基于加权和度量的物联网负载平衡RPL目标函数

Q2 Computer Science
Poorana Senthilkumar Subramani, Subramani Bojan
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引用次数: 0

摘要

物联网(IoT)应用的技术发展正在兴起,并在自动化工业,农业,环境和科学界引起了现实世界的关注。在大多数情况下,由于节点的约束,延长物联网网络的网络生命周期极具挑战性。无线传感器网络(WSN)是物联网应用的核心组件。此外,WSN节点还需要用于网络处理,特别是路由、能量维护、负载均衡、拥塞控制、分组分发、快速响应等。以上任何一个网络进程的故障都会影响整个网络的运行。IPv6 RPL (Routing Protocol for Low-power and Lossy network)为物联网应用需求提供了高路由解决方案。在RPL中,负载平衡、拥塞控制、流量负载和瓶颈问题仍然是有待解决的问题。为了解决负载平衡问题,我们提出了一种加权和方法目标函数(WSM-OF),它提供了根据RPL指标选择路由中的备选父节点的能力。WSM-OF采用拥塞控制和负载均衡来避免大流量,延长网络节点的生存时间。通过COOJA模拟器实现并分析了控制开销、抖动、数据包传送比、父交换、能耗、延迟和网络生命周期等网络参数。结果表明,WSM-OF提高了网络性能,显著提高了网络寿命,最高可达7.8%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weighted Sum Metrics – Based Load Balancing RPL Objective Function for IoT
The technological development of Internet of Things (IoT) applications is emerging and attracting the attention of the real world in the automated industry, agriculture, environment, and scientific community. In most scenarios, extending the network lifetime of an IoT network is highly challenging because of constrained nodes. The wireless sensor network (WSN) is the core component of IoT applications. In addition, the WSN nodes are required for the network processes, particularly routing, energy maintenance, load balance, congestion control, packet delivery, quick response, and more. The failure of any of the above network processes will affect the entire network operation. IPv6 Routing Protocol for Low-power and Lossy network (RPL) provides high routing solutions to IoT applications requirements. The load balance, congestion control, traffic load, and bottleneck problems are still open issues in the RPL. To resolve the load balance issue, we propose a weighted sum method objective function (WSM-OF), which provides the ability to select the alternative parent in routing by RPL metrics. WSM-OF adopts congestion control and load balancing to avoid heavy traffic and extend the network's node lifetime. The network parameters of control overhead, jitter, packet delivery ratio, parent switching, energy consumption, latency, and network lifetime are implemented and analyzed through the COOJA simulator. The result shows that the WSM-OF improves the network performance and significantly enhances the network lifetime by up to 7.8%.
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来源期刊
Annals of Emerging Technologies in Computing
Annals of Emerging Technologies in Computing Computer Science-Computer Science (all)
CiteScore
3.50
自引率
0.00%
发文量
26
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