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

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.