Paper
30 November 2004 Defense applications of disposable organic sensor networks
Dean A. R. Beale, Andrew L. Hume, Ruth N. Hodges, Vince P. Calloway, Steve D. Kimber
Author Affiliations +
Proceedings Volume 5611, Unmanned/Unattended Sensors and Sensor Networks; (2004) https://doi.org/10.1117/12.581261
Event: European Symposium on Optics and Photonics for Defence and Security, 2004, London, United Kingdom
Abstract
The nature of many current Intelligence, Surveillance, Target Acquisition and Reconnaissance (ISTAR) sensor systems requires that they are controlled at an operational or strategic level. The trend towards asymmetric/urban warfare has created the necessity for tactical commanders to be empowered with a similar ISTAR capability but over a reduced area. The variable temporal, spatial and cost constraints imposed by each scenario requires an adaptable organic sensory system to be developed to support the tactical commander. Unmanned Disposable Organic Sensor Networks (DOSNs) are promising to provide sensory solutions in many tactical situations. However in order to develop a suitable DOSN it is necessary to identify the optimum realisation to meet the tactical commanders requirements. In this paper the work conducted by QinetiQ for elements of the UK MOD is discussed. This includes: 1) A method for assessing the value of each specific realisation of a DOSN against a range of scenarios. 2) Description of models used to generate an understanding of the capability of DOSN systems. 3) Description of an experimental DOSN system with associated trial results and plans to validate the models discussed above. The technical approach employed could also be used to assess the applicability of DOSN systems across a range of other military ISTAR requirements.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dean A. R. Beale, Andrew L. Hume, Ruth N. Hodges, Vince P. Calloway, and Steve D. Kimber "Defense applications of disposable organic sensor networks", Proc. SPIE 5611, Unmanned/Unattended Sensors and Sensor Networks, (30 November 2004); https://doi.org/10.1117/12.581261
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Sensors

Acoustics

Instrument modeling

Sensor networks

Performance modeling

Systems modeling

Weapons

Back to Top