Event localization based on direction of arrival using quasi random deployment in internet of things

Abstract

. In Internet of Things environment, a wide range of applications co-exist and demand data from different devices. These devices perform the sense-and-communicate operations in the network. Two of the most critical aspects of such an environment is to handle the deployment of these devices and process the events that occur continuously. An effective deployment of devices is essential for optimizing the different quality of services in the network. Moreover, the events may occur anywhere, at anytime and may affect the usual operation of the applications. To respond to the generation, distribution and processing of these events in real time, there is a need to know their locations at all times. Also, these events are characterized by the anomaly in signals received, which varies in time and space. This poses a challenge in location estimation, especially with the exchange of a large amount of signals in such a scenario. In this context, this paper proposes an event localization algorithm using parametric estimation based direction of arrival technique. The proposed work focuses on estimating the location of events and evaluating its efficacy using quasi random deployment of devices in IoT scenario.