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Abdelrahman Abuarqoub

Researcher at Middle East University

Publications -  35
Citations -  887

Abdelrahman Abuarqoub is an academic researcher from Middle East University. The author has contributed to research in topics: Wireless sensor network & Computer science. The author has an hindex of 11, co-authored 32 publications receiving 595 citations. Previous affiliations of Abdelrahman Abuarqoub include Cardiff Metropolitan University & Manchester Metropolitan University.

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Journal ArticleDOI

Secure and Reliable IoT Networks Using Fog Computing with Software-Defined Networking and Blockchain

TL;DR: A framework for IoT is presented that employs an edge computing layer of Fog nodes controlled and managed by an SDN network to achieve high reliability and availability for latency-sensitive IoT applications and achieves higher efficiency in terms of latency and resource utilization.
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A Wireless Sensor Network Border Monitoring System: Deployment Issues and Routing Protocols

TL;DR: An appropriate metric to measure the quality of WSN border crossing detection is identified and a method to calculate the required number of sensor nodes to deploy in order to achieve a specified level of coverage according to the chosen metric in a given belt region is proposed.
Journal ArticleDOI

Dynamic clustering and management of mobile wireless sensor networks

TL;DR: A self-organizing and adaptive Dynamic Clustering (DCMDC) solution to maintain MDC-relay networks based on dividing the network into well-delimited clusters called Service Zones (SZs) that improves the packet delivery ratio, energy consumption, and prolongs the network lifetime.
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Chaotic salp swarm algorithm for SDN multi-controller networks

TL;DR: A dynamic optimization algorithm that is based on the Salp Swarm Optimization Algorithm is developed with the introduction of chaotic maps for enhancing the optimizer’s performance and results show that the proposed algorithm outperforms meta-heuristic algorithms and a game theory based algorithm in terms of execution time and reliability.
Proceedings ArticleDOI

A Survey on Internet of Things Enabled Smart Campus Applications

TL;DR: This survey paper focuses on how to leverage IoT technologies to build a modular approach to smart campuses and provides a comprehensive view of general types of smart campus applications.