scispace - formally typeset
B

Babedi Betty Letswamotse

Researcher at University of Pretoria

Publications -  7
Citations -  240

Babedi Betty Letswamotse is an academic researcher from University of Pretoria. The author has contributed to research in topics: Wireless sensor network & Quality of service. The author has an hindex of 5, co-authored 7 publications receiving 178 citations.

Papers
More filters
Journal ArticleDOI

Software defined wireless sensor networks application opportunities for efficient network management: A survey

TL;DR: A strategy for Software Defined Wireless Sensor Network (SDWSN) is proposed as an effort for application improvement in monitored environments and application challenges faced by WSNs for monitored environments are highlighted.
Journal Article

Software Defined Wireless Sensor Networks (SDWSN): A Review on Efficient Resources, Applications and Technologies

TL;DR: The proposed strategies are aimed at simplifying QoS provisioning for these constrained technologies using programming methods to advance WSNs applications and their implementations to improve network performance.
Journal ArticleDOI

Flexible network management and application service adaptability in software defined wireless sensor networks

TL;DR: Experimental results indicate that in this approach, the traffic flow routing is significantly improved, with reduced transmission delays and that the underlying sensor nodes uses less energy since energy demanding tasks are performed on the controller.
Journal ArticleDOI

Software Defined Wireless Sensor Networks and Efficient Congestion Control

TL;DR: This study proposes and implements a resource-aware OpenFlow-based active network management QoS scheme that uses software defined networking (SDN) strategies to apply network QoS requirements and perform traffic load balancing to ensure congestion control in software defined WSNs.
Journal ArticleDOI

Adaptable QoS provisioning for efficient traffic-to-resource control in software defined wireless sensor networks

TL;DR: This work proposes a QoS Path Selection and Resource-associating (Q-PSR) scheme for adaptive load balancing and intelligent resource control for optimal network performance, and experimental results indicate better performance in terms of computation withload balancing and efficient resource alignment for different networking tasks when compared with other competing schemes.