QSDN-WISE: A New QoS-Based Routing Protocol for Software-Defined Wireless Sensor Networks

Tan, Xuehou; Zhang, Hai; Han, Guangjie; Zhang, Wenbo; Zhu, Teng

doi:10.1109/access.2019.2915957

Cited by 29 publications

(13 citation statements)

References 37 publications

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“…Clustering based routing process has several advantages such as data packets aggregation [16] and reduction of control messages [12] in the network. These reduce nodes energy consumption.…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

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Energy management techniques in Software-Define Wireless Sensor Network

Boulou¹,

Yélémou²,

Go³

et al. 2022

Proceedings of the 4th Edition of the Computer Science Research Days, JRI 2021, 11-13 November 2021, Bobo-Dioulasso, Burkina Fa

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Software Defined Wireless Sensor Network (SDWSN) is composed of sensors nodes in which routing processes are entrusted to a controller in a centralized mode. In an SDWSN architecture, the control plane is decoupled from the data plane. Sensor nodes are easily reconfigurable and are even more flexible than in traditional WSNs. Resource management becomes easy. However, this centralized management of routing processes requires a large amount of control messages. This induces additionnal energy consumption. In this paper, first, we analyse different techniques used to face this energy consumption problem and we highlight limits of the used methods. Then, we provide some perspectives.

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“…Clustering based routing process has several advantages such as data packets aggregation [16] and reduction of control messages [12] in the network. These reduce nodes energy consumption.…”

Section: Discussion and Perspectivesmentioning

confidence: 99%

“…Tan et al [12] proposed QSDN-WISE that is a software-defined hierarchical network architecture for WSNs. It makes the system adaptable and allows complex network management.…”

Section: Clusteringmentioning

confidence: 99%

Energy management techniques in Software-Define Wireless Sensor Network

Boulou¹,

Yélémou²,

Go³

et al. 2022

Proceedings of the 4th Edition of the Computer Science Research Days, JRI 2021, 11-13 November 2021, Bobo-Dioulasso, Burkina Fa

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“…QoS-based routing protocol for Software-Defined Wireless Sensor Networks (QSDNWISE) is a novel architecture proposed in [34] for appropriate routing. In this architecture, a large number of clusters and cluster heads are utilized around the sink based on the high energy consumption of nodes.…”

Section: Related Workmentioning

confidence: 99%

A Mechanism for Load Balancing Routing and Virtualization Based on SDWSN for IoT Applications

2022

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Wireless sensor networks (WSN) are important communication components of an internet of things (IoT). With the development of IoT and the increasing number of connected devices, network structure management and maintenance face the serious challenge of energy consumption. By balancing the network load, the energy consumption can be improved effectively. In the conventional WSN architecture, the two prerequisites of the load-balancing mechanism, flexibility and adaptability, are difficult to achieve. softwaredefined networking (SDN) is a novel network architecture that can promote flexibility and adaptability using a centralized controller. In this paper, a novel SDN architecture aimed at reducing load distribution and prolonging lifetime is proposed, which consists of different components such as topology, BS and controller discovery, link, and virtual routing. Accordingly, a new mechanism is proposed for load-balancing routing through SDN and virtualization. Through direct monitoring of the link load information and the network running status, the employed OpenFlow protocol can determine load-balancing routing for every flow in different IoT applications. The flows in different resource applications can be directed to a base station (BS) via various routes. This implementation reduces the exchange of network status and other relevant information. Virtual routing aims to weigh forward nodes and select the best node for each IoT application. The simulation results show the distribution of load over the network in the proposed algorithm and are characterized by the balanced network energy consumption, but also it prolongs network lifetime in comparison to the LEACH, improved LEACH, and LEACH-C algorithms. IoT, load balancing, routing, SDN, WSN. INDEX TERMS

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“…The processes of multiroute routing allow better use of the network resources, by distributing the traffic over a greater number of nodes. To achieve this, there must be a different metric, which allows multiple routes from the source node to the sinks, as in [ 16 ], where the Dijkstra algorithm is used with a metric composed of multiple parameters such as congestion level, signal level (RSSI), and the battery level of the nodes. This allows multiple routes to be generated to differentiate traffic according to QoS.…”

Section: Sdn Over Tschmentioning

confidence: 99%

“…So far, current studies using SDN-WISE have focused on specific aspects, such as “Priorities” [ 15 ], where from the level of congestion in each node, the probability of discarding the packets is modified and the controller modifies the routes. The routing process [ 16 ] is where traffic is prioritized according to its sensitivity to delay and packet loss; and uses a multipath routing protocol, with a metric composed of congestion, battery level, and RSSI (Received Signal Strength Indicator) values of the nodes. Mobility and TSCH are dealt with in [ 17 ], where it is demonstrated that, from high update levels, the controller can adapt to changes produced by a mobile node.…”

Section: Introductionmentioning

confidence: 99%

Enhancing SDN WISE with Slicing Over TSCH

Orozco-Santos

Sempere-Payá

Albero-Albero

et al. 2021

Sensors

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IWSNs (Industrial Wireless Sensor Networks) have become the next step in the evolution of WSN (Wireless Sensor Networks) due to the nature and demands of modern industry. With this type of network, flexible and scalable architectures can be created that simultaneously support traffic sources with different characteristics. Due to the great diversity of application scenarios, there is a need to implement additional capabilities that can guarantee an adequate level of reliability and that can adapt to the dynamic behavior of the applications in use. The use of SDNs (Software Defined Networks) extends the possibilities of control over the network and enables its deployment at an industrial level. The signaling traffic exchanged between nodes and controller is heavy and must occupy the same channel as the data traffic. This difficulty can be overcome with the segmentation of the traffic into flows, and correct scheduling at the MAC (Medium Access Control) level, known as slices. This article proposes the integration in the SDN controller of a traffic manager, a routing process in charge of assigning different routes according to the different flows, as well as the introduction of the Time Slotted Channel Hopping (TSCH) Scheduler. In addition, the TSCH (Time Slotted Channel Hopping) is incorporated in the SDN-WISE framework (Software Defined Networking solution for Wireless Sensor Networks), and this protocol has been modified to send the TSCH schedule. These elements are jointly responsible for scheduling and segmenting the traffic that will be sent to the nodes through a single packet from the controller and its performance has been evaluated through simulation and a testbed. The results obtained show how flexibility, adaptability, and determinism increase thanks to the joint use of the routing process and the TSCH Scheduler, which makes it possible to create a slicing by flows, which have different quality of service requirements. This in turn helps guarantee their QoS characteristics, increase the PDR (Packet Delivery Ratio) for the flow with the highest priority, maintain the DMR (Deadline Miss Ratio), and increase the network lifetime.

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QSDN-WISE: A New QoS-Based Routing Protocol for Software-Defined Wireless Sensor Networks

Cited by 29 publications

References 37 publications

Energy management techniques in Software-Define Wireless Sensor Network

Energy management techniques in Software-Define Wireless Sensor Network

A Mechanism for Load Balancing Routing and Virtualization Based on SDWSN for IoT Applications

Enhancing SDN WISE with Slicing Over TSCH

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