Scalable and ligthway bio-inspired coordination protocol for FANET in precision agriculture applications

Abstract The paper proposes a bio-inspired coordination protocol for Unmanned Aerial Vehicles (UAVs) management in the agriculture domain. In precision agriculture the presence of parasites or the sudden climatic changes represent an important issue for farmers because of the degradation of crops and cultivation quality. Then, the use of the new technologies such as UAVs devices, the new networks such as Flying Ad-Hoc NETwork (FANET), and the utilization of new sensors and actuators inside UAVs can represent an important aid to the smart agriculture domain. An important aspect is, surely, the adequate management and coordination of these new devices in order to plan specific strategies able to support adequately the agriculture humans’ operators. Because drones are resource constrained and limited, scalable coordination techniques such those proposed can improve the network performance maintaining higher efficacy in the task execution.

[1]  Um Rao Mogili,et al.  Review on Application of Drone Systems in Precision Agriculture , 2018 .

[2]  Bin Chen,et al.  A precision agriculture management system based on Internet of Things and WebGIS , 2013, 2013 21st International Conference on Geoinformatics.

[3]  Wei Guo,et al.  High-Throughput Phenotyping of Sorghum Plant Height Using an Unmanned Aerial Vehicle and Its Application to Genomic Prediction Modeling , 2017, Front. Plant Sci..

[4]  Y. A. Pederi,et al.  Unmanned Aerial Vehicles and new technological methods of monitoring and crop protection in precision agriculture , 2015, 2015 IEEE International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD).

[5]  Floriano De Rango,et al.  Energy saving and load balancing in wireless ad hoc networks through ant-based routing , 2009, 2009 International Symposium on Performance Evaluation of Computer & Telecommunication Systems.

[6]  W. Raun,et al.  In-Season Prediction of Corn Grain Yield Potential Using Normalized Difference Vegetation Index , 2006 .

[7]  Sebastian G. Elbaum,et al.  On crop height estimation with UAVs , 2014, 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems.

[8]  Alessandro Matese,et al.  A flexible unmanned aerial vehicle for precision agriculture , 2012, Precision Agriculture.

[9]  Fernando Santos Osório,et al.  The use of unmanned aerial vehicles and wireless sensor network in agricultural applications , 2012, 2012 IEEE International Geoscience and Remote Sensing Symposium.

[10]  Hao Yang,et al.  Unmanned Aerial Vehicle Remote Sensing for Field-Based Crop Phenotyping: Current Status and Perspectives , 2017, Front. Plant Sci..

[11]  Laurie G. Cuthbert,et al.  Energy-Efficient UAV Communication with Multiple GTs Based on Trajectory Optimization , 2018, Mob. Inf. Syst..

[12]  I. Colomina,et al.  Unmanned aerial systems for photogrammetry and remote sensing: A review , 2014 .

[13]  Chunhua Zhang,et al.  The application of small unmanned aerial systems for precision agriculture: a review , 2012, Precision Agriculture.

[14]  Juan-Carlos Cano,et al.  Flying ad-hoc network application scenarios and mobility models , 2017, Int. J. Distributed Sens. Networks.

[15]  Simin Nadjm-Tehrani,et al.  Mobility Models for UAV Group Reconnaissance Applications , 2006, 2006 International Conference on Wireless and Mobile Communications (ICWMC'06).

[16]  Mauricio Cunha Escarpinati,et al.  Definition of Management Zones Through Image Processing for Precision Agriculture , 2017 .

[17]  Ouns Bouachir,et al.  A mobility model for UAV ad hoc network , 2014, 2014 International Conference on Unmanned Aircraft Systems (ICUAS).

[18]  Austin M. Jensen,et al.  Topsoil moisture estimation for precision agriculture using unmmaned aerial vehicle multispectral imagery , 2014, 2014 IEEE Geoscience and Remote Sensing Symposium.

[19]  Rui Zhang,et al.  Energy-Efficient UAV Communication With Trajectory Optimization , 2016, IEEE Transactions on Wireless Communications.

[20]  Nunzia Palmieri,et al.  A simulator for UAVs management in agriculture domain , 2017, 2017 International Symposium on Performance Evaluation of Computer and Telecommunication Systems (SPECTS).

[21]  Giorgio C. Buttazzo,et al.  Coverage Path Planning for UAVs Photogrammetry with Energy and Resolution Constraints , 2016, J. Intell. Robotic Syst..