期刊文献+

无人机编队信息传输能耗平衡协同设计 被引量:3

Balance-Energy Consumption Cooperative Design for UAV Formation Information Transmission
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摘要 针对无人机编队自组织网络拓扑结构的动态特性,导致编队中的无人机信息传输能量消耗不均匀,影响侦查任务的高效实施。提出了一种无人机编队信息传输能耗平衡协同设计方法。上述方法采用协同中继下的能量消耗模型,各无人机通过编队间的能量感知获得自身能量剩余程度,合理选择信息传输方式:通过邻近的其它无人机中继后下传给地面基站或者在能量消耗较少的情况下直接下传给地面基站。仿真结果表明,就地面基站收集信息的次数因素而言,协同中继算法能比分簇算法提高约22%左右,证明改进方法可以有效节省能量,延长了无人机编队的侦察时间。 Due to dynamic topology of unmanned aerial vehicle (UAV) formation mobile ad hoc network, the en- ergy consumption is not unbalanced for UAV formation information transmission, which will affect the effective imple- mentation of reconnaissance. A cooperative design method of balance - energy consumption for UAV formation infor- mation transmission is proposed based on cooperative relaying radio energy consumption model. The data transmission method is reasonably chosen according to remaining energy of themselves. The other nearby relay UAVs download da- ta are used to ground base station to achieve fair energy consumption or transmitting data directly without relay in case of less energy consumption. The simulations show that the cooperative relaying (CR) is approximately twenty - two percent more than clustering algorithm as far as the number of data collection rounds by ground base station respect. The energy- aware CR algorithm demonstrates that energy consumption is reduced and the reconnaissance time of UAV formation is prolonged.
出处 《计算机仿真》 CSCD 北大核心 2016年第4期63-66,共4页 Computer Simulation
基金 航空基金(20130596008)
关键词 无人机编队 能量感知 协同中继 分簇算法 能耗平衡 Unmanned aerial vehicle (UAV) formation Energy- aware Cooperative relaying (CR) Clustering algorithm Balance - energy consumption
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参考文献9

  • 1Ozgur Koray Sahingoz. Mobile Networking with U AVs: Opportuni- ties and Challenges [ J ]. International Conference on Unnmnned Aircraft Systems, 2013 - 3.
  • 2徐赞新,袁坚,王钺,张耀东,衣龙腾,霍金海,冯振明.一种支持移动自组网通信的多无人机中继网络[J].清华大学学报(自然科学版),2011,51(2):150-155. 被引量:23
  • 3D T Ho, T A Johansen. Cluster - based communication topology selection and UAV path planning in wireless sensor networks [ J ]. International Conference on Unmanned Aireral~ Systems, 2013.
  • 4宦娟.AdHoe网络分簇算法与节能策略研究[M].镇江:江苏大学出版社,2007—6.
  • 5Ibrahim Y ABualhaol, Mustafa M Matalgah. Performance Analysis of Multi - Carrier Relay - Based UAV Network Over Fading Chan- nels[ J]. Workshop on Wireless Networking tbr Unmanned Aerial Vehicles, 2010.
  • 6Javad Vazifehdan, R. Venkatesha Prasad. Energy - Efficient Reli- able Routing Considering Residual Energy in Wireless Ad Hoc Net- works[J]. IEEE Transactions on Mobile Computing, 2014, 13 (2).
  • 7康一梅,赵磊,胡江,黄金.基于能量感知的无线传感器网络层次型路由协议[J].计算机工程与设计,2011,32(12):3947-3951. 被引量:3
  • 8Zhan Pengcheng, Yu Kai. Wireless Relay Communications with Unmanned Aerial Vehicles: Performance and Optimization [ J ]. IEEE Transactions on Aerospace and Electronic System, 2011,47 (3).
  • 9Sergio Ferreira, Guilherme Cmvalho, Filipe Ferreira. Assessing the capacity of man - portable UAVs for network access point lo- calization, using RSSI link datal J ]- International Conference on Unmanned Aircraft Systems, 2014 - 3.

二级参考文献27

  • 1崔莉,鞠海玲,苗勇,李天璞,刘巍,赵泽.无线传感器网络研究进展[J].计算机研究与发展,2005,42(1):163-174. 被引量:730
  • 2李岩,张曦煌,李彦中.LEACH-EE——基于LEACH协议的高效聚类路由算法[J].计算机应用,2007,27(5):1103-1105. 被引量:33
  • 3Sivakumar A, Tan C. UAV Swarm coordination using cooperative control for establishing a wireless communications backbone [C]// International Conference on Autonomous Agents and Multiagent Systems. Toronto, Canada, 2010: 1157 - 1164.
  • 4Pinkney J, Hampel D, DiPierro S. Unmanned aerial vehicle (UAV) communications relay [C]// IEEE Military Communications Conference. Piscataway, USA, 1996 : 47 - 51.
  • 5XU Kanxin, HONG Xiaoyan, Gerla M, et al. Landmark routing in large wireless battlefield networks using UAVs [C]// Military Communications Conference. Washington DC, USA, 2001: 230-234.
  • 6Brown X, Argrow B, Dixon C, et al. Ad hoc UAV-Ground Network (AUGNet) Test Bed [C]// 4th Scandinavian Workshop on Wireless Ad-hoc Networks. Stockholm,Sweden, 2004.
  • 7Hague D, Kung H T, Suter B. Field experimentation of cots-based UAV networking [C]// Military Communications Conference. Washington DC, USA, 2006: 1-7.
  • 8Chadrashekar K, Raissi Dehkordi M, Baras J S. Providing Full Connectivity in Large Ad-Hoc Networks by Dynamic Placement of Aerial Platforms [R]. CSHCN Technical Report 2004 21. Maryland, USA, 2004.
  • 9Raissi-Dehkordi M, Chandrashekar K, Baras J S. UAV Placement for Enhanced Connectivity in Wireless Ad hoc Networks [R]. CSHCN Technical Report 2004 18. Maryland, USA, 2004.
  • 10Perumal S, Baras J S, Graff C J, et al. Aerial platform placement algorithms to satisfy connectivity, capacity and survivability constraints in wireless ad-hoc networks [C]// Military Communications Conference. San Diego, USA, 2008: 1 - 7.

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