Aveek Purohit
ABSTRACT
The SensorFly is a novel, low-cost, miniature (29g) controlled-mobile aerial sensor networking platform. Mobility permits a network of SensorFly nodes, unlike fixed networks, to be autonomous in deployment, maintenance and adapting to the environment, as required for emergency response situations such as fire monitoring or survivor search.
We demonstrate the ability of the SensorFly system to collaboratively sense the environment (floor temperature) in a demonstration scenario. The SensorFly nodes are tasked to explore the area and transmit sensed data back to a base station. The system partitions tasks among SensorFly nodes based on their capabilities (location, sensors, energy) to achieve concurrent and faster coverage. The real-time sensor data is presented to the user on a display terminal at the base station.
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Cross Ref
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- A. Purohit, Z. Sun, F. Mokaya, and P. Zhang. SensorFly: Controlled-mobile sensing platform for indoor emergency response applications. In In Proceeding of the 10th International Conference on Information Processing in Sensor Networks (IPSN), pages 223--234, 2011.Google Scholar
- A. Purohit and P. Zhang. SensorFly: a controlled-mobile aerial sensor network. In Proceedings of the 7th ACM Conference on Embedded Networked Sensor Systems, SenSys '09, pages 327--328, New York, NY, USA, 2009. ACM. Google ScholarDigital Library
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Index Terms
- Collaborative indoor sensing with the sensorfly aerial sensor network
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Reviews
George Popescu
This short paper introduces a dynamic sensor network formed by SensorFly mobile aerial autonomous platforms, which interact and collaborate with the purpose of routing all sensed data to a base station in a coordinated manner. The SensorFly system is composed of SensorFly autonomous nodes-miniature helicopters that are optimized to maximize flight time and coverage. Despite its short length, the paper offers a concise, if brief, demonstration of a system formed with six nodes-four that are grounded and two that are tasked with exploring. The scenario becomes complex as soon as the communication between the six nodes needs to be recorded and sent to the main station. The chosen protocol establishes that neighboring nodes hear the broadcast message and aggregate the current node's sensor data with their own message. Thus, the main challenge becomes task division. The whole system must decide the action steps of each of its nodes and, moreover, enable the execution of these sub-tasks by the autonomous nodes. The key advantage of this implementation: the SensorFly system can partition tasks based on node capabilities in real time in order to achieve faster sensor data collection coverage. This paper is of interest to researchers studying multiagent systems or collaboration among systems that need to share resources and coordinate to achieve a common goal. Additionally, various research labs and industry projects can use the SensorFly system to remotely collect data and operate a number of nodes for a specific task, such as exploring the environment. This highly readable paper is easy to understand and follow. Online Computing Reviews Service
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