Browsing by Author "Ahmad, Khaleel"

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Citation Count: 3
Flying Ad Hoc Network Expedited by Dtn Scenario: Reliable and Cost-Effective Mac Protocols Perspective
(Ieee, 2020) Arsheen, Sobiya; Wahid, Abdul; Ahmad, Khaleel; Khalim, Khujamatov; Department of Data Communication Networks and Systems
Flying Adhoc Network (FANET) is an emerging topic of research in the wireless network area, FANET has several common features with its predecessor e.g. Mobile Adhoc Network (MANET) and Vehicle Adhoc Network (VANET), but the network has several unique features also which make it different from other networks. The sparseness of nodes, coupled with frequent changing of topology significantly affects the data transmission rate of the network. To overcome this problem, FANET can be assisted with Delay Tolerant Network (DTN) approach to exploit its mobility and routing features. The main aim of this work is to make Flying Adhoc Network reliable by deploying two MAC protocols i.e. IEEE 802.11 and IEEE 802.15 and realize the functionality of Delay Tolerant Network (DTN) in a FANET.
Citation Count: 0
Fog Computing Capabilities for Big Data Provisioning: Visualization Scenario
(Mdpi, 2022) Khujamatov, Halimjon; Ahmad, Khaleel; Usmanova, Nargiza; Khoshimov, Jamshid; Alduailij, Mai; Alduailij, Mona; Department of Data Communication Networks and Systems
With the development of Internet technologies, huge amounts of data are collected from various sources, and used 'anytime, anywhere' to enrich and change the life of the whole of society, attract ways to do business, and better perceive people's lives. Those datasets, called 'big data', need to be processed, stored, or retrieved, and special tools were developed to analyze this big data. At the same time, the ever-increasing development of the Internet of Things (IoT) requires IoT devices to be mobile, with adequate data processing performance. The new fog computing paradigm makes computing resources more accessible, and provides a flexible environment that will be widely used in next-generation networks, vehicles, etc., demonstrating enhanced capabilities and optimizing resources. This paper is devoted to analyzing fog computing capabilities for big data provisioning, while considering this technology's different architectural and functional aspects. The analysis includes exploring the protocols suitable for fog computing by implementing an experimental fog computing network and assessing its capabilities for providing big data, originating from both a real-time stream and batch data, with appropriate visualization of big data processing.