物联网网络中ETXPC-RPL路由算法性能评价

Zibuyisile Magubane, Paul Tarwireyi, A. Abu-Mahfouz, M. Adigun
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引用次数: 2

摘要

如今,物理对象有能力连接到互联网,通过物联网(IoT)处理、分析数据到现实世界。这些物理对象具有有限的处理空间、存储、内存和带宽。在物联网设备中,路由成为整个数据传输过程中的重要因素。网络层低功耗和有损网络路由协议(RPL)提供物联网设备之间的通信和信息交换性能。RPL协议主要是为了在低动态流量的网络中有效地进行数据传输而设计的。然后,在网络流量大、动态流量大的场景下,由于负载分布不均衡,会出现网络拥塞问题。为了提高网络的可靠性,已有几种RPL负载均衡路由算法。期望传输计数和父计数(ETXPC)目标函数是在突发流量网络场景中被评估的负载平衡目标函数之一。然而,本研究评估了ETXPC目标函数在RPL通用物联网网络中不同网络密度下的性能。在本研究中,我们应用父计数(PC)、预期传输计数(ETX)和缓冲占用(BO)路由指标来指导数据包。用于评估的性能指标包括能耗、交付的数据包比率、控制开销和端到端延迟。在大流量网络中,ETXPC提供了不可靠的链路,减少了数据包的成功传递,增加了控制开销。该算法平衡了负载分布,从而降低了一般物联网网络中的网络延迟和能耗。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation of ETXPC-RPL Routing Algorithm in IoT Network
Nowadays physical objects have an ability to connect to the internet, process, analyze the data to the real world through the Internet of Things (IoT). These physical objects have a limited processing space, storage, memory, and bandwidth. Routing becomes a significant factor throughout the data transmission process in IoT devices. The network layer Routing Protocol for Low power and Lossy Networks (RPL) provides communication and the performance of information exchange among the IoT devices. The RPL protocol was mainly designed to perform data transmission effectively in the network with low dynamic traffic. Then, in large network traffic, heavy dynamic traffic scenarios it encounters network congestion problems due to load imbalance distribution. Several RPL load balancing routing algorithms have existed intended to improve network reliability. The Expected Transmission Count and Parent count (ETXPC) objective function is one of the load balancing objective functions that have been evaluated in a burst traffic network scenario. However, this study evaluates the performance of ETXPC objective function in the RPL general IoT network with regards to different network densities. For this study, we applied the parent count (PC), expected transmission count (ETX), and Buffer Occupancy (BO) routing metrics to guide the data packets. The performance metrics considered for evaluation were energy consumption, the ratio of packets delivered, control overhead, and end-to-end delay. In large traffic network ETXPC provides unreliable links that decrease packet delivered successfully and increases control overhead. The algorithm balances the load distribution such a way that it reduces the network delay and energy consumption in the general IoT network.
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