Group-based association for UAV networks

This paper studies the group strategies of multi-UAVs for network association. The system consists of many small UAVs and two master UAVs. Small UAVs connect to the master UAVs according to their location. They make choices to select different group strategies and the leader of the group. In the group formed by the small UAVs, some small UAVs connect to the master UAVs directly and the others connect to the master UAVs through the leaders they select. In order to achieve two levels of spectrum sharing and transmission power optimization, a group-based algorithm is proposed to optimize the throughput and the cost of the transmission power. The simulation shows that this method is much better than the typically method which only considers spectrum sharing or power optimization. The group-based algorithm improves the throughput of the entire UAVs group and reduces the energy consumption.

[1]  Olabisi Emmanuel Falowo,et al.  A new network selection algorithm for group calls over heterogeneous wireless networks with dynamic multi-criteria , 2016, 2016 13th IEEE Annual Consumer Communications & Networking Conference (CCNC).

[2]  Toru Namerikawa,et al.  Formation Control with Collision Avoidance for a Multi-UAV System Using Decentralized MPC and Consensus-Based Control , 2015 .

[3]  Luis Felipe Gonzalez,et al.  Increasing Autonomy Transparency through capability communication in multiple heterogeneous UAV management , 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

[4]  Hossam S. Hassanein,et al.  Handoffs in fourth generation heterogeneous networks , 2006, IEEE Communications Magazine.

[5]  Janise McNair,et al.  Multiservice Vertical Handoff Decision Algorithms , 2006, EURASIP J. Wirel. Commun. Netw..

[6]  Luo Lei,et al.  Optimization and improvement for multi-UAV cooperative reconnaissance mission planning problem , 2014, 2014 11th International Computer Conference on Wavelet Actiev Media Technology and Information Processing(ICCWAMTIP).

[7]  Qihui Wu,et al.  User-Demand-Aware Wireless Network Selection: A Localized Cooperation Approach , 2014, IEEE Transactions on Vehicular Technology.

[8]  Qihui Wu,et al.  Dynamic User Demand Driven Online Network Selection , 2014, IEEE Communications Letters.

[9]  Vincent W. S. Wong,et al.  A Constrained MDP-Based Vertical Handoff Decision Algorithm for 4G Wireless Networks , 2008, 2008 IEEE International Conference on Communications.

[10]  Dusit Niyato,et al.  Network Selection in Heterogeneous Wireless Networks: Evolution with Incomplete Information , 2010, 2010 IEEE Wireless Communication and Networking Conference.

[11]  Nada Golmie,et al.  Vertical Handoff Decision Algorithm Providing Optimized Performance in Heterogeneous Wireless Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[12]  Matteo Cesana,et al.  Game theoretic analysis of wireless access network selection: models, inefficiency bounds, and algorithms , 2008, VALUETOOLS.

[13]  Janise McNair,et al.  Vertical handoffs in fourth-generation multinetwork environments , 2004, IEEE Wireless Communications.

[14]  Zhongliang Zhou,et al.  Distributed UCAV task coordination based on modified GPGP method under ANA mode , 2016, 2016 IEEE Information Technology, Networking, Electronic and Automation Control Conference.