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

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 wireless sensor networks (WSNs), communication traffic and network resource control are performed depending on independently employed mechanisms to deal with events occurring on different levels of the network. It is therefore challenging to realize efficient network performance with guaranteed quality of service (QoS) in WSNs, given their computing limitations. Software defined networking (SDN) carries the potential 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). 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. 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.