Experimental Analysis of Energy Efficient and QoS Aware Objective Functions for RPL Algorithm in IoT Networks

Ferhat Arat, Sercan Demirci
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Abstract

The Internet of Things (IoT) refers to smart devices with limited resources that connect to the Internet and transmit data. Routing is an important process in this structure, which can be described as the general frame of wireless sensor networks (WSNs). The Routing Protocol for Low-Power and Lossy Networks (RPL) is recommended by the Internet Engineering Task Force (IETF) to provide communication in resource-constrained networks and is designed for routing in IoT. Basically, it is the Internet Protocol Version 6 (IPv6) protocol developed based on the energy consumed by devices. The algorithm has an important place in the performance of the IoT network. In this paper, the performance of the RPL under different objective functions (OFs) is examined. OFs are symbolized and defined by detailed equations. This study provides an experimental analysis of the RPL algorithm. An overview of the RPL algorithm is also included. Finally, the RPL algorithm is simulated by a custom simulator which is performing on the application layer, created using the Python programming language. The algorithm’s behaviour in terms of different OFs such as throughput maximization, energy efficiency maximization and energy consumption minimization was observed and the results were evaluated under different parameters such as packet size, number of nodes and different signal-to-noise ratio (SNR) values. Our experimental results may be useful for both researchers and practitioners working in related fields.
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物联网网络中RPL算法节能与QoS感知目标函数实验分析
物联网(IoT)是指资源有限的智能设备连接到互联网并传输数据。路由是该结构中的一个重要过程,可以将其描述为无线传感器网络(WSNs)的总框架。低功耗和有损网络路由协议(RPL)是由互联网工程任务组(IETF)推荐的,用于在资源受限的网络中提供通信,并为物联网中的路由设计。基本上,它是根据设备消耗的能量开发的互联网协议版本6 (IPv6)协议。该算法在物联网网络的性能中占有重要地位。本文研究了在不同目标函数(OFs)下RPL的性能。OFs用详细的方程来表示和定义。本文对RPL算法进行了实验分析。还包括RPL算法的概述。最后,使用Python编程语言创建的自定义模拟器对RPL算法进行模拟,该模拟器在应用层上执行。观察了该算法在吞吐量最大化、能效最大化和能耗最小化等不同OFs下的行为,并在数据包大小、节点数量和不同信噪比(SNR)值等不同参数下对结果进行了评价。我们的实验结果对相关领域的研究人员和从业人员都有一定的参考价值。
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