An accuracy Review of Sensors used in Data Fusion process for Flying Ad Hoc Networks (FANETs) Localization

Abstract

This paper presents an accuracy review of sensors used in data fusion process for Flying Ad Hoc Networks localization. The increasing demand for flexible communications has encouraged the rapid evolution in networking between Unmanned Aerial Vehicles (UAVs) widely known as Flying Ad Hoc Networks (FANETs). Originally designed for military applications, these networks can provide a communication infrastructure in different civilian applications, especially in emergency situations where traditional help cannot take place and where rapidity of the intervention is needed. The accuracy of the positioning data is an important requirement in such networks. To achieve it, localization sensors work together in the process of Multi Sensor Data Fusion. The number of localization sensors that can be used depends on the UAV's capabilities and the effectiveness of the sensors combinations. Four localization sensors are presented and their accuracy reviewed. The preliminaries of a next work of implementation of a Multi Sensor Data Fusion process via particle filtering are also introduced in this paper, the scenario, the mobility model of the UAVs movement and the algorithm.