Distributed Big Data Analytics in the Internet of Signals

Abstract

Internet of Things (IoT) is a network of ubiquitous devices that are capable of computation and communication over the Internet. These `things' or devices continuously generate data over the internet and often communicate their data with a central server. Data circulated in this network can be either a control signal or a time dependent signal. The fusion center transforms the collective data from spatially distributed sensing nodes into useful information known as the analytic. This research paper examines the computation of linear and non-linear data analytic in a distributed IoT network. IoT sensors are required to save battery and bandwidth. Further, the constraints in the computation and communication functionalities are highlighted, and also directions towards solving gaps in the present IoT standards are enlisted.