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Monitoring the vast expanse of oceans presents a daunting challenge: how to take sufficient high-quality measurements with a relatively small group of specialized scientists and limited resources. Despite advances in remote sensing and autonomous technology, the oceans remain under-explored and under-sampled. One solution for addressing this challenge is to rely on citizen scientists, people outside...
The Internet of Things is one of the trending technologies wherein connecting any device to the Internet and control power to any appliance and in addition possess capability of connecting those appliances to each other in creating a network. In this work, a WiFi enabled micro-controller is interfaced with few sensors like ADXL335, a 3-axis accelerometer for sensing tilt of the object, motion, vibration...
Respiration rate plays an important role in human health monitoring. Traditional respiration rate monitoring techniques usually require users to wear some special equipment, which is not convenient for the elderly and the baby. Recently, Wi-Fi based respiration detection technique has attracted much attention due to its device-free and low-deployment-cost. However, most existing studies focus on respiration...
In this paper, we consider how to achieve optimum throughput when LTE with listen before talk (LBT) shares the unlicensed spectrum with WiFi. Basically, we aim to address two problems: 1) How can WiFi access point (AP) and WiFi station (STN) configure the access parameters to maximize the throughput of their own networks when they have knowledge of the access parameter of LTE? 2) How to jointly tune...
Abnormal activity sensing has attracted increasing research attention in military surveillance, patient monitoring, and health care of children and elderly, etc. Researchers have exploited the characteristics of wireless signals to sense “keystrokes” and “human talks”, relieving the privacy invasion concern caused by mounting the surveillance cameras or wearing the smart devices. However, existing...
Recognizing the location of an individual in a home environment is crucial in order to enable various context-aware home applications such as elderly health monitoring and in home appliance automation. However, due to the limited number of dedicated Wi-Fi access points (APs), it is challenging to guarantee the reliable localization performance in a home environment by using the traditional Wi-Fi fingerprinting...
Waiting for service is a problem faced by people from different countries and cultures. The problem of waiting in a queue can bring losses of quality of life and even economic problems. In this paper, we propose a mechanism for automatic detection of wait events via smartphones. This detection is done cooperatively by observing data collected from the user's smartphone's wifi and accelerometer sensors,...
Extending LTE to unlicensed bands (LTE-U) is gaining increasing interest recently. However, its success faces great challenges due to the inherent lack of compatibility between LTE and Wi-Fi. In this paper, we address the problem of harmonious coexistence and efficient spectrum sharing for LTE-U and Wi-Fi. We develop an analysis framework for the Carrier Sensing Adaptive Transmission (CSAT) mechanism,...
In the mobile internet era, location-based services have been widely used in mobile applications for delivering novel services to end-users. As battery technologies have long been the bottleneck holding back the development of mobile applications, a large body of research has focused on saving energy. This paper proposes an adaptive middleware architecture for mobile applications using location-based...
This paper presents the ongoing work of applying the project-based learning approach to teaching IoT technologies in an advanced embedded networking course, which is offered to electrical and computer engineering students. The emphasis of this course is on teaching the prominent wireless networking technologies IEEE 802.11 (WiFi) for the IoT and the development of the IoT applications. Microcontrollers...
A cost expenditure of software defined radio software has limiting the development of cognitive radio in third countries. Moreover, a complexity of signal processing library in a SDR platform has contributed to the hard implementation in real applications. In this works, the development of SDR platform with low cost expenditure is proposed. Arduino UNO and X Bee uses for the OFDM based spectrum exchange...
An extremely low-profile circular patch-ring antenna with omnidirectional radiation patterns is proposed in this paper. By simply introducing a shorting via, the impedance matching of the antenna is improved, where both TM31 mode and TM32 mode are excited efficiently to realize a dual resonance behavior. The designed antenna covers the Wi-Fi band of 2.4–2.48 GHz with the realized gain of over 1.5...
The general structure and main principles of creating a multi-version post-severe NPP accident monitoring system, which consists of one wired and three drone-based wireless network subsystems, are proposed. Reliability block diagrams for the system are built. On the basis of the reliability block diagrams, reliability models of the system are developed. The dependence on probability of failure-free...
We present real time indoor localization in the multi-story building using 3D particle filter. Filtration takes place in three dimensional space. Presented method incorporates information from inertial sensors, Wi-Fi signal strength, barometric and building data. We also describe additional methods for determining final locations. Algorithm was tested in multi-story office building and results show...
Wireless technologies and the growth of popularity of portable devices such as smartphones and tablets have created a variety of opportunities in the modern world. Wireless communications are changing the world because wireless devices are convenient, easy to use and can provide interconnectivity in virtually any place. Each day's people were obese with simplicity of their activities. So, we created...
A smart-phone based hand-held indoor positioning system is presented in this paper. The system collects data using the accelerometers, gyroscopes, barometers and gravity sensors embedded in the smart-phone. The accelerometer and gravity data are used for zero-velocity detection and calculating the vertical displacement of each walking step, and then the inverted pendulum model is applied to calculate...
The major challenges for optical based tracking are the lighting condition, the similarity of the scene, and the position of the camera. This paper demonstrates that under such conditions, the positioning accuracy of Google's Tango platform may deteriorate from fine-grained centimetre level to metre level. The paper proposes a particle filter based approach to fuse the WiFi signal and the magnetic...
The technology for detection of indoor location information has been attracting much attention in the recent past, since such information can be utilized for navigation and marketing research. The commonly used indoor location detection methods are Wi-Fi positioning, Bluetooth Low Energy (BLE) beacons and Pedestrian Dead-reckoning (PDR). PDR can provide location information relative to the original...
In this paper, an indoor positioning system of pedestrian dead reckoning (PDR), with WiFi fingerprint and map-matching techniques, is proposed on a smartphone. Based on five different holding styles, which are classified by using decision tree method, the proposed system supports the user in a more freedom of holding style while walking but still be able to track the location of the user accurately...
Mobile Cloud Computing or Fog computing refer to offloading computationally intensive algorithms from a mobile device to a cloud or a intermediate cloud in order to save resources (time and energy) in the mobile device. In this paper, we look at alternative solution when the cloud or fog is not available. We modelled sensors using network of queues and use linear programming to make scheduling decisions...
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