Research on Massive multi-dimensional Sensor Layout Strategy used for edge computing in distribution of Internet of Things

Abstract

There are a large number of multi-dimensional different types sensors in DIoT (Distribution Internet of Things). Based on edge computing function of smart power DIoT terminals, local access and logical operations are realized. Data aggregation will reduce network traffic overhead and improve the real-time performance of edge computing. This paper proposes an asynchronous distributed aggregation layout construction algorithm based on hierarchical clustering. In this algorithm, all nodes are first aggregated according to the distance to construct a collection tree according to hierarchical clustering. And then the optimal number of groups is calculated according to the number of groups. Then the best aggregation node is selected according to the asynchronous distributed strategy. Simulation experiments show that the algorithm can quickly find a data aggregation method with minimal overhead, and improve the perception of power DIoT and edge computing efficiency.