物联网网络中改进RPL使用的自适应涓流算法的设计与实现

Q3 Chemistry
J. Kumar, D. Suresh
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引用次数: 0

摘要

对于具有开销和延迟的数据传输来说,高效的消息路由在低功耗和有损网络(loT)方面是极具挑战性的。用于路由的协议需要被设计为使得它们应该有效地工作。根据能量和数据包传递计算的效率。RPL协议也是为了使这两个参数有效而设计的。即便如此,它也有缺点。Trickle算法的设计目的是减少RPL中的缺点。Trickle算法用于RPL协议中,用于在网络中具有不同间隔的节点之间创建路由。不幸的是,涓滴算法还存在一些缺点,这使得设计了几种算法来分析不同的缺点。本文在分析不同类型的涓滴算法并找出每种算法的缺点的基础上,设计了一种新的算法,有助于减少发现的缺点。本文还讨论了该算法的描述以及使用Cooja 3.0模拟器进行的仿真结果。新设计的算法的仿真是通过假设一个具有不同节点数的网络并将结果与先前引入的Trickle算法进行比较来完成的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of an Adaptable Trickle Algorithm for Amelioration of RPL Usage in Internet of Things Networks
The efficient message routing is highly challenging in terms of low power and lossy networks (loT) for transmission of data with overhead and delay. The protocols used for routing need to be designed such that they should be working efficiently. Efficiency in calculated in terms of energy and delivery of packets. RPL protocol is also designed with the aim of making these two parameters efficient. Even then it contains drawbacks. Trickle algorithm is designed with a goal to reduce the drawbacks in RPL. Trickle algorithm is used in RPL protocols for creation of routes between nodes in the network with different intervals. Unfortunately, there exists some more downsides for the trickle algorithm, which made design of several algorithms inorder to analyse different drawbacks. In this paper, on analysing different types of trickle algorithms and locating the drawback in every algorithm, a novel algorithm is designed which helps in reduction of the drawbacks that are found. The description of this algorithm along with the simulation results done using Cooja 3.0 simulator is also discussed in this paper. The Simulation of the algorithm that is newly designed is done by assuming a network with different count of nodes and comparing the results with the previously introduced Trickle algorithms.
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来源期刊
Journal of Computational and Theoretical Nanoscience
Journal of Computational and Theoretical Nanoscience 工程技术-材料科学:综合
自引率
0.00%
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0
审稿时长
3.9 months
期刊介绍: Information not localized
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