Assessment of multi-UAVs tracking for data gathering

The market of drones is expected to grow significantly by the near few years, while military, civil and commercial applications continue to emerge. In an earlier study we focused on the path planning problem for a swarm of UAVs for data gathering mission with the objective to minimize the travel duration with respect to the energy autonomy, a better fairness regarding tours and finally avoiding collisions among the drones of the same swarm. In this paper, we address the tracking and the data gathering issue and thus we evaluate both the received tracking and gathering packets rate under different conditions of speed and interference.

[1]  Ryan R. Jensen,et al.  Small-Scale Unmanned Aerial Vehicles in Environmental Remote Sensing: Challenges and Opportunities , 2011 .

[2]  Sarit Kraus,et al.  A Study of Scalability Properties in Robotic Teams , 2006 .

[3]  G. F. Tomlins.  Some Considerations in the Design of Low Cost Remotely-Piloted Aircraft for Civil Remote Sensing Applications , 1983 .

[4]  Rajesh K. Gupta,et al.  Improving the Data Delivery Latency in Sensor Networks with Controlled Mobility , 2008, DCOSS.

[5]  Hongke Zhang,et al.  Efficient Data Collection in Wireless Sensor Networks with Path-Constrained Mobile Sinks , 2011, IEEE Trans. Mob. Comput..

[6]  Xiaoyan Ma,et al.  Fairness-aware UAV-assisted data collection in mobile wireless sensor networks , 2016, 2016 International Wireless Communications and Mobile Computing Conference (IWCMC).

[7]  Steven C. Chapra,et al.  Remote Sensing of Submerged Aquatic Vegetation in a Shallow Non-Turbid River Using an Unmanned Aerial Vehicle , 2014, Remote. Sens..

[8]  Dario Floreano,et al.  Energy-Time Efficiency in Aerial Swarm Deployment , 2010, DARS.

[9]  Abdul Hanan Abdullah,et al.  A Comprehensive Study of Data Collection Schemes Using Mobile Sinks in Wireless Sensor Networks , 2014, Sensors.

[10]  Sajal K. Das,et al.  Efficient Aerial Data Collection with UAV in Large-Scale Wireless Sensor Networks , 2015, Int. J. Distributed Sens. Networks.

[11]  Lian Pin Koh,et al.  Small Drones for Community-Based Forest Monitoring: An Assessment of Their Feasibility and Potential in Tropical Areas , 2014 .