Abstract
Smart reconfiguration of a dynamic networking environment is offered by the central control of Software-Defined Networking (SDN). Centralized SDN-based management architectures are capable of retrieving global topology intelligence and decoupling the forwarding plane from the control plane. Routing protocols developed for conventional Wireless Sensor Networks (WSNs) utilize limited iterative reconfiguration methods to optimize environmental reporting. However, the challenging networking scenarios of WSNs involve a performance overhead due to constant periodic iterative reconfigurations. In this paper, we propose the SDN-based Application-aware Centralized adaptive Flow Iterative Reconfiguring (SACFIR) routing protocol with the centralized SDN iterative solver controller to maintain the load-balancing between flow reconfigurations and flow allocation cost. The proposed SACFIR’s routing protocol offers a unique iterative path-selection algorithm, which initially computes suitable clustering based on residual resources at the control layer and then implements application-aware threshold-based multi-hop report transmissions on the forwarding plane. The operation of the SACFIR algorithm is centrally supervised by the SDN controller residing at the Base Station (BS). This paper extends SACFIR to SDN-based Application-aware Main-value Centralized adaptive Flow Iterative Reconfiguring (SAMCFIR) to establish both proactive and reactive reporting. The SAMCFIR transmission phase enables sensor nodes to trigger direct transmissions for main-value reports, while in the case of SACFIR, all reports follow computed routes. Our SDN-enabled proposed models adjust the reconfiguration period according to the traffic burden on sensor nodes, which results in heterogeneity awareness, load-balancing and application-specific reconfigurations of WSNs. Extensive experimental simulation-based results show that SACFIR and SAMCFIR yield the maximum scalability, network lifetime and stability period when compared to existing routing protocols.
Highlights
Modern dramatic progression in Micro Electro-Mechanical Systems (MEMS) has enabled WirelessSensor Networks (WSNs) to support a wide range of military and civil applications that demand real-time environmental monitoring, infrastructure protection and smart network performance analysis
The iterative architecture of Software-Defined Networking (SDN)-IRWSNs consists of OpenFlow-enabled sensor nodes deployed at the infrastructure layer, while these sensors are connected to the SDN central controller, which resides at the Base Station (BS)
Conventional SDN controllers have flexibility issues in scalable wireless sensor networks, which is why recently-evolved solutions for SDN-Wireless Sensor Networks (WSNs) have involved researchers proposing their own controllers according to the architecture and requirement of the sensor networks
Summary
Modern dramatic progression in Micro Electro-Mechanical Systems (MEMS) has enabled Wireless. Recent research on WSNs highlights some solutions to deal with the challenges encountered by introducing central management and control of network reconfigurations [8,9] These solutions mainly focus on channeling programmable sensor devices. We propose highly adaptive and dynamic iterative reconfigurations for WSNs with the support of SDN-based centralized network management. This dynamic configuration periodicity is adjusted according to the network requirements of the remaining resources at the Top-Of-Rack (TOR) switches of infrastructure level, while upper layer resources are considered to be sufficient throughout the network period.
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