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Software defined networking based resource management and quality of service support in wireless sensor network applications

Thesis (PhD)--University of Pretoria, 2018.

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Other Authors: Malekian, Reza
Format: Thesis
Language:English
Published: University of Pretoria 2018
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access_status_str Open Access
author2 Malekian, Reza
author_browse Malekian, Reza
author_facet Malekian, Reza
collection Thesis
dc_rights_str_mv © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria.
description Thesis (PhD)--University of Pretoria, 2018.
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institution University of Pretoria (South Africa)
language English
last_indexed 2026-06-10T12:36:18.085Z
license_str Other — see source repository
provenance_str_mv Harvested via OAI-PMH from UPSpace — University of Pretoria Institutional Repository
publishDate 2018
publishDateRange 2018
publishDateSort 2018
publisher University of Pretoria
publisherStr University of Pretoria
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source_str UPSpace — University of Pretoria Institutional Repository
spelling oai:repository.up.ac.za:2263/67319 Software defined networking based resource management and quality of service support in wireless sensor network applications Malekian, Reza bletswamotse@gmail.com Letswamotse, Babedi Betty Software Defined Wireless Sensor Networks Quality of Service Resource Management UCTD Thesis (PhD)--University of Pretoria, 2018. To achieve greater performance in computing networks, a setup of critical computing aspects that ensures efficient network operation, needs to be implemented. One of these computing aspects is, Quality of Service (QoS). Its main functionality is to manage traffic queues by means of prioritizing sensitive network traffic. QoS capable networking allows efficient control of traffic especially for network critical data. However, to achieve this in Wireless Sensor Networks (WSN) is a serious challenge, since these technologies have a lot of computing limitations. It is even difficult to manage networking resources with ease in these types of technologies, due to their communication, processing and memory limitations. Even though this is the case with WSNs, they have been largely used in monitoring/detection systems, and by this proving their application importance. Realizing efficient network control requires intelligent methods of network management, especially for sensitive network data. Different network types implement diverse methods to control and administer network traffic as well as effectively manage network resources. As with WSNs, communication traffic and network resource control are mostly performed depending on independently employed mechanisms to deal with networking events occurring on different levels. It is therefore challenging to realize efficient network performance with guaranteed QoS in WSNs, given their computing limitations. Software defined networking (SDN) is advocated as a potential paradigm to improve and evolve WSNs in terms of capacity and application. A means to apply SDN strategies to these compute-limited WSNs, formulates software defined wireless sensor networks (SDWSN). In this work, a resource-aware OpenFlow-based Active Network Management (OF-ANM) QoS scheme that uses SDN strategies is proposed and implemented to apply QoS requirements for managing traffic congestion in WSNs. This scheme uses SDN programmability strategies to apply network QoS requirements and perform traffic load balancing to ensure congestion control in SDWSN. Our experimental results show that the developed scheme is able to provide congestion avoidance within the network. It also allows opportunities to implement flexible QoS requirements based on the system’s traffic state. Moreover, a QoS Path Selection and Resource-associating (Q-PSR) scheme for adaptive load balancing and intelligent resource control for optimal network performance is proposed and implemented. Our experimental results indicate better performance in terms of computation with load balancing and efficient resource alignment for different networking tasks when compared with other competing schemes. National Research Foundation University of Pretoria Electrical, Electronic and Computer Engineering PhD Unrestricted 2018-11-26T06:50:31Z 2018-11-26T06:50:31Z 2019-04 2018 Thesis Letswamotse, BB 2018, Software defined networking based resource management and quality of service support in wireless sensor network applications, PhD Thesis, University of Pretoria, Pretoria, viewed yymmdd <http://hdl.handle.net/2263/67319> A2019 http://hdl.handle.net/2263/67319 en © 2018 University of Pretoria. All rights reserved. The copyright in this work vests in the University of Pretoria. No part of this work may be reproduced or transmitted in any form or by any means, without the prior written permission of the University of Pretoria. application/pdf University of Pretoria
spellingShingle Software Defined Wireless Sensor Networks
Quality of Service
Resource Management
UCTD
Software defined networking based resource management and quality of service support in wireless sensor network applications
title Software defined networking based resource management and quality of service support in wireless sensor network applications
title_full Software defined networking based resource management and quality of service support in wireless sensor network applications
title_fullStr Software defined networking based resource management and quality of service support in wireless sensor network applications
title_full_unstemmed Software defined networking based resource management and quality of service support in wireless sensor network applications
title_short Software defined networking based resource management and quality of service support in wireless sensor network applications
title_sort software defined networking based resource management and quality of service support in wireless sensor network applications
topic Software Defined Wireless Sensor Networks
Quality of Service
Resource Management
UCTD
url http://hdl.handle.net/2263/67319