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dc.contributor.authorKimeze, Samuel
dc.date.accessioned2022-03-02T14:00:12Z
dc.date.available2022-03-02T14:00:12Z
dc.date.issued2022-03-02
dc.identifier.citationKimeze, Samuel. (2022). Qos-aware resource allocation for machine type communications (Unpublished undergraduate dissertation), Makerere University: Kampala, Ugandaen_US
dc.identifier.urihttp://hdl.handle.net/20.500.12281/11222
dc.descriptionThis project focuses on the development of an algorithm that ensures that the available resources on the network are allocated for taking into account the diverse quality of service requirements of both machine type communication and human type communicationen_US
dc.description.abstractMachine Type Communication (MTC) is a rapidly growing trend of mobile communications with a lot of applications in areas such as smart home technologies, sensor networks in factories, e-health, safety and protection and education. The integration of this trend in the existing network structure raises a number of concerns among which is Quality of Service (QoS) degradation since some of those applications are delay critical and others are resource hungry. In this project we propose a resource allocation scheme based on clustering with priority algorithm that will ensure that the available resources are allocated well putting into consideration the diverse QoS requirements for MTC devices. For this algorithm, the Machine Type Communication Devices (MTCDs) will be grouped/clustered according to delay, and error tolerance and priority will be assigned depending on the characteristics of the traffic from a particular MTC group. This project aims at reducing packet loss, delay and jitter in the network better than some of the proposed techniques and algorithms by some of the researchers.en_US
dc.language.isoenen_US
dc.subjectQoSen_US
dc.subjectMachine communicationsen_US
dc.titleQos-aware resource allocation for machine type communicationsen_US
dc.typeThesisen_US


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