SDN-Enabled Energy-Efficient Routing Optimization Framework for Industrial Internet of Things

Naeem, Faisal; Tariq, Muhammad; Poor, H. Vincent

doi:10.1109/tii.2020.3006885

Cited by 54 publications

(22 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some authors proposed [ 13 ] secure communication for data transmission, which is suitable only for the social activities rather than industrial processes. The QoS-based approach is followed in [ 14 ]; however, smart grid applications require a main focus on control packets and reliability, which is why some optimizations are required. Unless with the help of network slicing [ 15 , 16 ], this cannot be gained.…”

Section: Related Workmentioning

confidence: 99%

An Optimized Framework for WSN Routing in the Context of Industry 4.0

Rani

Koundal

Kavita

et al. 2021

Sensors

View full text Add to dashboard Cite

The advancements in Industry 4.0 have opened up new ways for the structural deployment of Smart Grids (SGs) to face the endlessly rising challenges of the 21st century. SGs for Industry 4.0 can be better managed by optimized routing techniques. In Mobile Ad hoc Networks (MANETs), the topology is not fixed and can be encountered by interference, mobility of nodes, propagation of multi-paths, and path loss. To extenuate these concerns for SGs, in this paper, we have presented a new version of the standard Optimized Link State Routing (OLSR) protocol for SGs to improve the management of control intervals that enhance the efficiency of the standard OLSR protocol without affecting its reliability. The adapted fault tolerant approach makes the proposed protocol more reliable for industrial applications. The process of grouping of nodes supports managing the total network cost by reducing severe flooding and evaluating an optimized head of clusters. The head of the unit is nominated according to the first defined expectation factor. With a sequence of rigorous performance evaluations under simulation parameters, the simulation results show that the proposed version of OLSR has proliferated Quality of Service (QoS) metrics when it is compared against the state-of-the-art-based conventional protocols, namely, standard OLSR, DSDV, AOMDV and hybrid routing technique.

show abstract

Section: Related Workmentioning

confidence: 99%

An Optimized Framework for WSN Routing in the Context of Industry 4.0

Rani

Koundal

Kavita

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…In [35], Naeem et al proposed an SDN-based energyefficient and QoS-aware parallel routing scheme for IIoTbased smart healthcare networks. The authors considered a max-flow-min-cost optimization problem with multiconstrained QoS parameters while characterizing medical services as jitter-sensitive, loss-sensitive, and delay-sensitive flows.…”

Section: B Multicast Qos Routing Approachmentioning

confidence: 99%

“…We denote the neighborhoods of the switch i ∈ V , i.e., the set of all nodes connected directly to i, by N (i). A flow f k is forwarded on link e ∈ L only if a particular flow-rule is configured at switch i ∈ V to the switch j ∈ N (i) [35]. Thus, the maximum number of flow-rules at switch i can be formulated as shown in (2), where the number of flow-rules associated with the k th flow f k at device i can be determined by (2a), and the total number of flow-rules associated with all flows f k ∈ F going through device i is defined by (2b).…”

Section: A Constrained Network Resourcesmentioning

confidence: 99%

Parallel Route Optimization and Service Assurance in Energy-Efficient Software-Defined Industrial IoT Networks

Njah

Cheriet

2021

IEEE Access

View full text Add to dashboard Cite

In recent years, the Industrial world has been embracing new digital technology, including the internet of things (IoT) paradigm that promises revolutionizing-prospects in numerous industrial applications. However, many deployment challenges related to real-time big data analytics, service assurance, resource optimization, energy consumption, and security awareness are raised. In this work, we focus on service assurance and resource optimization, including energy consumption challenges over Industrial Internet of Things (IIoT)-based environments since the existing network routing algorithms cannot meet the strict heterogeneous quality of service (QoS) requirements of industrial communications while optimizing resources. We take advantage of the flexibility and programmability offered by the promising softwaredefined networking paradigm, and we propose a centralized route optimization and service assurance scheme, named ROSA, over a multi-layer programmable industrial architecture. The proposed solution supports a wide range of heterogeneous flows, such as ultra-reliable low-latency communications (URLLC) and bandwidth-sensitive services. The routing optimization problems are formulated as multi-constrained shortest path problems. The Lagrangian Relaxation approach is used to solve the NP-hard complexity. Hence, we deploy a pair of parallel routing algorithms run according to the flow type to ensure QoS requirements, efficiently allocate constrained resources, and enhance the overall network energy consumption. We conduct extensive simulations to validate the proposed ROSA scheme. The experimental results show promising performance in terms of reducing bandwidth utilization by up to 22%, end-to-end delay at least by 21%, packet loss by more than 19%, flow violation by about 16%, and energy consumption up to 14% as compared to well-known benchmarks in QoS provisioning and energy-aware routing problem.INDEX TERMS Industrial Internet of Things (IIoT), Software-Defined Networking (SDN), multiprogrammability, traffic engineering, Quality of Service (QoS), energy awareness, resource optimization.

show abstract

“…Furthermore, Oztemel et al [27] analyzed Industry 4.0, and associated innovations also [28] reviewed some of the cyber-security threats included in the advanced industrial production and Industry 4.0 path, further the relevant preventive measures currently adopted or under implementation. On the similar work to introduced an energy-efficient and QoSaware parallel routing optimization algorithm for Software-Defined IIoT focused on healthcare systems, a scalable routing scheme for an outsized IIoT network has proposed [29] which is eight times faster than the existing programmes. Moreover, a quick parallel online routing optimization architecture is pro-(IJACSA) International Journal of Advanced Computer Science and Applications, Vol.…”

Section: B Literature Reviewmentioning

confidence: 99%

DistB-SDoIndustry: Enhancing Security in Industry 4.0 Services based on Distributed Blockchain through Software Defined Networking-IoT Enabled Architecture

Rahman¹,

Sara²,

Kundu³

et al. 2020

IJACSA

View full text Add to dashboard Cite

The concept of Industry 4.0 is a newly emerging focus of research throughout the world. However, it has lots of challenges to control data, and it can be addressed with various technologies like Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Software Defined Networking (SDN), and Blockchain (BC) for managing data securely. Further, the complexity of sensors, appliances, sensor networks connecting to the internet and the model of Industry 4.0 has created the challenge of designing systems, infrastructure and smart applications capable of continuously analyzing the data produced. Regarding these, the authors present a distributed Blockchain-based security to industry 4.0 applications with SDN-IoT enabled environment. Where the Blockchain can be capable of leading the robust, privacy and confidentiality to our desired system. In addition, the SDN-IoT incorporates the different services of industry 4.0 with more security as well as flexibility. Furthermore, the authors offer an excellent combination among the technologies like IoT, SDN and Blockchain to improve the security and privacy of Industry 4.0 services properly. Finally , the authors evaluate performance and security in a variety of ways in the presented architecture.

show abstract

SDN-Enabled Energy-Efficient Routing Optimization Framework for Industrial Internet of Things

Cited by 54 publications

References 20 publications

An Optimized Framework for WSN Routing in the Context of Industry 4.0

An Optimized Framework for WSN Routing in the Context of Industry 4.0

Parallel Route Optimization and Service Assurance in Energy-Efficient Software-Defined Industrial IoT Networks

DistB-SDoIndustry: Enhancing Security in Industry 4.0 Services based on Distributed Blockchain through Software Defined Networking-IoT Enabled Architecture

Contact Info

Product

Resources

About