A FNV Based IPv6 Address Autoconfiguration Scheme for Power IoT Sensory Device

2022 2nd International Conference on Networking Systems of AI (INSAI) Pub Date : 2022-10-01 DOI:10.1109/INSAI56792.2022.00048

Weiqing Yao, Chengxuan Jiang, Xian Luo, Zhiwei Bao

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Abstract

The construction of a new power system based on new energy has recently attracted a lot of attention, posing both a significant obstacle and an incredible potential for the advancement of the conventional power grid. Internet of Things (IoT) plays a crucial role in developing smart grid for its enormous benefit in supplying massive data and enabling connectivity for communication among various different types of power equipment. The sensing layer is of huge importance in the multi-layer structure of power IoT, offering data support for the estimation of power consumption, dynamic power allocation and a variety of other services. However, the design of IPv6 address autoconfiguration scheme in the sensing layer is challenging given the large number of sensory devices and the dynamic paradigm for interconnection. In this paper, a novel IPv6 address autoconfiguration scheme for power IoT sensory device is proposed to cope with the aforementioned problem. Utilizing Fowler-Noll-Vo (FNV) hash algorithm, this proposed approach can achieve a relatively low duplicated address rate in a densely concentrated distribution scenario. The feasibility and efficiency of the suggested configuration scheme are evaluated by the simulation results.

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基于FNV的电力物联网传感设备IPv6地址自动配置方案

近年来，基于新能源的新型电力系统的建设备受关注，这对传统电网的发展既构成了重大障碍，又具有不可思议的潜力。物联网(IoT)在发展智能电网中发挥着至关重要的作用，因为它在提供海量数据和实现各种不同类型的电力设备之间的通信连接方面具有巨大的优势。传感层在电力物联网的多层结构中非常重要，为功耗估计、动态功率分配等多种业务提供数据支持。然而，考虑到大量的传感设备和动态互连模式，IPv6地址自动配置方案在传感层的设计是具有挑战性的。针对上述问题，本文提出了一种新的电力物联网传感设备IPv6地址自动配置方案。利用Fowler-Noll-Vo (FNV)哈希算法，该方法可以在密集分布场景下实现相对较低的重复地址率。仿真结果验证了所提配置方案的可行性和有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 2nd International Conference on Networking Systems of AI (INSAI)

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