A Mobile Phone-Based Sensor Grid for Distributed Team Operations / Proceedings of the National Symposium on Sensor and Data Fusion, July 2010
Young, Peter J.
Anderson, Thomas S.
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In distributed warfare, typically small teams of warfighters operate in remote and austere environments on their own with limited support from outside. In such situations, each team has to take care of its own safety and security. For operations that last over several days, even the most highly trained teams are vulnerable to fatigue, leading to a loss of focus during long periods of boring activities such as night watch. This can lead to mission failure and loss of life. We are developing a mobile-phone based system to help with the team’s safety by providing real-time situational awareness to the team in its vicinity. We are building a sensor grid around the team by networking several mobile phones using Bluetooth and using their built-in components such as accelerometers to capture seismic signals and microphone to capture sound in the area. When the grid is entered by a human, animal or machine, the individual phones capture signals generated by the intruders’ movements. These signals are then compiled and analyzed to calculate the position of the intruder and alert the team about its presence. We propose a system that can be configured in a variety of ways to implement auditory and silent alarms depending on needs. We are also developing specialized signal filtering and processing techniques to improve accuracy. Our goal is to maximize the effectiveness of each sensor so that the overall system performance can be improved. We show several possibilities for uses at the fire-team (4 members) and platoon level (42 members) that are based on defensive and offensive scenarios including added reach for distant listening posts. In implementing this system, goals were not adding significant weight to warfighter’s gear, running the system on lowest power possible, and easing installation and use"
This paper appeared in the Proceedings of the National Symposium on Sensor and Data Fusion, Las Vegas, Nevada, U.S., July 2010.
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