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The rapid growth of data transmission over digital networks, especially of delay sensitive traffic, has meant that research into improved network control and management has increased. Network domain boundaries are key points in the network where service provisioning, flow control, and management occur between organizations. This paper presents a flexible automated approach that utilizes Software Defined...
In the age of Internet of Things (IoT), sensors form a foundational component of IoT services, yet they are rigid with little capability for programmable configuration or reusability as they are application-specific, manufacturer-specific. Emerging IoT applications often deploy a vast number of sensors which may serve multiple applications. Programmability is thus essential but not found in legacy...
Low latency is critical for delay-sensitive applications such as video surveillance, live streaming, and online data analytics. Fog computing enables the emergence of the latency-sensitive internet of things (IoT) network to support real-time applications. While the distance between sensing and processing is minimized in the fog network, the cross-fog latency is yet to be determined. In this paper,...
The traditional world has transformed into a digital society where almost anything can be accessed from anywhere. However, this digital society is responsible for an explosive growth of high-volume, high-velocity and high-variety information assets, with high demand for “Big Data”. A Software Defined Connectivity (SDC) is an emerging paradigm, which promises to simplify network management, to provide...
Software Defined Networking (SDN) provides a simpler and more efficient approach to manage computer networks. This is achieved by decoupling the control functionality from the forwarding elements, and placing it into a logically centralised controller. This centralised architecture makes SDN susceptible to a range of Denial of Service (DoS) attacks. In this paper we investigate a range of DoS attacks...
Measurement of visual quality is of significant importance to many image processing tasks. The target of image quality assessment (IQA) is to design effective computational models in order to automatically predict the quality of images in a perceptual consistent manner. We propose a full reference (FR) IQA metric based on information-theoretic IQA framework and passive aggressive learning algorithm...
An autonomous Internet of Things (IoT) wireless sensor network (WSN) powered by a solar energy harvester with low power electronics is presented in this paper. The power supply is a critical challenge for IoT sensors as many of them normally have limited lifetime due to the battery with limited capacity used. The WSN system, sensor node electronics, and the energy harvesting techniques are all configured...
The current privacy protection methods adopted by social network providers rely on restricting users' access rights. They force a user to rigidly divide other users into two categories only: friends and strangers. Based on this classification, they prevent non-friends from accessing to the user's data while provide full access for friends regardless of how close they are to her. However, the level...
Smart city is gaining a significant attention all around the world. Narrowband technologies would have strong impact on achieving the smart city promises to its citizens with its powerful and efficient spectrum. The expected diversity of applications, different data structures and high volume of connecting devices for smart cities increase the persistent need to apply narrowband technologies. However,...
As the population of vehicles worldwide continues to increase, more and more parking space is required. And efficient parking management is becoming an important issue. A lot of researches have been done to detect parking lot status, but they usually have limitations including extra sensor devices and hence high cost. In addition, most system is for indoor parking lot because of the management issue...
In a wireless body area networks (WBAN) with integrated sensor hubs, the proposed MAC protocol is a TDMA-based schedule used in active superframe interleaving and beacon shifting defined by the IEEE 802.15.6 standard. It considers the human dynamics and traffic information to meet the different QoS requirements of each sensor, improve bandwidth utilization and reduces packet collisions within networks...
As the data traffic demand increases continuously, LTE Heterogeneous Networks (HetNets) with macro-cells and small-cells seems to be the best solution to enhance the quality of user experience by increasing the coverage and capacity of cellular networks. One of the important challenges in such networks is the user association problem. Several approaches have been proposed for this purpose: based for...
Estimating energy consumption and data rate in LTE networks is a critical issue for some recently proposed applications such as collaborative Internet access and energy-aware cellular data scheduling. In this study, after collecting data via empirical measurements, we provide realistic modeling with respect to LTE signal parameters such as RSRP, RSRQ and SINR. We applied various regression methods...
The dynamic topology of a Mobile Ad Hoc Network (MANET) can introduce operational performance constraints. Cells in the human body use pain to indicate a sense of stress or discomfort. This paper conceptualizes pain in a MANET. As MANET is a collection of mobile nodes that may be acting as a source, destination or relay there is an inherent instantaneous variability in the MANET, and this affects...
Datasets containing private and sensitive information are useful for data analytics. Data owners cautiously release such sensitive data using privacy-preserving publishing techniques. Personal re-identification possibility is much larger than ever before. For instance, social media has dramatically increased the exposure to privacy violation. One well-known technique of k-anonymity proposes a protection...
In this paper, the OCcASION framework for Traffic Matrix (TM) estimation in Software Defined Networks (SDN) is proposed where, first in the learning phase, the Optimal Observation Matrix (OOM) of SNMP link-loads is estimated. Then in the measurement and inference phase, the OOM is used to coherently find the minimum-norm estimate of the unknown TM. This framework is applied under both non-adaptive...
The New Zealand Government has set the goals of having 99% of Kiwis able to access broadband with peak speeds of at least 50 Megabits per second (Mbps) by 2025, and with the remaining 1% able to access broadband with rates of at least 10 Mbps. There is an interesting question to be raised: is it possible to achieve these goals earlier? Inspired by the United Nations' Sustainable Development Goals...
Fingerprinting Localization Solutions (FPSs) enjoy huge popularity due to their good performance and minimal environment information requirement. Considered as a data-driven approach, many modern data analytics can be used to improve its performance. In this paper, we propose tow learning algorithms, namely a deep learning architecture for regression and Support Vector Machine (SVM) for classification,...
Broadcasting (one-to-all communication) is one of most important and fundamental research problems for information dissemination in all types of networks. In this paper, we mainly focus on the minimum-latency broadcasting in known topology Wireless Mesh Networks (WMNs), in which the network topology and the size is known in advance. It is well known that the computation of a minimum-latency broadcasting...
Wireless charging is now a reality. Low-power devices with sensing capabilities deployed within a building for example can now be powered wirelessly via Radio Frequency (RF) transmissions from existing Access Points (APs) that form a Wireless Local Area Network (WLAN). However, an AP cannot transmit frequently to charge devices as it may starve other nearby APs operating on the same channel. Consequently,...
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