Engineering Commons^™

Energy Efficiency And Fault Tolerance In Open Ran And Future Internet, Saish Urumkar, Byrav Ramamurthy, Sachin Sharma

Conference papers

Open Radio Access Networks (Open RAN) repre- sent a promising technological advancement within the realm of the future internet. Research efforts are currently directed towards enhancing energy efficiency and fault tolerance, which are critical aspects for both Open RAN and the future internet landscape. In the context of energy saving in Open RAN, there exists a spectrum of methods for achieving energy efficiency. These methods include the toggling of on/off states for different hardware resources such as base station units, distributed units, and radio units. Conversely, for enhancing fault tolerance in Open RAN, Software-Defined Networking (SDN) and OpenFlow based techniques …

Improving Energy Efficiency In Open Ran Through Dynamic Cpu Scheduling, Saish Urumkar, Byrav Ramamurthy, Sachin Sharma

Conference papers

Open RAN is a promising cellular technology that is currently undergoing extensive research for future wireless radio access networks. Achieving optimal energy efficiency in Open RAN poses a significant challenge. This paper introduces a CPU scheduling algorithm that specifically targets this chal- lenge by optimizing energy consumption at the base station while maintaining optimal performance levels. With the goal of minimizing energy consumption, the proposed algorithm dynamically adjusts the CPU core states, seamlessly switching between active and sleep modes based on the load conditions. To evaluate the algorithm’s effectiveness in terms of energy saving and performance, experimental testing is conducted …

Round Trip Time Measurement Over Microgrid Power Network, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

A focus of the Power Systems and Networking communities is the design and deployment of Microgrid (MG) integration systems that ensure that quality of service targets are met for load sharing systems at different endpoints. This paper presents an integrated Microgrid testbed that allows Microgrids endpoints to share their current, voltage and power values using a Network Published Shared Variable (NPSV) approach. We present Round Trip Time (RTT) measurements for time sensitive Microgrid control traffic in the presence of varying background traffic as an example quality of service measurement. Numerical results are presented using a range of different background traffic …

Poster: Integrated Dc Microgrid Testbed For Quality Of Service Evaluation, Yasin Emir Kutlu, Ruairí De Fréin, Malabika Basu, Ali Malik

Conference papers

This study demonstrates a testbed for evaluating the effects of background network traffic on the Round-Trip Times (RTTs) of community-based integrated Direct Current (DC) Microgrid (MG) testbed using real hardware and different networking topologies.

The effects of difference levels of background traffic on the RTT of control packets are demonstrated.

Comparing The Iwl-Mvm-Rs And Minstrel-Ht Rate Adaptation Algorithms Under Different Local Error Conditions, Luhan Wang, Mark Davis

Conference papers

WLAN technology has grown rapidly and now provides increasingly reliable and fast wireless connectivity. A number of Rate Adaptation Algorithms (RAAs) which are designed to select the optimal line rate according to the channel conditions have been proposed. Iwl-Mvm-Rs RAA which is implemented in the Intel wireless chips and Minstrel-HT RAA which is implemented in the Linux kernels are two such well known algorithms. Many existing papers evaluate these two algorithms with regard to device mobility and signal fading. However, the causes of frame errors can be divided into two categories: weak signal reception and collisions. Therefore, in this paper, …

H2020 Auto-Dan Project: Enhance The Participation Of The Community To Demand Response By Providing The State-Of-The-Art Technological And Policy Solution, Rene Peeren, Dharmesh Dabhi, John Dalton

Conference papers

The growing demand for electricity in Europe has increased the need for a more flexible and sustainable power system. In recent years, Demand Response (DR) has emerged as a promising solution to meet this need, by providing an opportunity for residential and smaller commercial consumers to actively participate in the electricity market. This research paper investigates the potential for DR among the residential community and small commercial electricity consumers in Europe and identifies the technological barriers and drivers that impact consumer engagement with DR programs in Europe. The different DR opportunities are identified and validated at the six different demo …

Energy-Aware Ai-Driven Framework For Edge-Computing-Based Iot Applications, Muhammad Zawish, Nouman Ashraf, Rafay Iqbal Ansari, Steven Davy

Conference papers

The significant growth in the number of Internet of Things (IoT) devices has given impetus to the idea of edge computing for several applications. In addition, energy harvestable or wireless-powered wearable devices are envisioned to empower the edge intelligence in IoT applications. However, the intermittent energy supply and network connectivity of such devices in scenarios including remote areas and hard-to-reach regions such as in-body applications can limit the performance of edge computing-based IoT applications. Hence, deploying state-of-the-art convolutional neural networks (CNNs) on such energy-constrained devices is not feasible due to their computational cost. Existing model compression methods, such as network …

Quantum Classifiers For Video Quality Delivery, Tautvydas Lisas, Ruairí De Fréin

Conference papers

Classical classifiers such as the Support Vector Classifier (SVC) struggle to accurately classify video Quality of Delivery (QoD) time-series due to the challenge in constructing suitable decision boundaries using small amounts of training data. We develop a technique that takes advantage of a quantum-classical hybrid infrastructure called Quantum-Enhanced Codecs (QEC). We evaluate a (1) purely classical, (2) hybrid kernel, and (3) purely quantum classifier for video QoD congestion classification, where congestion is either low, medium or high, using QoD measurements from a real networking test-bed. Findings show that the SVC performs the classification task 4% better in the low congestion …

Optimising Electric Vehicle Charging Infrastructure In Dublin Using Geecharge, Alexander Mutua Mutiso, Ruairí De Fréin, Ali Malik, Eliel Kibanza, Marco Sahbane, Maxime Pantel

Conference papers

Range anxiety poses a hurdle to the adoption of Electric Vehicles (EVs), as drivers worry about running out of charge without timely access to a Charging Point (CP). We present novel methods for optimising the distribution of CPs, namely, EV portacharge and GEECharge. These solutions distribute CPs in Dublin, in this paper, by considering the population density and Points Of Interest (POIs) or road traffic. The object of this paper is to (1) develop and evaluate methods to distribute CPs in Dublin city; (2) optimise CP allocation; (3) visualise paths in the graph network to show the most used roads …

The Role Of Soc In Ensuring The Security Of Iot Devices: A Review Of Current Challenges And Future Directions, Hajar Bennouri, Abdiaziz Abdi, Iqbal Hossain, Alexandre Pujol

Conference papers

The growing popularity and deployment of Internet of Things (IoT) devices has led to serious security concerns. The integration of a security operations center (SOC) becomes increasingly important in this situation to ensure the security of IoT devices. In this article, we will present a summary of IoT device security issues, their vulnerabilities, a review of current challenges to keep these devices secure, and discuss the role that SOC can bring in protecting IoT devices while considering the challenges encountered and the directions to consider when implementing a reliable SOC for IoT monitoring.

Grammatical Evolution For Detecting Cyberattacks In Internet Of Things Environments, Hasanen Alyasiri, John Clark, Ali Malik, Ruairí De Fréin

Conference papers

The Internet of Things (IoT) is revolutionising nearly every aspect of modern life, playing an ever greater role in both industrial and domestic sectors. The increasing frequency of cyber-incidents is a consequence of the pervasiveness of IoT. Threats are becoming more sophisticated, with attackers using new attacks or modifying existing ones. Security teams must deal with a diverse and complex threat landscape that is constantly evolving. Traditional security solutions cannot protect such sys- tems adequately and so researchers have begun to use Machine Learning algorithms to discover effective defence systems. In this paper, we investigate how one approach from the …

Predicting Quality Of Delivery Metrics For Adaptive Video Codec Sessions, Obinna Izima, Ruairí De Fréin, Mark Davis

Conference papers

Predicting video quality will continue to be an active area of research given the dominance of video traffic for years to come. Network service practitioners that are poised to handle the strain on the existing limited bandwidth constraints are better placed to be SLA-compliant. The dynamic and time-varying nature of cloud-hosted services require improved techniques to realize accurate models of the systems. To address this challenge: (1) we propose Codec-aware Network Adaptation Agent (cNAA), an online light-weight data learning engine that achieves accurate and correct predictions of quality of delivery (QoD) metrics, namely jitter for video services. cNAA achieves this …

Remedying Sound Source Separation Via Azimuth Discrimination And Re-Synthesis, Ruairí De Fréin

Conference papers

Commercially recorded music since the 1950s has been mixed down from many input sound sources to a two-channel reproduction of these sources. The effect of this approach is to assign sources to locations in a stereo field using a pan-position for each source. The Adress algorithm is a popular way of extracting individual music sound sources from a stereo mixture. A drawback of the Adress algorithm is that when time-frequency components in the stereo mixture are shared between two or more sources, calculating the inter-aural intensity scaling parameter for each source for that time-frequency component is challenging. We show how …

Remedying Sound Source Separation Via Azimuth Discrimination And Re-Synthesis, Ruairí De Fréin

Conference papers

Commercially recorded music since the 1950s has been mixed down from many input sound sources to a two- channel reproduction of these sources. The effect of this approach is to assign sources to locations in a stereo field using a pan- position for each source. The Adress algorithm is a popular way of extracting individual music sound sources from a stereo mixture. A drawback of the Adress algorithm is that when time- frequency components in the stereo mixture are shared between two or more sources, calculating the inter-aural intensity scaling parameter for each source for that time-frequency component is challenging. …

Three-Phase Two-Leg T-Type Converter Based Active Power Filter, Samet Biricik, Hasan Komurcugil, Mohamed Trabelsi

Conference papers

In this work, a three-phase two-leg T-type active power filter topology is investigated when a three-level hysteresis band current modulation technique is applied. The three-phase two-leg T-type configuration which utilizes eight switching devices together split DC link capacitor banks is able to improve the reliability of the system as well as effectively reduces the power losses. The compensation of the current harmonics at each phase are achieved successfully with the control of phase-a and phase-b. Using this technique, the phase-c is directly connected to the midpoint of the split capacitors, which eliminates the necessity of additional control on the phase-c. …

Impact On Distribution System Protection With The Integration Of Eg On The Distribution Network, Jane Courtney, Aaron Mcdonnell

Conference papers

A significant increase in EG connections on the distribution network over the past decade in Ireland has presented challenges to the Distribution System Operator (DSO). The connection of EG can cause co-ordination of Distance protection to be altered and has resulted in variations in short circuit levels. Multidirectional power flow has been introduced into a Distribution system that was not designed for the direction change in current flow. The impact of connecting EG to a typical 38 kV Distribution Network was demonstrated as part of this study. Increasing fault levels and protection co-ordination selectivity problems were identified when the network …

Series Compensation To Increase Power Flow: A Case Study On The Irish Transmission System, Aidan Heffernan, Jane Courtney

Conference papers

Ireland presents an interesting case study for transmission network strengthening. The majority of load in the country is located at the nation's capital, Dublin, in the East, while most of the new conventional generation and renewable generation are found in the South-West. Power is transferred between the two via a 400 kV network. This leads to large cross- country power flows. This power distribution disparity is due to increase. A large thermal generating station which is connected to the 400 kV system in the West, will close by 2025. This generation will be replaced partially with wind generation in the …

Distance-Based Cluster Head Election For Mobile Sensing, Ruairí De Fréin, Liam O'Farrell

Conference papers

Energy-efficient, fair, stochastic leader-selection algorithms are designed for mobile sensing scenarios which adapt the sensing strategy depending on the mobile sensing topology. Methods for electing a cluster head are crucially important when optimizing the trade-off between the number of peer-to- peer interactions between mobiles and client-server interactions with a cloud-hosted application server. The battery-life of mobile devices is a crucial constraint facing application developers who are looking to use the convergence of mobile computing and cloud computing to perform environmental sensing. We exploit the mobile network topology, specifically the location of mobiles with respect to the gateway device, to stochastically …

Comparison Of Grid Array And Microstrip Patch Array Antennas At 28 Ghz, Zeeshan Ahmed, Patrick Mcevoy, Max Ammann

Conference papers

A millimeter wave Grid Array Antenna for fifth generation (5G) communications is presented. The 20 cell, nearly-rhombic, 40×40 mm2 Grid Array Antenna structure is simulated and fabricated on a Rogers RT/Duroid 5880 substrate with thickness of 0.25 mm. The grid array has |S11|

Study Of Mm-Wave Microstrip Patch Array On Curved Substrate, Zeeshan Ahmed, Kansheng Yang, Patrick Mcevoy, Max Ammann

Conference papers

A millimetre wave rectangular microstrip patch antenna array for fifth generation communications (5G) applications is presented. With the increase in demand for high data rates and capacity, there is a need to include mm-Wave frequencies for 5G. The 4×2 patch array is simulated and fabricated on a Rogers RT/Duroid 5880 substrate with a thickness of 0.25 mm. The effects of bending the substrate on the antenna performance are also presented. The experimental results show a fractional bandwidth and gain of more than 3% and 16.1 dBi, respectively.

The Potential For Power Quality Problem Mitigation Through Statcom, Arsalan Zaidi, Keith Sunderland, Michael Conlon

Conference papers

Consideration of spatial and temporal diversity of EV charging demand has been demonstrated to reduce the estimating impacts on the distribution networks. The data formulation is based on impact studies of Electrical vehicles (EV s) on distribution networks. It is suggested that Distribution System Operator (DSO) could benefit for new innovation/advancement in the market (BESS-STATCOM) in a way that makes networks more reliable/robust, In this regard such innovation creates more opportunities for demand side management, reduces planning uncertainties associated with stochastic nature of EV charging and makes space for demand side management. This work considers probabilistic load flow in a …

Data Driven Prediction Model (Ddpm) For Server Inlet Temperature Prediction In Raised-Floor Data Centers, Raymond Lloyd, Marek Rebow

Conference papers

Data centers account for approx. 1.4% of the world’s electricity consumption, of which up to 50% of that power is dedicated to keeping the actual equipment cool. This represents a huge opportunity to reduce data center energy consumption by tackling the cooling system operations with focus on thermal management. This work presents a novel Data Driven Predictive Model (DDPM) for temperature prediction of server inlet temperatures that utilises high resolution empirical temperature measurements from 52 real-life data centers. A knowledge-base of temperature data and related physical features, created via clustering techniques was used to train a series of artificial neural …

Iot Based Recipes For Enabling Senior Citizens: Stakeholders Views On How Integration Of Iot And Web Services Can Enhance Well-Being And Inclusion Of Older People, Matteo Zallio, Damon Berry, John Mcgrory

Conference papers

The main body of research clearly highlights the world’s population is rapidly expanding. When this fact is combined with the increase in life longevity due to medical and social advances it alters the demographic balance in relation to age. Hence, the number of people aged 65 and over is constantly increasing. The potential of Smart Technologies and IoT-based devices to improve health has increased rapidly in the last few years and users are now in a position to contribute to the development of the interaction process and need to be properly trained on benefits of using new technologies. IFTTT (If …

A Hardware One-Time Pad Prototype Generator For Localising Cloud Security, Paul Tobin, Lee Tobin, Michael Mckeever, Jonathan Blackledge

Conference papers

In this paper, we examine a system for encrypting data before storing in the Cloud. Adopting this system gives excellent security to stored data and complete control for accessing data by the client at different locations. The motivation for developing this personal encryption came about because of poor Cloud security and doubts over the safety of public encryption algorithms which might contain backdoors. However, side-channel attacks and other unwanted third-party interventions in Cloud security, probably contribute more to the poor security record history. These factors led to the development of a prototype for personalising security locally which defeats cryptanalysis. The …

Chaos-Based Cryptography For Cloud Computing, Paul Tobin, Lee Tobin, Michael Mckeever, Jonathan Blackledge

Conference papers

Cloud computing and poor security issues have quadrupled over the last six years and with the alleged presence of backdoors in common encryption ciphers, has created a need for personalising the encryption process by the client. In 2007, two Microsoft employees gave a presentation ``On the Possibility of a backdoor in the NIST SP800-90 Dual Elliptic Curve Pseudo Random Number Generators'' and was linked in 2013 by the New York Times with notes leaked by Edward Snowden. This confirmed backdoors were placed, allegedly, in a number of encryption systems by the National Security Agency, which if true creates an urgent …

On The Development Of A One-Time Pad Generator For Personalising Cloud Security, Paul Tobin, Lee Tobin, Michael Mckeever, Jonathan Blackledge

Conference papers

Cloud computing security issues are being reported in newspapers, television, and on the Internet, on a daily basis. Furthermore, in 2013, Edward Snowden alleged backdoors were placed in a number of encryption systems by the National Security Agency causing confidence in public encryption to drop even further. Our solution allows the end-user to add a layer of unbreakable security by encrypting the data locally with a random number generator prior to uploading data to the Cloud. The prototype one-time pad generator is impervious to cryptanalysis because it generates unbreakable random binary sequences from chaos sources initiated from a natural noise. …

Design Of A Community-Supported Capable Microwave System For People With Intellectual And Physical Disabilities, Matteo Zallio, Damon Berry, Paula Kelly, Hicham Rifai, Modestas Jakuska

Conference papers

Product personalisation has become a central topic and expected part of every day life. Different people have different characteristics and abilities and every single user has different needs which means that products have to be tailored accordingly. Micro- wave ovens are one of the most commonly used home appliances. People use them to quickly heat or cook certain foods. Today, according to the US Bureau of Labor Statis- tics, more than 90% of U.S. households own a microwave oven [11]. This project seeks to enable people with intellectual disabilities and physical impairments to perform sim- ple cooking tasks. The target …

Investigation Of Electrical Defects Arising From Excessive Sidewall Force And Excessive Tensile Strain On Power Cables, Darren Mcconnon, Joseph Kearney, Tom Looby, James O'Shaughnessy

Conference papers

The study includes a comprehensive review of the existing literature and guidelines regarding the effects of sidewall force and tensile strain on power cables during installation. The most appropriate diagnostic test methods required to analyse these effects are also assessed. The results of tests and analysis of the existing literature are then combined in an attempt to determine a realistic basis for guidelines and recommendations relevant to cable installation forces.

Adaptive Environments For Enabling Senior Citizens: An Holistic Assessment Tool For Housing Design And Iot-Based Technologies, Matteo Zallio, Damon Berry, Niccolò Casiddu

Conference papers

The population of older adults will continuously increase over the coming decades. As they get older, people will require assistance and regular monitoring, with higher costs for welfare system and families. Two vital aspects of a healthy lifestyle, are domestic autonomy and maintenance of relationships within the neighborhood. This leads to an interesting research issue: “Could houses and appliances have the potential to improve autonomy and quality of life of citizens? Which methods and tools could enhance wellbeing and healthy conditions? The house has the potential to be a safe, adaptive environment, integrated with technologies for life support. This work …

Optical Wavelength Ratiometric Monitoring System For Data Centre Cwdm Applications, Anthony Colohan, Thomas Freir, Derek Finlay

Conference papers

The development of the internet and the subsequent increase in the quantity of connected devices in recent years has given rise to an explosion in demand of data traffic across telecommunication networks. Converged networks deliver high speed bit rates for the purpose of streaming videos, downloading music files and communicating over the internet; voice over internet protocol (VOIP). Further additional data traffic growth stemming from the upsurge in the amount of ‘tweets’ and instant messages (IM) created as well as emails written and cloud storage, has led to a demand for the construction of much larger data centres, which …