Networked Data Fusion with Packet Losses and Variable Delays

Abstract

Multi-senor data fusion has received significant attentions for military and nonmilitary applications in the recent years. Data fusion technique combines data from multiple sensors, and relates information to achieve improved accuracies and more specific inferences than those achieved by a single sensor alone [105, 29, 130, 129, 171]. Applications of multisensor data fusion are widespread. Military applications include: automated target recognition, guidance for autonomous vehicles, remote sensing, battlefield surveillance, and automated threat recognition systems, such as identification-friend-foe-neutral(IFFN) systems. Nonmilitary applications include monitoring of manufacturing processes, condition-based maintenance of complex machinery, robotics, and medical applications.