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Jonathan Loo

Researcher at University of West London

Publications -  209
Citations -  4078

Jonathan Loo is an academic researcher from University of West London. The author has contributed to research in topics: Femtocell & Cellular network. The author has an hindex of 26, co-authored 200 publications receiving 3016 citations. Previous affiliations of Jonathan Loo include Middlesex University & University of Hertfordshire.

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BookDOI

Mobile Ad Hoc Networks: Current Status and Future Trends

TL;DR: Covering coverage of routing protocols, modeling and simulations tools, intelligent optimization techniques to multicriteria routing, security issues in FHAMIPv6, connecting moving smart objects to the Internet, underwater sensor networks, wireless mesh network architecture and protocols, adaptive routing provision using Bayesian inference, and adaptive flow control in transport layer using genetic algorithms.
Journal ArticleDOI

Recent Advances in Radio Resource Management for Heterogeneous LTE/LTE-A Networks

TL;DR: This paper presents a comprehensive survey of the RRM schemes that have been studied in recent years for LTE/LTE-A HetNets, with a particular focus on those for femtocells and relay nodes.
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Recent Advances in Information-Centric Networking-Based Internet of Things (ICN-IoT)

TL;DR: The potential of ICN for IoT is presented by providing state-of-the-art literature survey on ICN-based caching, naming, security, and mobility approaches for IoT with appropriate classification and operating systems and simulation tools are presented.
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Joint Computation and Communication Design for UAV-Assisted Mobile Edge Computing in IoT

TL;DR: In this article, the authors proposed a new optimization problem formulation that aims to minimize the total energy consumption including communication related energy, computation related energy and UAV flight energy by optimizing the bits allocation, time slot scheduling, and power allocation as well as UAV trajectory design.
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A Specification-Based IDS for Detecting Attacks on RPL-Based Network Topology

TL;DR: Simulation results show that the proposed Intrusion Detection System (IDS) has a high accuracy rate in detecting RPL topology attacks, while only creating insignificant overhead that enable its scalability in large-scale network.