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A group of wireless devices with the ability to sense physical events (sensors) or/and to perform relatively complicated actions (actors), is referred to as Wireless Sensor and Actor Network (WSAN). In this work, we propose and implement two Fuzzy Based Actor Selection Systems (FBASS): FBASS1 and FBASS2 for actor selection in WSANs. The systems decide whether the actor will be selected for the required...
In this work, an end-to-end indoor routing and guiding solution, ‘InLocW’ (InLoc - Wearable) is discussed. The initial location fix of the user is obtained using an infrastructure of BLE beacons. Primary focus is on continuous calculation of instantaneous walking direction (a primary arrow displayed on the smartwatch) based on user's current location estimated by a particle filter which runs in the...
Pervasive computing is increasing its impact in several areas related to health-care and well-being. Data collected from sensors in smart-homes are being processed to continuously recognize activities, change of habits, and critical events leading to innovative applications in monitoring patients with chronic diseases, elderly at risk of cognitive decline, and enable new opportunities for active aging...
Biological information can easily be monitored by installing sensors in a lavatory bowl. Lavatories are usually shared by several people, so users need to be identified. Because of the need for privacy, using cameras, microphones, or scales is not appropriate. Though personal identification can be done using a touch panel, the user may forget to use it because the action is not necessary. In this...
In this paper, we present an approach for person identification using morphing footsteps measured from a fabric-based pressure mapping sensor system. The flexible fabric sensor is 0.5 mm thin and operates under a 5 mm thick normal carpet; therefore, it can be easily implemented into modern smart living spaces. We extract features concerning single steps with the shifting of gravity center, maximum...
Energy balance is one component of weight management, but passive objective measures of caloric intake are non-existent. Given the recent success of actigraphy as a passive objective measure of the physical activity construct that relieves participants of the burden of biased self-report, computer scientists and engineers are aiming to find a passive objective measure of caloric intake. Passive sensing...
This paper presents a method of using wearable accelerometers and microphones to detect instances of ad-hoc physical collaborations between members of a group. 4 people are instructed to construct a large video wall and must cooperate to complete the task. The task is loosely structured with minimal outside assistance to better reflect the ad-hoc nature of many real world construction scenarios. Audio...
Wireless Sensor Network (WSN) having a small sensor suffers from limited computational and communication power. These sensors are deployed randomly and sparsely in the network. One of the major problems occurring in such environment at the time of deployment is the formation of holes in the network. The hole is a communication gap, which affects the general performance of the network. An improved...
Due to larger integration, technology scaling and lower power technologies, chances of the radiations hitting the design increases. In terms of sequential circuits especially memory array, it is hard to detect the SET (Single Event Transient) propagation due to ionizing radiation. This paper proposes a method to detect the transient currents produced due to SET propagation which improves the reliability...
Internet of things (IoT) integrate the technologies such as sensing, communication, networking and cloud computing in wide range monitoring zone. For applications of IoT, the most appropriate monitoring network is wireless sensor networks (WSN). It is most important to develop energy efficient cluster head (CH) selection scheme to increase the network lifetime of WSNs. It is most crucial to save the...
A time-driven pole placement based Memory Less State Feedback Controller (MSFC) has been designed using the Linear Matrix Inequality (LMI) to control a plant over an network under variable latency (jitter) and data-loss. This Networked Control System (NCS) has been formulated as an Asynchronous Dynamic System (ADS) with rate constraints. The pole placement based controller has been derived to place...
Mobile Crowdsensing is a promising paradigm for ubiquitous sensing, which explores the tremendous data collected by mobile smart devices with prominent spatial-temporal coverage. As a fundamental property of Mobile Crowdsensing Systems, temporally recruited mobile users can provide agile, fine-grained, and economical sensing labors, however their self-interest cannot guarantee the quality of the sensing...
The Sensorian Hub is a software platform designed and developed for using the Raspberry Pi Single Board Computer (SBC) as a sensor node, whether independently or in a larger network of sensors. The intention of the platform is to provide an easy to use and highly customizable system for collecting and processing sensor data in a variety of environments and applications. In this paper, the design and...
A business model for the provision of wireless sensor network (WSN)-based services is proposed, where there exist three roles in the market: the WSNs, which provide sensing data; the service providers, which gather the data and compose useful services for the users; and end users. We assess an affine pricing scheme for the acquisition of the WSNs data and analyze the model in a duopoly scenario by...
With recent widespread usage of state-of-the-art technology (e.g., various mobile devices), environmental sensing is getting popular. The sensors used for sensing are small and due to the mobility they become more error-prone, which results in data corruption or loss from sensor. Therefore, cleaning of the sensed data is of high importance to recover the lost or corrupted data. In this paper, we propose...
This paper demonstrates a new cooperative bus location system with BLE (Bluetooth Low Energy) devices and smartphones. Our idea has extended common participatory sensing systems to realize more practical sensing systems because common participatory sensing mechanisms require a participants' operation to measure some values. Our proposed system consists of a BLE devices on a bus, smartphone applications...
Many physical devices and sensors make it possible to obtain more localized data and applications which provide more localized information for users will appear. Generally, those applications use a storage server for computing location-dependent data. Traffic of Internet of Things (IoT) devices may cause concentration, when data is stored into a server. It is desirable that each location-dependent...
In this paper, an asymptotic analysis of the inversely proportional setting (IPS) of carrier sense threshold (CST) and transmission power in densely deployed wireless local area networks (WLANs) is presented. In densely deployed WLANs, CST adjustment is a crucial technology to enhance spatial channel reuse, but it can starve surrounding transmitters due to an asymmetric carrier sensing relationship...
As Convolutional Neural Networks continue to produce state of the art results, more types of data are being used to see the results that would be produced. Using the heart rate data that was collected using sensors from various subjects who consumed alcohol, we converted it from the 1D waveform into a set of spectrograms. The spectrograms were fed into two pretrained CNNs, CaffeNet and AlexNet, to...
Sensor network virtualization enables the possibility of sharing common physical resources to multiple stakeholder applications. This paper focuses on addressing the dynamic adaptation of already assigned virtual sensor network resources to respond to time varying application demands. We propose an optimization framework that dynamically allocate applications into sensor nodes while accounting for...
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