Rehmat Ullah

Rehmat Ullah
University of St Andrews · School of Computer Science

Doctor of Philosophy
http://rehmatkhan.com/

About

56
Publications
13,693
Reads
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512
Citations
Additional affiliations
February 2022 - present
University of St Andrews
Position
  • Research Fellow
November 2020 - January 2022
Queen's University Belfast
Position
  • Research Associate
April 2020 - September 2020
Gachon University
Position
  • Professor (Assistant)
Education
March 2016 - February 2020
Hongik University
Field of study
  • Electronics and Computer Engineering

Publications

Publications (56)
Preprint
Full-text available
Federated learning (FL) trains machine learning (ML) models on devices using locally generated data and exchanges models without transferring raw data to a distant server. This exchange incurs a communication overhead and impacts the performance of FL training. There is limited understanding of how communication protocols specifically contribute to...
Article
Full-text available
Federated learning (FL) is a privacy-preserving distributed machine learning technique that trains models while keeping all the original data generated on devices locally. Since devices may be resource constrained, offloading can be used to improve FL performance by transferring computational workload from devices to edge servers. However, due to m...
Article
Full-text available
Applying Federated Learning (FL) on Internet-of-Things devices is necessitated by the large volumes of data they produce and growing concerns of data privacy. However, there are three challenges that need to be addressed to make FL efficient: (i) execution on devices with limited computational capabilities, (ii) accounting for stragglers due to com...
Article
Full-text available
To address the energy-efficiency issue in Information-Centric Networking (ICN), this article proposes a novel Green ICN design, which adapts the power consumption of network nodes to the optimized utilization level proportionally. By learning over the consumers interactive data traffic pattern/behavior, we introduce a new concept of cross-layer pow...
Preprint
Full-text available
Federated learning (FL) is a privacy-preserving distributed machine learning technique that trains models without having direct access to the original data generated on devices. Since devices may be resource constrained, offloading can be used to improve FL performance by transferring computational workload from devices to edge servers. However, du...
Article
Full-text available
Information Centric Networking (ICN) is a promising paradigm shift that aims to tackle the traditional Internet architectural problems and to fulfill the future Internet requirements. The traditional Internet architecture is a host-oriented architecture (i.e., TCP/IP approach) due to which the Internet of Things (IoT) have been facing issues relate...
Article
In Wireless Multimedia Sensor Networks (WMSNs), nodes capable of retrieving video, audio, images, and small scale sensor data, tend to generate immense traffic of various types. The energy-efficient transmission of such a vast amount of heterogeneous multimedia content while simultaneously ensuring the quality of service and optimal energy consumpt...
Preprint
Full-text available
Applying Federated Learning (FL) on Internet-of-Things devices is necessitated by the large volumes of data they produce and growing concerns of data privacy. However, there are three challenges that need to be addressed to make FL efficient: (i) execute on devices with limited computational capabilities, (ii) account for stragglers due to computat...
Article
Full-text available
Fifth-generation (5G) networks will not satisfy the requirements of the latency, bandwidth, and traffic density in 2030 and beyond, and next-generation wireless communication networks with revolutionary enabling technologies will be required. Beyond 5G (B5G)/sixth-generation (6G) networks will achieve superior performance by providing advanced func...
Preprint
Full-text available
Information-Centric Networking (ICN) has emerged as a paradigm to cope with the lack of built-in security primitives and efficient mechanisms for content distribution of today's Internet. However, deploying ICN in a wireless environment poses a different set of challenges compared to a wired environment, especially when it comes to security. In thi...
Article
Full-text available
In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices in IoT networks can be problematic due to their resource-constrained nature, and integrating security on these devices is often overlooked. This has resulted in attackers havin...
Preprint
Full-text available
In recent years, there has been a massive increase in the amount of Internet of Things (IoT) devices as well as the data generated by such devices. The participating devices in IoT networks can be problematic due to their resource-constrained nature, and integrating security on these devices is often overlooked. This has resulted in attackers havin...
Preprint
Full-text available
The promising vision of Information-Centric Networking (ICN) and of its realization, Named Data Networking (NDN), has attracted extensive attention in recent years in the context of the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). However, a comprehensive NDN/ICN-based architectural design for WSNs, including specially tailored nam...
Article
Full-text available
Improved Spectral Efficiency (SE) is a prominent feature of Massive Multiple-Input and Multiple-Output systems. These systems are prepared with antenna clusters at receiver (R x) and transmitter (T x). In this paper, we examined a massive MIMO system to increase SE in each cell that ultimately improves the area throughput of the system. We are aimi...
Conference Paper
Full-text available
Nodes in wireless sensor networks (WSNs) are resource-constrained in terms of energy, storage, and computational capability. Energy is one of the major constraints which requires an efficient mechanism that takes into account the energy consumption of nodes to prolong the network lifetime. Clustering is the most popular approach to minimize the ene...
Conference Paper
Nodes in wireless sensor networks (WSNs) are resource-constrained in terms of energy, storage, and computational capability. Energy is one of the major constraints which requires an efficient mechanism that takes into account the energy consumption of nodes to prolong the network lifetime. Clustering is the most popular approach to minimize the ene...
Article
Full-text available
Nowadays, online applications are moving to the cloud, and for delay-sensitive ones, the cloud is being extended with edge/fog domains. Emerging cloud platforms that tightly integrate compute and network resources enable novel services, such as versatile IoT (Internet of Things), augmented reality or Tactile Internet applications. Virtual infrastru...
Article
The participating nodes in Wireless Sensor Networks (WSNs) are usually resource-constrained in terms of energy consumption, storage capacity, computational capability, and communication range. Energy is one of the major constraints which requires an efficient mechanism that takes into account the energy consumption of nodes to prolong the network l...
Article
Full-text available
The participating nodes in Wireless Sensor Networks (WSNs) are usually resource-constrained in terms of energy consumption, storage capacity, computational capability, and communication range. Energy is one of the major constraints which requires an efficient mechanism that takes into account the energy consumption of nodes to prolong the network l...
Article
In recent years, edge computing and Information Centric Networking (ICN) have been introduced as emerging technologies for distributing content closer to the end users. The former promises to increase the performance of several applications by using data locality and relieve the core network by addressing the increasing bandwidth demands caused by...
Article
Full-text available
Data communication in the present Internet paradigm is dependent on fixed locations that disseminate similar data several times. As a result, the number of problems has been generated in which location dependency is the most crucial for communication. Therefore, Named Data Networking (NDN) is a new network architecture that revolutionized the handl...
Conference Paper
Nodes in wireless sensor networks (WSNs) are resource-constrained in terms of energy, storage, and computational capability. Energy is one of the major constraints which requires an efficient mechanism that takes into account the energy consumption of nodes to prolong the network lifetime. Clustering is the most popular approach to minimize the ene...
Article
Full-text available
Named data networking (NDN) is a novel communication paradigm that employs names rather than references to the location of the content. It exploits in-network caching among different nodes in a network to provide the fast delivery of content. Thus, it reduces the backhaul traffic on the original producer and also eliminates the need for a stable co...
Poster
Full-text available
This poster proposes a lite variant of Named Data Networking (NDN) architecture specially designed for single-channel cluster-based information-centric wireless sensor networks. The proposed framework incorporates the fundamental requirement of short but human-readable names for cluster-based wireless sensor networks (WSNs) that can fit into 127 by...
Article
Full-text available
By design, Named Data Networking (NDN) supports pull-based traffic, where content is retrieved only upon consumer request. However, some of the use cases (i.e., emergency situations) in the Internet of Things (IoT) requires push-based traffic, where a producer broadcasts the data based on the emergency situation without any consumer request. Theref...
Article
Full-text available
Information-Centric Networking (ICN) is a paradigm shift from host-to-host Internet Protocol (IP)-based communication to content-based communication. In ICN, the content-retrieval process employs names that are given through different naming schemes such as hierarchical, flat, attribute, and hybrid. Among different ICN architectures, Named-Data Net...
Article
Full-text available
Named Data Networking (NDN) and Edge Cloud Computing (ECC) are emerging technologies that are considered as the most representative technologies for the future Internet. Both technologies are promising enabler for future Internet such as fifth generation (5G) and beyond which requires fast information response time. We believe that clear benefits c...
Poster
Full-text available
Future Augmented Reality (AR) applications require fast information response time and significant computational power and memory for many of its tasks. To enable future AR applications, in this poster, we combine Named Data Networking (NDN) and Edge Computing (EC) in order to achieve fast information response time. The outcomes are implemented and...
Conference Paper
Information-Centric Networking (ICN) is a paradigm shift from host-to-host Internet Protocol (IP) based communication to content-based communication. In ICN the content retrieval process fundamentally employs names that are given through different naming schemes such as hierarchical, flat, attribute, and hybrid. Among different ICN architectures, N...
Article
Full-text available
Cloud computing is a paradigm that offers storage, computation and software services on demand in the Cloud and far from end users. These services and computations are then extended to the Edge of the network with the Edge computing paradigm. This paradigm offers computation, data, and application services in close proximity of end users. Future In...
Article
Reliable video delivery is one of the most important requirements to satisfy end user needs. With the proliferation of multimedia technologies there is a growing demand for video multicast, particularly in challenging wireless environments. Effective video multicast services need to meet the conflicting goals of assured data rate and reliability. T...
Conference Paper
Named Data Networking (NDN) is a newly proposed future Internet paradigm in which communication is based on content names irrespective of their locations. In NDN-based mobile ad hoc networks (MANETs), the status of nodes is extremely unstable because of attenuation of the signal, channel error, and channel fading. Such instability can cause various...
Conference Paper
Named Data Networking (NDN) is a newly proposed future Internet paradigm in which communication is based on content names irrespective of their locations. In NDN-based mobile ad hoc networks (MANETs), the status of nodes is extremely unstable because of attenuation of the signal, channel error, and channel fading. Such instability can cause various...
Article
Full-text available
Advanced metering infrastructure (AMI) is becoming a vital part of utility distribution networks, allowing the development of smart cities. AMI consists of smart electric, gas, and water meters, and the devices are very limited in terms of battery, processing power, and memory. The deployment and operational needs of energy-constrained network infr...
Conference Paper
Low-power and lossy networks (LLNs) are composed of devices, which are constrained in terms of processing power, battery and memory. An efficient routing metric is required to ensure the long lifetime of the LLNs. In this paper, we propose a multi routing metric that taking into account the node’s residual energy, and queue utilization as well as u...
Conference Paper
As the number of the elderly increases, the various IT-based home automation systems for the elderly are actively studied and implemented. However, while most systems for the elderly focus on detecting emergency cases, systems considering energy reduction in the elderly housing are rarely found. In this paper, a emergency monitoring system includin...
Conference Paper
Cooperative routing is a hybrid approach utilizing routing techniques and cooperative communication to improve the communication quality of single-antenna sensor nodes. It exploits the broadcast nature of wireless medium and transmits cooperatively using nearby sensor nodes as relays. In this research, a cooperative transmission scheme is proposed...
Conference Paper
In recent years, the use of Autonomous Underwater Vehicle (AUV) along a constrained path can improve the data delivery ratio and maximize the energy efficiency in Underwater Wireless Sensor Networks (UWSNs). However, constant speed of AUV leads to limited communication to collect data packet from nodes deployed randomly in large scalable network. M...

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