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In this work, two access point (AP) selection mechanisms called STOOP and MD-STOOP are presented for enterprise wireless local area networks (WLANs). STOOP utilizes first- order stochastic dominance (FSD) tools to develop a runtime algorithm that probes the network to compare the quality of service from multiple APs in a stochastic manner. MD-STOOP utilizes the concept of mean dominance (MD) to select...
The daily and seasonal cycles of spectral and intensity content in the sunlight that reaches the earth's surface constitutes a natural pacemaker for activity in the terrestrial biosphere. In humans and most mammals, the evolutionary consequence of this rhythmicity is the existence of a circadian rhythm, which regulates various vital activities such as the production of hormones, mating and feeding...
In this paper, a cost efficient fusion scheme, Ubiquitous Tracking with Motion and Location Sensor (UTMLS), is proposed for the accurate localization and tracking in mixed GPS-friendly, GPS-challenging, and GPS-denied scenario. The proposed drift-reduction method in UTMLS addresses the cumulating error issue in the indoor tracking with the consumer grade motion sensor. The proposed hypothesis test...
IEEE 802.11p based Dedicated Short Range Communication (DSRC) has been considered as a promising wireless technology for enhancing road safety and efficiency. However, there is lack of deep understanding about how IEEE 802.11p performs for vehicle-to- vehicle (V2V) communications in urban environments. In this demo paper, we first introduce the statistical analysis results on V2V communication performance,...
Prediction is a challenging topic and regression is one of the methods developed for this problem. Various regression algorithms produce different prediction results for different datasets. Various performance criteria are used to measure the regression algorithms performance. The Multiple Criteria Decision Making (MCDM) method can be used to synthesize measurements of the performance criteria for...
The number of small wireless devices is rapidly increasing, making the radio channel efficiency in limited geographic areas (individual rooms or buildings) an important metric for MAC protocols. Many of these emerging devices have use-cases that are difficult to satisfy with current hardware solutions and channel access methods; for instance device mobility, small energy reserves, and requirements...
Wireless Sensor Networks (WSNs) will represent a crucial enabling technology to interconnect sensors and actuators in future smart cities. Since many applications will demand for reliable and low-latency communication, current standardization efforts are focusing in the definition of novel wireless standard architectures, e.g., the 6TiSCH architecture, to improve reliability and introduce support...
The rapid development of social networks has woven themselves into people's daily life and become indispensable platforms with superior commercial and scientific values. Both companies and governments have discovered the potential effectiveness of employing social network users for information diffusion. Rather than only selecting a group of users who are interested in target topic, it is more beneficial...
With a growing number of infrastructure cloud services becoming available there are many benefits to interconnecting several cloud services. However, seamless cloud interoperability is the complex issue, especially when different cloud platforms are interconnected. One of the major aspects of federating clouds resources is network federation. Federated networks must deal not only with heterogeneous...
In commercial banks, data centers often integrates different data sources, which represent complex and independent business systems. Due to the inherent data variability and measurement or execution errors, there may exist some abnormal customer records (data). Existing automatic abnormal customer detection methods are outlier detection which focuses on the differences between customers, and it ignores...
Radio-Frequency Identification (RFID) systems are becoming increasingly used within smart environments. In this paper, we propose BitID, a passive Ultra-High Frequency (UHF) RFID based sensing technique that can easily be made using off-the-shelf tags. BitID can be added to everyday objects to enable sensing and control capabilities. With a simple shorting mechanism, BitID is able to differentiate...
Nowadays, visual object recognition is one of the key applications for computer vision and deep learning techniques. With the recent development in mobile computing technology, many deep learning framework software support Personal Digital Assistant systems, i.e., smart phones or tablets, allowing developers to conceive innovative applications. In this work, we intend to employ such ICT strategies...
A smart computing system is usually composed of smart mobile nodes, such as mobile phones and/or sensor nodes. In this paper, we study the consensus problem in a smart computing system, which has many applications in smart computing, such as smart grid. Due to mobility and failures, smart computing nodes may join and leave a system from time to time. Such dynamicity in node set of a smart computing...
Radio Frequency IDentification (RFID) plays a vital role in smart computing applications. Due to the limited communication range of individual RFID readers, large RFID systems deployed in real applications usually contain multiple readers. Existing reader scheduling algorithms either disallow adjacent readers to simultaneously work in order to avoid collisions among them, or simply activate all the...
An outsourcing system for calculating the statistics of genome data has been proposed as a method for utilizing genomic data in bioinformatics research. Individual genome data need to be encrypted from the viewpoint of privacy protection. In previous research, a client/server system was proposed for the string search of genome sequences using fully homomorphic encryption. The authors also improved...
Since the advent of the IoT era, various IoT devices have proliferated, transforming ordinary spaces into smart spaces such as smart home, smart office, and smart building. To provide user-friendly service to people, the majority of previous studies have focused on activity recognition and prediction in singleuser environments such as ambient assisted living (AAL) and activities of daily living (ADL)...
Broadcasting data to multiple users is widely used in wireless applications. We consider a group of mobile users, within proximity of each other, who are interested in the same video content. Network coded broadcast and cooperative coded communication can improve transmission efficiency and throughput over wireless network separately. In this paper we consider the D2D-assisted wireless network coded...
In our daily life, some sensitive cargos (e.g., refrigerators) are required to keep one right side up. If these items are turned upside down due to incorrect transportation or wrong storage, some unpredictable exception will happen, leading to potential economic loss. In this paper, we propose a lightweight system TagUP that uses RFID to detect the upside-down exception. By dynamically changing the...
The on-time arrival performance of vehicles at stops is a critical metric for both riders and city planners to evaluate the reliability of a transit system. However, it is a non-trivial task for transit agencies to adjust the existing bus schedule to optimize the on-time performance for the future. For example, severe weather conditions and special events in the city could slow down traffic and cause...
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