Abstract

The vision of the Internet of Things (IoT) is that it connects all kinds of things by leveraging the creation of increasingly affordable and small devices that can be embedded for sensing, processing, wireless communication, and actuation. Named data networking (NDN) is a newly emerging Internet paradigm that may replace the current Internet architecture and that fulfills most of the expectations of the IoT. Software-defined networking (SDN) is an emerging paradigm of technology that is highly capable of managing overall networks efficiently and transforming complex network architectures into manageable, simple ones. The combination of the SDN controller, NDN, and IoT can be lethal in the overall performance of the network. Broadcast storms, due to the flooding nature of NDN’s wireless channel, are a serious issue when it comes to forwarding interest and data packets. Energy consumption of sensor nodes in dense IoT scenarios causes problems in forwarding as well as unnecessary delays, decreases network performance, and increases the cost and packet delay for important packets. We took these problems as our baseline and proposed an energy-efficient, priority-based forwarding (EPF) in SDN-enabled NDN–IoT. Our scheme EPF used the efficient flow management of the SDN controller to control the broadcast storm and efficiently forward the priority-based packets. A defer timer mechanism was used to prioritized the packet upon its arrival to the node. An energy threshold mechanism was used to control energy consumption and improve overall energy efficiency. We compared our scheme with the traditional flooding mechanism and geographic interest forwarding; EPF outclassed the other schemes and produced the best results in terms of total number of interests and retransmissions, content retrieval time, total number of priority interests, energy consumption, and network lifetime.

Highlights

  • Internet of Things (IoT) technology is evolving and starting to make a huge impact in a widespread range of applications, including industrial environments and smart cities

  • We compare our work in EPF with Geographic Interest Forwarding (GIF) and traditional flooding in Named data networking (NDN) and evaluate the performance of our scheme

  • In GIF, the support for Push based traffic is provided for NDN-IoT environment

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Summary

Introduction

Internet of Things (IoT) technology is evolving and starting to make a huge impact in a widespread range of applications, including industrial environments and smart cities. IoT devices are resource constrained ones that use little power and energy, but they do not provide reliable communication in the wireless environment, so the optimization techniques for reliable data delivery must be there in NDN. There is no strategy to prevent the energy consumption with the use of controller in related work They did not handle the priority and emergency packets efficiently in WSNs and IoTs. In References [15,16,17], proposed forwarding mechanisms to mitigate the broadcast storm issue but lack of work to find efficient forwarding path and more overhead on the controller. In this paper an efficient forwarding mechanism in NDN based IoTs is proposed using the centralized controller of SDN.

Named Data Networking
Named Data Networking Architecture
Named Data Networking Communication Model
NDN–IoT Architecture
Motivations of Integrating SDN and Inofrmation Centric Networking
Related Work
Problem Statements
Node Side Architecture
Controller Side Architecture
Packet Formats
Topology Discovery and Content Placement
EPF Forwarding Model
Simulations and Results
Simulation Model
Performance Metrics
Threshold Selection
Simulation Results
Conclusions
Full Text
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