A Review Software Defined Networking for Internet of Things

Mohammed, Alaa Hamid; Khaleefah, Raad. M.; Hussein, Mohammed Kareem; Abdulateef, Ihsan Amjad

doi:10.1109/hora49412.2020.9152862

Cited by 44 publications

(7 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…SDN is an important solution for solving issues that existed in IoT. Thus, IoT is integrated with Software Defined Network (SDN) to solve the energy efficiency of the network [3], [7]. SDN uses logically centralized software, hosted in network nodes called SDN controllers, to control the behavior of a network by reducing the network configuration and management complexity.…”

Section: Introductionmentioning

confidence: 99%

Software Defined Network for Energy Efficiency in IoT and RPL Networks

Gasouma

Yusof

Mubarakali

et al. 2023

Preprint

View full text Add to dashboard Cite

Today's most significant developing technology is the Internet of Things (IoT), and investigating it is a hot issue in information technology. The Internet Engineering Task Force (IETF) in RFC6550 defined the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), one of the IoT's core routing protocols, and it is the only standard protocol that assists the routing process in Low Power and Lossy Networks (LLNs) of IoT applications. LLNs are connecting smart devices to the Internet to monitor, control, or exchange data. These smart devices are tiny with limited battery capacity and power supply, and it is suffering from excessive energy consumption. This network issue may be addressed with innovative flexible network topology using Software-Defined networks. Our work proposes an (LBC-NDFA) algorithm for software-defined RPL networks to reduce the number of RPL control messages and increase energy efficiency using a Limit based Broadcast Control (LBC) approach that modified the Destination Oriented Directed Acyclic Graph (DODAG) Information Object (DIO) control message format and used the Non-Deterministic Finite Automata (NDFA) algorithm to determine whether a DIO message needs to be broadcasted. Using network simulator NS3, we assess the results. The results of our experiments show the viability of our proposal with decreased control overhead, and control messages, and reduced energy consumption by 40% and 60% with compared works.

show abstract

Section: Introductionmentioning

confidence: 99%

Software Defined Network for Energy Efficiency in IoT and RPL Networks

Gasouma

Yusof

Mubarakali

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…SDN is an important solution for solving energy consumption issues that existed in IoT. Thus, IoT is integrated with SDN to solve the energy efficiency of the network [3], [7]. SDN uses logically centralized software, hosted in network nodes called SDN controllers, to control the behavior of a network by reducing the network configuration and management complexity.…”

Section: Introductionmentioning

confidence: 99%

Route Optimization for Energy Efficiency in IoT and Software Defined RPL Heterogeneous Networks

Gasouma

Yusof

Bouallègue

et al. 2023

Preprint

View full text Add to dashboard Cite

The Internet of Things (IoT) technology is one of the most important emerging technologies in today's world, and it is one of the most important and hot topics in information technology research. The Internet of Things (IoT) refers to the concept of connecting smart things to monitor, control, or exchange data over the Internet. These smart things could be tiny devices, with limited battery capacity and power supplies. These devices' high energy consumption shortens their lifespan, affecting the entire IoT network. The Internet Engineering Task Force (IETF) developed the main routing protocols used in the IoT, such as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL), and standardized it in RFC6550, as one of the IoT's core routing protocols, and it is the only standard protocol that assists the routing process in Low Power and Lossy Networks (LLNs) of IoT applications. An approach that addresses the challenges of IoT networks and exploits new flexible network architectures, such as Software-Defined RPL networks, there is a considerable gap in adapting objective functions (OFs) for routing and controlling control messages for RPL operations, which enhance the energy efficiency of the IoT networks. This paper proposes a unique software-defined RPL system with optimized RPL operations for heterogeneous IoT environments to enhance energy efficiency. The proposed work performed adaptive OF selection and routing, for that purpose the proposed work formulated three categories of objective functions (OF1, OF2, OF3) namely TriOF. The optimal OF is selected based on the status of the network using the Killer Whale Optimization (KWO) algorithm. It improved the performance of adaptive OF selection and enhanced the network energy efficiency. We evaluate the outcomes through a series of simulated experiments using the Network Simulator (NS3). The proposed model approach results in a reduced number of control messages, control overhead, packet delivery ratio, and packet loss rate. Compared to the contrast works, energy consumption is reduced by 40% and 60%, respectively.

show abstract

“…More specifically, they aim to efficiently evaluate logic predicates that model alternative courses of action [8,12,13] and to effectively schedule decision making tasks [22][23][24]. The field of research on real-time decision making in IoT, however, is in an early stage and relatively little work has been done to review the area [25], even though closely related areas that form a basis for real-time decision making, such as wireless networking for IoT [6,[26][27][28][29] and sensor data analytics via machine learning [30][31][32], have been reviewed extensively.…”

Section: Introductionmentioning

confidence: 99%

A Review of Efficient Real-Time Decision Making in the Internet of Things

Kang

2022

Technologies

View full text Add to dashboard Cite

Emerging applications of IoT (the Internet of Things), such as smart transportation, health, and energy, are envisioned to greatly enhance the societal infrastructure and quality of life of individuals. In such innovative IoT applications, cost-efficient real-time decision-making is critical to facilitate, for example, effective transportation management and healthcare. In this paper, we formally define real-time decision tasks in IoT, review cutting-edge approaches that aim to efficiently schedule real-time decision tasks to meet their timing and data freshness constraints, review state-of-the-art approaches for efficient sensor data analytics in IoT, and discuss future research directions.

show abstract

A Review Software Defined Networking for Internet of Things

Cited by 44 publications

References 14 publications

Software Defined Network for Energy Efficiency in IoT and RPL Networks

Software Defined Network for Energy Efficiency in IoT and RPL Networks

Route Optimization for Energy Efficiency in IoT and Software Defined RPL Heterogeneous Networks

A Review of Efficient Real-Time Decision Making in the Internet of Things

Contact Info

Product

Resources

About