medical monitoring means. Among those, Wireless Body Sensors (WBS) for cardiac monitoring are of prominent help to early detect CardioVascular Diseases (CVD) by analyzing 24/24 and 7/7 collected cardiac data. Today, most of these WBS systems for...
This paper presents a 12-channel, low-power, high efficiency neural signal acquisition front-end for local field potential and action potential signals recording. The proposed neural front-end integrates low noise instrumentation amplifiers, low-power filter stages with configurable gain and cut-off frequencies, a successive approximation register (SAR) ADC, and a realtime compressed sensing processing...
Wireless sensor network applications typically include various sensors (temperature, humidity, gas, etc.) and each sensor has different requirements of speed, noise, offset, and power consumption. In order to optimize the performance and allow long-time operation, reconfigurability is mostly desirable in the readout circuitry. In this paper, a reconfigurable time-domain comparator (RTDC) with low...
Underwater sensor networks have a wide range of applications, many of which do not tolerate long delays and time-consuming retransmissions. Moreover, as most sensors are battery powered, saving energy is fundamental to increase network lifetime. In this paper, we investigate the minimum energy consumption for transmitting one bit of information over an underwater acoustic channel. Considering the...
In this paper, we focus on solving the decentralized consensus optimization problem defined over a networked multi-agent system. All the agents shall cooperatively find a common minimizer of the overall objective while each agent holds its own local objective and can only communicate with its neighbors. Motivated by many applications in which the local objective is the sum of a differentiable part...
We study a distributed node-specific signal estimation problem where the node-specific desired signals and/or the sensor observations can have partially-overlapping latent signal subspaces. First, we provide the minimum number of linear combinations of observed sensor signals that each node can broadcast to still let all other nodes achieve the network-wide Linear Minimum Mean-Square Error (LMMSE)...
In this paper, we consider the problem of distributed estimation of node-specific signals in a fully-connected wireless sensor network with multi-sensor nodes. The estimation relies on a data-driven design of a spatial filter, referred to as the generalized eigenvalue decomposition (GEVD)-based multi-channel Wiener filter (MWF). In non-stationary or low-SNR conditions, this GEVD-based MWF has been...
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