Browsing by Author "Ridhawi, Ismaeel Al"
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Item Data and service management in densely crowded environments : challenges, opportunities, and recent developments(Institute of Electrical and Electronics Engineers Inc., 2019) Aloqaily, Moayad; Ridhawi, Ismaeel Al; Salameh, Haythem Bany; Jararweh, YaserDensely crowded environments such as stadiums and metro stations have shown shortcomings when users request data and services simultaneously. This is due to the excessive amount of requested and generated traffic from the user side. Based on the wide availability of user smart-mobile devices, and noting their technological advancements, devices are not being categorized only as data/service requesters anymore, but are readily being transformed to data/service providing network-side tools. In essence, to offload some of the workload burden from the cloud, data can be either fully or partially replicated to edge and mobile devices for faster and more efficient data access in such dense environments. Moreover, densely crowded environments provide an opportunity to deliver, in a timely manner, through node collaboration, enriched user-specific services using the replicated data and device-specific capabilities. In this article, we first highlight the challenges that arise in densely crowded environments in terms of data/service management and delivery. Then we show how data replication and service composition are considered promising solutions for data and service management in densely crowded environments. Specifically, we describe how to replicate data from the cloud to the edge, and then to mobile devices to provide faster data access for users. We also discuss how services can be composed in crowded environments using service-specific overlays. We conclude the article with most of the open research areas that remain to be investigated. © 2019 IEEE.Item An intrusion detection system for connected vehicles in smart cities(Elsevier B.V., 2019-07) Aloqaily, Moayad; Otoum, Safa; Ridhawi, Ismaeel Al; Jararweh, YaserItem A mobility management architecture for seamless delivery of 5G-IoT services(Institute of Electrical and Electronics Engineers Inc., 2019) Balasubramanian, Venkatraman; Zaman, Faisal; Aloqaily, Moayad; Ridhawi, Ismaeel Al; Jararweh, Yaser; Salameh, Haythem BanyMobile Edge Computing (MEC) and Network Slicing techniques have a potential to augment 5G-IoT network services. Telecommunication operators use a diverse set of radio access technologies to provide services for users. Mobility management is one such service that needs attention for new 5G deployments. The QoS requirements in 5G networks are user specific. Network slicing along with MEC has been promoted as a key enabler for such on-demand service schemes. This paper focuses on radio resource access across heterogeneous networks for mobile roaming users. A unified service architecture is proposed enabling seamless handover between a 5G (New Generation Core) service and a 4G (Evolved Packet Core) service via the network slicing paradigm. An identifier-locator (I-L) concept that allows active source-IP sessions is used to handle the seamless hand-over. Signaling costs, service disruptions and other resource reservation requirements are considered in the evaluation to assure that profit for mobile edge operators is achieved. Simulation experiments are considered to provide performance comparisons against the state-of-the-art Distributed Mobility Management Protocol (DMM). © 2019 IEEE.