OpenFlow based hybrid routing in Wireless Sensor Networks

Yuan, Arak Sae; Fang, Hsiang-Ting; Wu, Quincy

doi:10.1109/issnip.2014.6827650

Cited by 11 publications

(6 citation statements)

References 7 publications

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“…Yuan et al argue that the distributed routing of control flow is not conducive to the construction of a global view of the network. Therefore, they propose to only use distributed routing protocols as an alternative protocol when centralized routing control fails, indirectly improving the reliability of control flow transmission at the expense of network flexibility and programmability 22 . Liu et al 23 believed that the key to improving the forwarding efficiency of control flow is to reduce network control flow and then proposed to divide the network into clusters with the fewest number of border nodes, the control plane only manages the traffic across the cluster, and the traffic inside the cluster is distributed by the traditional routing protocol.…”

Section: Related Workmentioning

confidence: 99%

HIC: A high‐reliable in‐band control network for perception layer of software‐defined IoT

Huang

Zhou

et al. 2023

Trans Emerging Tel Tech

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With the rapid development of the Internet of Things (IoT) and the popularity of the software‐defined idea, the software‐defined Internet of Things (SD‐IoT) came into being. However, the transmission conflict between control flow and data flow in the perception layer with poor channel resources has become an important constraint for SD‐IoT. Thus, this paper adopts the idea of isolated forwarding control flow based on an in‐band channel, that is, selecting some sensor nodes to be responsible for forwarding control flow, and proposes high‐reliable in‐band control network (HIC), a high‐reliability in‐band control network. In order to support real‐time tasks in the IoT environment, HIC adopts a divided control area to support parallel responses of multiple partially overlapping tasks. Further, in each control area, the graph theory is used to model the control node selection problem, and an algorithm for efficiently solving the model is designed based on the community detection method. Finally, we developed the HIC experimental platform composed of HIC‐topology and HIC‐simulation and carried out simulation experiments and analysis from topology generation, maintenance, and operation. The experimental results show that HIC could better adapt to the SD‐IoT under multi‐task deployment, and has great advantages in terms of the success rate and time of topology rapid maintenance compared with similar solutions.

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Section: Related Workmentioning

confidence: 99%

HIC: A high‐reliable in‐band control network for perception layer of software‐defined IoT

Huang

Zhou

et al. 2023

Trans Emerging Tel Tech

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“…In terms of in‐band control, Yuan et al automatically use the traditional routing protocol such as ad hoc on‐demand distance vector routing to forward the control flow when the control fails, in order to improve the control reliability indirectly by sacrificing network flexibility and programmability. However, when centralized control fails in the work of Huang et al, the switches will enter disaster recovery mode and start self‐learning mechanism to transfer intra‐domain network packets to a neighboring domain and relay inter‐domain network packets from the opposite direction.…”

Section: Related Workmentioning

confidence: 99%

LCD: Light‐weight control model for data plane in software‐defined wireless sensor networks

Huang

2019

Trans Emerging Tel Tech

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With the introduction of software‐defined networking (SDN) into wireless sensor networks (WSNs) to simplify network management and increase agility, software‐defined WSNs (SDWSNs) came into being. Since SDN adopts an idea of centralized control, reliable control is a necessary guarantee of its performance. However, in SDWSN, the unreliable wireless links pose a significant challenge to the reliable control of data plane. In view of this, this paper adopts the idea of separating the forwarding process of control flow and data flow and presents a light‐weight control model for data plane in SDWSN. Based on the network global view, the model constructs an independent control forwarding layer to route control flow. The light‐weight feature of this model lies in that there is no need to deploy additional control networks. Finally, we design a fast update algorithm for the control failure that may occur by searching for the replacement of neighboring control nodes and achieve efficient maintenance of the control forwarding layer. The simulation results show that the proposed model has shorter request‐response time than the original SDN‐WISE, and the impact on data plane forwarding performance is also within the acceptable range.

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“…Since it considers the local information it may not be aware of the entire network topology. Arak et al ., in [10] integrated open flow into a link state routing protocol to manage the task of trouble shooting and network provisioning in wireless sensor networks. The controller manages the traffic flow and increases the utilisation of network resource by choosing an optimal routing path.…”

Section: Related Workmentioning

confidence: 99%

SCGRP: SDN‐enabled connectivity‐aware geographical routing protocol of VANETs for urban environment

Venkatramana¹,

Srikantaiah

Moodabidri³

2017

IET Networks

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Vehicular ad hoc network (VANET) is a backbone of intelligent transportation system that is envisaged to play a significant role in the futuristic smart cities for safety and traffic management. Designing an optimal multi-hop routing protocol with lower transmission delay and reduced overhead has remained to be a challenge owing to the inability of existing VANET architecture to handle scalability and flexibility efficiently. The present work incorporates an emerging network paradigm called software defined network (SDN) in VANETs. The SDN provides a global view of the network topology and includes programmability to vehicular networks. The architecture manages the complex and highly dynamic vehicular network in an abstract and simplified way by decoupling the control plane from the data plane. The work introduces a SDN-enabled connectivity-aware geographical routing protocol (SCGRP), a performance-enhanced protocol for an optimised transmission of data packets. The SCGRP is simulated using MININET-Wi-Fi and SUMO and the results are evaluated over the existing centralised routing protocol (CRP) routing protocol to prove its better performance.

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OpenFlow based hybrid routing in Wireless Sensor Networks

Cited by 11 publications

References 7 publications

HIC: A high‐reliable in‐band control network for perception layer of software‐defined IoT

HIC: A high‐reliable in‐band control network for perception layer of software‐defined IoT

LCD: Light‐weight control model for data plane in software‐defined wireless sensor networks

SCGRP: SDN‐enabled connectivity‐aware geographical routing protocol of VANETs for urban environment

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