Localized Fault Tolerant Algorithm Based on Node Movement Freedom Degree in Flying Ad Hoc Networks

Flying ad hoc network (FANET) is a communication network for data transmission among Unmanned Aerial Vehicles (UAVs). In ad hoc network, the UAVs movement is usually applied to improve network fault-tolerance, but it easily causes the disconnection of communication links, and the success rate is low. In this paper, we propose a local fault-tolerant control algorithm based on node movement freedom degree (LFTMF). Under the constraint of node movement freedom degree, the algorithm transforms the single-connected network into bi-connected network through the autonomous movement of UAVs to improve the fault-tolerant ability of the FANET network. Firstly, the consistency between k-hop cut-points and global cut-points in FANET network is analyzed. Then, based on the k-hop local topology of FANET network, the UAV node movement freedom degree model is established. Finally, according to the location distribution of k-hop cut-points in the FANET network, the bi-connected fault-tolerant network is realized by UAVs cascade movement. Compared with the existing algorithms, simulation results show that the proposed algorithm achieves better performance in success rate, deviation distance, cascade movement ratio and adjustment period.

[1]  Kun Yang,et al.  A Random Road Network Model and Its Effects on Topological Characteristics of Mobile Delay-Tolerant Networks , 2014, IEEE Transactions on Mobile Computing.

[2]  Kyung Sup Kwak,et al.  Opportunistic relaying for low-altitude UAV swarm secure communications with multiple eavesdroppers , 2018, Journal of Communications and Networks.

[3]  Wu Bing Fault tolerant relay node placement in UAVs Ad hoc networks , 2012 .

[4]  Baoqing Li,et al.  A Joint Unsupervised Learning and Genetic Algorithm Approach for Topology Control in Energy-Efficient Ultra-Dense Wireless Sensor Networks , 2018, IEEE Communications Letters.

[5]  Samir Khuller,et al.  Relay placement for fault tolerance in wireless networks in higher dimensions , 2011, Comput. Geom..

[6]  Li Zhou,et al.  Localized Fault Tolerant and Connectivity Restoration Algorithms in Mobile Wireless Ad Hoc Network , 2018, IEEE Access.

[7]  Mahabaleshwar S. Kakkasageri,et al.  Dynamic topology control in multiple clustered vehicular ad hoc networks , 2016, 2016 International Conference on Signal Processing, Communication, Power and Embedded System (SCOPES).

[8]  Hai Liu,et al.  Simple movement control algorithm for bi-connectivity in robotic sensor networks , 2010, IEEE Journal on Selected Areas in Communications.

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

[10]  Yan Shi,et al.  Constructing a Robust Topology for Reliable Communications in Multi-Channel Cognitive Radio Ad Hoc Networks , 2018, IEEE Communications Magazine.

[11]  Prithwish Basu,et al.  Movement control algorithms for realization of fault-tolerant ad hoc robot networks , 2004, IEEE Network.

[12]  Walid Saad,et al.  Unmanned Aerial Vehicle With Underlaid Device-to-Device Communications: Performance and Tradeoffs , 2015, IEEE Transactions on Wireless Communications.

[13]  Halim Yanikomeroglu,et al.  Strategic Densification With UAV-BSs in Cellular Networks , 2018, IEEE Wireless Communications Letters.

[14]  Lav Gupta,et al.  Survey of Important Issues in UAV Communication Networks , 2016, IEEE Communications Surveys & Tutorials.

[15]  Xuxun Liu,et al.  Survivability-Aware Connectivity Restoration for Partitioned Wireless Sensor Networks , 2017, IEEE Communications Letters.

[16]  Ram Ramanathan,et al.  Topology control of multihop wireless networks using transmit power adjustment , 2000, Proceedings IEEE INFOCOM 2000. Conference on Computer Communications. Nineteenth Annual Joint Conference of the IEEE Computer and Communications Societies (Cat. No.00CH37064).

[17]  Kevin R. Fall,et al.  A delay-tolerant network architecture for challenged internets , 2003, SIGCOMM '03.

[18]  Zhao Jing,et al.  Relay route planning based on connectivity in airborne ad hoc networks , 2017, 2017 29th Chinese Control And Decision Conference (CCDC).

[19]  Wu Bing Movement control algorithm of fault-tolerant UAVs Ad Hoc networks , 2012 .

[20]  F. A. Pujol,et al.  Energy-Efficient Swarm Behavior for Indoor UAV Ad-Hoc Network Deployment , 2018, Symmetry.

[21]  Hai Liu,et al.  A localized algorithm for bi-connectivity of connected mobile robots , 2009, Telecommun. Syst..