A Hierarchical Approach for Accelerating IoT Data Management Process Based on SDN Principles

Abstract

Internet of things is a new technology that connects billions of smart devices through the Internet. This important technology is heavily affecting different aspects of human life and plays an important role in variety of domains. The number of smart devices connecting to IoT and the amount of data gathered or produced by these devices are increasing. This large volume of data requires a lot of effort for processing and analysis. In order to organize, secure and balance the load in IoT, the novel and creative ideas for IoT design and management are required. Software Defined Networking is a new and promising paradigm and its main idea is to decouple the control and management operations from physical devices and setting them inside a logically centralized control layer. Due to its unique capabilities, SDN can be a good choice for managing dynamic and complicated networks such as IoT. In this paper, a distributed approach is proposed for accelerating data management and balancing the load between IoT devices. The proposed framework makes it possible to apply different kinds of management, security and load balancing strategies using a distributed control plane. Experimental results indicate that our scheme exhibits a reduction in the average turnaround time and the average waiting time and it will improve the processing performance. The proposed approach will also distribute tasks between devices, so that there will be no under-loaded device when a part of network is under the processing pressure.

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

“…A hierarchical SDN-based approach [23] is proposed to accelerate data management and balance load not only between IoT devices in a single domain but also between different network clusters. The proposed framework prevents the controller from transforming into a single point of failure 2 allowing the application of different kinds of management and load balancing strategies in a hierarchical and multistep scenario.…”

Recent advances in energy management for Green-IoT: An up-to-date and comprehensive survey

“…Energy Saving In 5G-IoT [92], [93], [94], [95], [96] Energy Efficient Cognitive Radio IoT [97], [98], [99], [100], [101] Energy efficient network softwarization [102], [103], [104], [105], [106], [107], [108] Energy Saving In Social IoT [109], [110], [111], [112], [113], [114], [115] AI-based solutions Machine learning [87], [116], [117], [118], [119], [120], [121], [122],…”

Complementing IoT Services Using Software-Defined Information Centric Networks: A Comprehensive Survey

“…However, centralized management of SDN poses significant challenges to the implementation of SDIC-IoT. Therefore, network management requirements ask for efficient management of SDIC-IoT using efficient strategies that have been tested on large scale networks [63], [64]. Such as the strategy mentioned in [63] prevents the controller from becoming a single point of failure using different management and load balancing strategies.…”

“…Therefore, network management requirements ask for efficient management of SDIC-IoT using efficient strategies that have been tested on large scale networks [63], [64]. Such as the strategy mentioned in [63] prevents the controller from becoming a single point of failure using different management and load balancing strategies. The authors in [64] proposed a framework for topology and device management to fulfil application-specific requirements of IoT.…”