Multiple Target Localisation in Sensor Networks with Location Privacy

Abstract. It is now well known that data-fusion from multiple sensors can improve detection and localisation of targets. Traditional data fusion requires the sharing of detailed data from multiple sources. In some cases, the various sources may not be willing to share such detailed information. For instance, current military allies may be willing to share some level of information, but only if they can do so without revealing their secrets. This situation appears relevant for modern sensor networks, which may be comprised of networks from multiple participants. It has previously been shown that localisation of a single target can be performed while preserving location privacy of the sensor nodes. Here we extend this to the case of multiple targets. The novel aspect of the problem is related to the ambiguity in target labels, and how we resolve this ambiguity. Key words: Privacy-preservation, localization, ad-hoc networks

• Type: Conference
• Year: 2007
• Where: ESAS
• Authors: Matthew Roughan, Jon Arnold
• Keywords: Current Military Allies, ESAS 2007, Modern Sensor Networks, Sensor Networks, Traditional Data Fusion