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Smartphone capabilities can significantly enhance mobile and context-aware applications that depend on location information. Whereas outdoor Location Based Services (LBS) are highly developed thanks to GPS, indoor LBS still demand a positioning technology that provides accurate location data. In this paper, an ultrasonic signal acquisition module for fine-grained indoor positioning of portable devices,...
In this paper, we apply learning techniques to predict link quality evolution in a WSN and take advantage of wireless links with the best possible quality to improve the packet delivery rate. We model this problem as a forecaster prediction game based on the advice of several experts. The forecaster learns on-line how to adjust its prediction to better fit the environment metric values. Simulations...
Heterogeneous wireless systems such as a combination of mobile broadband wireless access (MBWA) and wireless local area network (WLAN) are candidates to attain the large capacity in the next generation mobile communication systems. For capacity expansion, small cells of multiple wireless network are deployed densely in these systems. Because a number of the cells overlap, users must discover lots...
Brain-computer interface (BCI) users can control very complex applications such as multimedia players or even web browsers. Therefore, different biosignal acquisition systems are available to noninvasively measure the electrical activity of the brain, the electroencephalogram (EEG). To make BCIs more practical, hardware and software are nowadays designed more user centered and user friendly. In this...
Wireless Capsule Endoscopy (WCE) is progressively emerging as one of the most popular non-invasive imaging tools for gastrointestinal (GI) tract inspection. As a critical component of capsule endoscopic examination, physicians need to know the precise position of the endoscopic capsule in order to identify the position of intestinal disease. For the WCE, the position of the capsule is defined as the...
One serious challenge of wireless multi-hop ad hoc networks is frequent link and node failures due to lossy wireless channels and low-cost hardware. Failure detection plays an important role in network maintenance. In order to reduce communication overhead, local-based failure detection methods conduct diagnosis processes in a local area. However, the overhead of them is still very large because several...
This paper discusses the design and development of low-cost and longer battery life wireless pulse oximetry system. The design combined a low-power analog sensor circuit with a software DSP system and a low-power wireless transceiver. The FFT algorithm was used to process the filtered signals for accurate calculations of %SpO2 and beats per minute(bpm). The prototype device connected to a Windows...
Real-time location systems (RTLS) for persons and objects are gaining high interest for consumer and industrial applications. Information about position allows the creation of intelligent context, which enables a great variety of value-added or even new services. There is no one localization technology that fits all application scenarios. But the unique aspects of ultra-wide band (UWB) make it a very...
Activity recognition has been a research field of high interest over the last years, and it finds application in the medical domain, as well as personal healthcare monitoring during daily home- and sports-activities. With the aim of producing minimum discomfort while performing supervision of subjects, miniaturized networks of low-power wireless nodes are typically deployed on the body to gather and...
This paper proposes a novel joint time of arrival (TOA)/received signal strength indicator (RSSI)-based wireless capsule endoscope (WCE) location tracking method without prior knowledge of biological human tissues. Generally, TOA-based localization can achieve much higher localization accuracy than other radio frequency-based localization techniques, whereas wireless signals transmitted from a WCE...
Wireless electrocardiography (ECG) systems are crucial in detecting and diagnosing heart disorders. Minimizing power consumption and sampling-rate should be the key aspects when designing wireless ECG systems. In order to achieve portability coupled with ultra-low power consumption and sampling-rate, clustering and classification algorithms play an important role in developing wireless ECG systems...
We consider for the first time available bandwidth estimation (ABE) in the context of 802.11n, which is fast replacing the legacy 802.11a/b/g networks. We experimentally show that the frame aggregation (FA) feature of 802.11n is the dominant one among 802.11n features affecting the ABE. Using an indoor 802.11n wireless testbed, we compare three ABE tools (WBest, DietTopp and pathChirp) in various...
Recently, compressive sensing (CS) algorithms have been adopted to improve the accuracy of channel estimation for wide-band wireless communication systems. Since the wireless channel is usually time and frequency doubly selective fading, the performance of CS based channel estimation is limited by the estimation accuracy of the channel's sparsity level. In this paper, an adaptive subspace pursuit...
This paper presents a wireless webcam based smart visual surveillance system with real-time moving object detection, classification and tracking capabilities for car burglar detection. This image processing based car detection system can handle object detection, classification and tracking in both indoor and outdoor environments. The classification algorithm makes use of the temporal tracking results...
We develop a light utility-oriented placement of actuator nodes (LUOPAN) for wireless sensor/actuator networks (WSAN) to spread serving duties among actuator nodes (ANs). Through appropriate placement of ANs and allocation of serving duties, system deployment cost can be reduced, and the system longevity can be improved. By considering utility consumption and geographic distribution of required services,...
Wireless patient monitoring systems are becoming increasing acceptable in today's healthcare market, because of their low cost and easy adoption/integration features. However, there is little research on assessing the clinical acceptability, accuracy and reliability of such systems. This paper aims to address some of the current issues and challenges facing wireless monitoring systems by adopting...
This paper constructs a redundant dictionary using neural spike signals and uses a compressed sensing method to compress and reconstruct neural signals, which are cut into several segments of same length. By analyzing neural signals with different signal to noise ratios (SNRs), different types of spikes and different spike widths, we verify the performance of the method. Results show that, when the...
Wireless positioning systems rely on a minimum number of transmitters with known locations as reference nodes to locate a target device. However, in harsh environments where the number of available reference nodes is inadequate, wireless positioning systems may suffer from significant performance degradation. In this paper, we propose a wireless positioning technique utilizing transmitting nodes from...
A distributed antenna system (DAS) architecture is believed to be able to enhance capacity performance of Cloud Radio Access Networks (C-RAN), especially for users near the cell boundary who experience low Signal-Noise-Ratio (SNR). However, the problem of finding the analytical bounds on the capacity of DAS with the rising number of antennas in low SNR rigime has not been fully studied. In this paper,...
Localization of wireless node is a key feature in many applications. Traditional localization has exploited the signal runtime between “agent” nodes that are to be localized and a set of “anchor” nodes with known position. Recently, cooperative localization that also uses runtime measurement between agent nodes has been shown to provide superior performance. This paper analyzes the optimum power and...
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