FANET Application Scenarios and Mobility Models

FANETs are a promising solution for application scenarios involving UAVs. There are many mobility models that can be used to reproduce the behavior of the mobile nodes in an ad-hoc network, but some of these cannot simulate the realistic motion of UAVs. In this paper we list the available mobility models and try to understand which ones should be adopted for different FANET application scenarios, discussing their pros and cons.

[1]  Sergio L. Toral Marín,et al.  A Self Organising Aerial Ad Hoc Network Mobility Model for Disaster Scenarios , 2015, 2015 International Conference on Developments of E-Systems Engineering (DeSE).

[2]  Yongcan Cao,et al.  Band-reconfigurable Multi-UAV-based Cooperative Remote Sensing for Real-time Water Management and Distributed Irrigation Control , 2008 .

[3]  Vaskar Raychoudhury,et al.  A survey of routing and data dissemination in Delay Tolerant Networks , 2016, J. Netw. Comput. Appl..

[4]  Tariq Samad,et al.  Network-Centric Systems for Military Operations in Urban Terrain: The Role of UAVs , 2007, Proceedings of the IEEE.

[5]  Bernhard Rinner,et al.  An Autonomous Multi-UAV System for Search and Rescue , 2015, DroNet@MobiSys.

[6]  Pietro Manzoni,et al.  ANEJOS: a Java based simulator for ad hoc networks , 2001, Future Gener. Comput. Syst..

[7]  Lorenzo Donatiello,et al.  Ad hoc networks: a protocol for supporting QoS applications , 2003, Proceedings International Parallel and Distributed Processing Symposium.

[8]  Viswanath Tolety,et al.  Load Reduction in Ad Hoc Networks Using Mobile Servers , 1999 .

[9]  Juan-Carlos Cano,et al.  Mobile Pollution Data Sensing Using UAVs , 2015, MoMM.

[10]  F. López-Granados,et al.  Configuration and Specifications of an Unmanned Aerial Vehicle (UAV) for Early Site Specific Weed Management , 2013, PloS one.

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

[12]  R. Reshma,et al.  Security situational aware intelligent road traffic monitoring using UAVs , 2016, 2016 International Conference on VLSI Systems, Architectures, Technology and Applications (VLSI-SATA).

[13]  Xiaoyan Hong,et al.  A group mobility model for ad hoc wireless networks , 1999, MSWiM '99.

[14]  Mario Gerla,et al.  Deployment and Evaluation of a Wireless Mesh Network , 2009, 2009 Second International Conference on Advances in Mesh Networks.

[15]  Maria Fazio,et al.  Automatic IP address configuration in VANETs , 2006, VANET '06.

[16]  David A. Maltz,et al.  Dynamic Source Routing in Ad Hoc Wireless Networks , 1994, Mobidata.

[17]  Ilker Bekmezci,et al.  Flying Ad-Hoc Networks (FANETs): A survey , 2013, Ad Hoc Networks.

[18]  Marco Roccetti,et al.  An overview of opportunistic ad hoc communication in urban scenarios , 2014, 2014 13th Annual Mediterranean Ad Hoc Networking Workshop (MED-HOC-NET).

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

[20]  Gian Paolo Rossi,et al.  A solution for mobile DTN in a real urban scenario , 2012, 2012 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[21]  Louise E. Moser,et al.  An analysis of the optimum node density for ad hoc mobile networks , 2001, ICC 2001. IEEE International Conference on Communications. Conference Record (Cat. No.01CH37240).

[22]  Yuan Dong,et al.  A Hybrid PSO Algorithm Based Flight Path Optimization for Multiple Agricultural UAVs , 2016, 2016 IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI).

[23]  Zygmunt J. Haas,et al.  A new routing protocol for the reconfigurable wireless networks , 1997, Proceedings of ICUPC 97 - 6th International Conference on Universal Personal Communications.

[24]  Ahmed Helmy,et al.  The IMPORTANT framework for analyzing the Impact of Mobility on Performance Of RouTing protocols for Adhoc NeTworks , 2003, Ad Hoc Networks.

[25]  Yi Zhou,et al.  A Smooth-Turn Mobility Model for Airborne Networks , 2013, IEEE Trans. Veh. Technol..

[26]  Dengfeng Sun,et al.  Wireless sensor network data collection by connected cooperative UAVs , 2013, 2013 American Control Conference.

[27]  Wei Wang,et al.  A novel mobility model based on semi-random circular movement in mobile ad hoc networks , 2010, Inf. Sci..