Wireless Sensor Systems in Indoor Situation Modeling
- Keywords: wireless sensor network, indoor situation modeling, data fusion, data analysis, real-time systems
- Duration: 2008-2010
- Research area: Wireless Automation
- Related projects: WiSA, ISMO, GENSEN
- In cooperations with: University of Vaasa, VTT, Finnish Ministry of the Interior, Police Department, The Finnish Defence Forces, VTI Technologies Oy, Savox Communications Oy, Sensinode Oy
In modern rescue, police, military and intelligence operations, a real-time situation model is needed for the operation planning and operation command. An accurate and continuously real-time updating situation model enables effective pre-strike surveillance/reconnaissance to plan a successful operation, and with a reasonable amount of reliable information it can also be planned in such a way that many human injuries and human deaths can be avoided during the action.
The creation of the situation model becomes especially challenging in indoor environment, where many observation tools typically used in the outdoor environment - such as GPS positioning - are not feasible. There are several requirements set to such a generic system which could be used by rescue workers and police as well as by military and intelligence. Since one must act rapidly in the crisis or a catastrophe situation, the system must be rapidly deployable. The system must tolerate harsh conditions, like heat in the case of fire or poisonous chemicals in the case of chemical leak. The individual devices must be small to make the system able to operate in small spaces like ruins after a building collapse or to make the system as unnoticeable as possible. The overall costs of the system should be reasonable compared to the system efficiency. All these requirements are best met by using small wireless sensing platforms equipped with miniaturized sensors. These sensing platforms, usually called sensor nodes (or motes) can be scattered to the building interior. Part of them can be mobile, and some of them can also be integrated to the clothes and devices carried by rescue, police or military forces.
The proposed system consists of wearable and portable sensor systems, deployable wireless sensor nodes and mobile sensor nodes (actuated sensor nodes). The wearable sensors are utilized for blueforce tracking. Deployable sensors are small simple sensor nodes that will be deployed to the building as a part of the pre-strike surveillance/reconnaissance. They can be shot in by using carrier grenades or scattered in by using, for example, the air conditioning system. Sensor nodes can also be deployed by mobile nodes roaming to the building or they can simply be thrown in if the situation allows that. During the storm the storming forces can also deploy sensor nodes as they move inside the building. The mobile nodes can act autonomously and perform simultaneous moving and mapping.
In addition to technical feasibility, the system usability from the end user’s point of view must be on the same level as it is in typical consumer electronics such as mobile phones. This requires efficient data fusion, 3D-visualization, and an overall usability planning
Contact persons at the Department of Automation and Systems Technology
- Heikki Koivo (person in charge, Aalto Univ. / AS)
- Lasse Eriksson (project manager)
Publications (AS dept. only)
- Maurizio Bocca,
Application-driven data processing in wireless sensor networks,
Helsinki, Finland: Aalto University, 2011. (Aalto University publication series, DOCTORAL DISSERTATIONS, 93/2011).
- Ossi Kaltiokallio, Maurizio Bocca and Lasse M Eriksson,
"Distributed RSSI processing for intrusion detection in indoor environments,"
in 2010 International Conference on Information Processing in Sensor Networks, Stockholm, Sweden: IEEE, 2010, pp. 404-405.
- Maurizio Bocca and Heikki N Koivo,
"Real-time text and language independent speaker identification with a reconfigurable wireless network of acoustic sensors,"
in 2008 IEEE International Conference on Technologies for Homeland Security, Boston, USA: IEEE, 2008, pp. 432-437.
- Maurizio Bocca, Reino Virrankoski and Heikki N Koivo,
"Text and language independent speaker identification by using short-time low quality signals,"
in WoWCA 2008 - Workshop on Wireless Communication and Applications, Vaasa, Finland: University of Vaasa, Department of Computer Science, 2008, 6 pp.