The upcoming Sixth Generation (6G) networks aim for fully automated, intelligent network functionalities and services. Therefore, Machine Learning (ML) is essential for these networks. Given stringent privacy regulations, future network architectures should use privacy-preserved ML for their applications and services. Federated Learning (FL) is expected to play an important role as a popular approach for […]
Read More
With the rapid progression of communication and localisation of big data over billions of devices, distributed Machine Learning (ML) techniques are emerging to cater for the development of Artificial Intelligence (AI)-based services in a distributed manner. Federated Learning (FL) is such an innovative approach to achieve a privacy-preserved AI that facilitates ML model sharing and […]
Read MoreEnergy blockchain applications are becoming inevitable with the transformation of electricity distributionnetworks into the decentralized Smart Grid 2.0 architecture. The scalability of the blockchain platform plays a key role in catering to the increasing number of nodes connected due to consumerturned-prosumers being integrated into the distribution grid in a distributed manner. Hence, this study aims […]
Read More
Internet of Things (IoT) sensors monitor temperature-sensitive goods throughout the supply chain. Nowadays, blockchain is being widely used for traceability, transparency, and immutable storage of this data. However, this approach lacks a mechanism to assess the trustworthiness of the data, and as a result, the reliability of the system is constrained by the quality of […]
Read More
The convergence of blockchain and Internet of Things (IoT) has become increasingly prevalent recently, as it addresses challenges such as single point of failure and security concerns associated with IoT.Blockchain offers immutable data storage, availability, and transparency, but a significant drawback lies in its inability to verify the truthfulness of the data stored on it. […]
Read More
Recently, there has been a surge of interest surrounding the integration of blockchain with the Internet of Things (IoT), aiming to address IoT’s inherent issues like single points of failure and concerns related to data integrity. However, although blockchain provides decentralization and transparency, it does not guarantee the accuracy and reliability of IoT-generated data. Therefore, […]
Read More
The latest 5G mobile networks have enabled many exciting Internet of Things (IoT) applications that employ unmanned aerial vehicles (UAVs/drones). The success of most UAV-based IoT applications is heavily dependent on artificial intelligence (AI) technologies, for instance, computer vision and path planning. These AI methods must process data and provide decisions while ensuring low latency […]
Read More
Due to the spread of Coronavirus disease 2019 (COVID-19), the world has encountered an ongoing pandemic to date. It is a highly contagious disease. In addition to the vaccination, social distancing and isolation of patients are proven to be one of the commonly used strategies to reduce the spread of disease. For efficient social distancing, […]
Read More
Smart Grid 2.0 is envisaged to automate the operations of the intelligent electricity grid. Blockchainand smart contracts are integrated to facilitate the transformation from DSO-centric operations toconsumer-oriented, distributed electricity grid management. The envisaged smart grids, integratedwith blockchain would provoke challenges, which would hinder the maximum utilization of DistributeEnergy Resources (DERs). This comprehensive review aims at […]
Read More
Typical wearable devices use a dedicated mobile phone as relay node to transfer the collected sensor data toa server. However, such relay nodes can be faulty or inactive due to various reasons, leading to interruptions of the communication link. To mitigate this challenge, we propose anovel security-enhanced emergency situation detection system, where 3rd party unknown […]
Read More