A5007349971- IoT and Edge/Fog Computing
- IoT Networks and Protocols
- Advanced Wireless Communication Technologies
- Age of Information Optimization
- Advanced Steganography and Watermarking Techniques
- Business Process Modeling and Analysis
- Indoor and Outdoor Localization Technologies
- Advanced Wireless Communication Techniques
- PAPR reduction in OFDM
- Text and Document Classification Technologies
- Wireless Communication Networks Research
- Blockchain Technology Applications and Security
- Sentiment Analysis and Opinion Mining
- Digital Media Forensic Detection
- Privacy-Preserving Technologies in Data
- Caching and Content Delivery
- Service-Oriented Architecture and Web Services
- Cognitive Radio Networks and Spectrum Sensing
- Big Data and Business Intelligence
- Peer-to-Peer Network Technologies
- Cloud Data Security Solutions
- Advanced Text Analysis Techniques
- Web Data Mining and Analysis
- Generative Adversarial Networks and Image Synthesis
- Biometric Identification and Security
University of Technology Sydney
2019-2025
Bahawal Victoria Hospital
2024
National University of Computer and Emerging Sciences
2014-2023
Hainan University
2023
ORCID
2020
Memorial University of Newfoundland
2018
Curtin University
2008-2010
The problem of providing massive connectivity in the Internet Things (IoT) with a limited number available resources motivates nonorthogonal multiple access (NOMA) solutions. In this article, we provide comprehensive review signature-based NOMA (S-NOMA) schemes as potential candidates for IoT. signature S-NOMA represents way data stream an active device is spread over manner. It can be designed based on device-specific codebook structures, delay patterns, spreading sequences, interleaving...
Applications and technologies of the Internet Things are in high demand with increase network devices. With development such as 5G, machine learning, edge computing, Industry 4.0, has evolved. This survey article discusses evolution presents vision for 2.0. The 2.0 is discussed across seven major fields. These fields learning intelligence, mission critical communication, scalability, energy harvesting-based sustainability, interoperability, user friendly IoT, security. Other than these...
Industrial Internet of Things (IIoT) applications generate data in varying amounts with diverse quality service requirements. The adaptive network access approach and distributed resource management IIoT networks can reduce the communication overheads caused by centralized approaches. In this regard, statistical learning is a promising tool for addressing decision-making problems dynamic environment. This article considers uplink dominant which massive devices delay-sensitive delay-tolerant...
In this letter, we address the problem of closed-form data aided (DA) and non-data (NDA) maximum likelihood (ML) signal-to-noise ratio (SNR) estimation for hyper-cubic modulated signals over Gaussian channel. The requirement high SNR is exploited to derive expression unbiased NDA ML estimator. Exact expressions DA Cramer-Rao lower bound (CRLB) on variance these estimators are also determined analytically. Monte Carlo simulation method used compute normalized mean squared error (NMSE)...
Mission-critical Internet-of-Things (IoT) applications require communication interfaces that provide ultra-reliability and low latency. Acquiring knowledge regarding the number of active devices their latency-reliability requirements becomes essential to optimize resource allocation in heterogeneous networks. Due inherent heavy computation overheads, conventional centralized decision-making approaches result large The distributed computing device-level prediction network parameters can play...
The concept of mashup is gaining tremendous popularity and its application can be seen in a large number domains. Enterprises using relying upon have improved their mass collaboration personalization. In order for technology to widely accepted used, we need methodology by which make use the quality input process as governing principle carry out mashup. This paper reviews different domains proposes conceptual solution framework providing based process.
Meeting the diverse quality-of-service (QoS) requirements in ultra-dense Internet of Things (IoT) networks operating under varying network loads is challenging. Moreover, latency-critical IoT applications cannot afford excessive control signaling overheads caused by centralized access methods. A distributed approach can potentially address this problem. In regard, multi-agent multi-armed bandit (MAB) learning a promising tool for designing protocols. This paper proposes MAB learning-based...
One database commonly used by clinicians for searching the medical literature and practicing evidence-based medicine is PubMed. As grows, it has become challenging users to find relevant material quickly because most of time results are not on top. In this article, we propose a search ranking pipeline improve based relevancy. We first an ensemble model consisting three classifiers: bidirectional long-short-term memory conditional random field (bi-LSTM-CRF), support vector machine naive Bayes...
Mission-critical machine type communication (MC-MTC) systems in which machines communicate to perform various tasks such as coordination, sensing, and actuation, require stringent requirements of ultra-reliable low latency communications (URLLC). Edge computing being an integral part future wireless networks, provides services that support URLLC applications. In this paper, we use the edge approach present a statistical learning-based dynamic retransmission mechanism. The proposed meets...
The problem of providing massive connectivity in Internet-of-Things (IoT) with a limited number available resources motivates the non-orthogonal multiple access (NOMA) solutions. In this article, we provide comprehensive review signature-based NOMA (S-NOMA) schemes as potential candidates for IoT. signature S-NOMA represents way data stream an active device is spread over manner. It can be designed based on device-specific codebook structures, delay patterns, spreading sequences,...
In this contribution we derive analytical expression for the Cramer-Rao lower bound (CRLB) on variance of unbiased non-data-aided (NDA) signal to noise ratio (SNR) estimates hyper-cubic modulated signals. Underlying channel is assumed be additive white Gaussian (AWGN) channel. Asymptote CRLB higher SNR case also derived in closed form. It has been shown that low region changes significantly different dimensions constellation (HCC) and observations. For corresponding large but it gets reduced...
The Digital Business Ecosystem (DBE) is the result of co-evolution and Ecosystem. There are numerous approaches enabling technologies which used in modeling open business marketplaces and, due to similarities between environments, they can also help enable but with some limitations. complete lifecycle DBE be decomposed into following phases: formation, evolution dissipation. In this work, our main focus on importance negotiation formation phase especially structure Contract Net Protocol. We...
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