無人機(jī)編隊(duì)中無線紫外光隱秘通信的能耗均衡算法
doi: 10.11999/JEIT190965
-
1.
西安理工大學(xué)自動化與信息工程學(xué)院 西安 710048
-
2.
陜西省智能協(xié)同網(wǎng)絡(luò)軍民共建重點(diǎn)實(shí)驗(yàn)室 西安 710000
Energy Balance Algorithm for Wireless Ultraviolet Secret Communication in UAV Formation
-
1.
Institute of Automation and Information Engineering, Xi’an University of Technology, Xi’an 710048, China
-
2.
Shaanxi Civil-Military Integration Key Laboratory of Intelligence Collaborative Networks, Xi’an 710000, China
-
摘要:
針對強(qiáng)電磁干擾環(huán)境下無人機(jī)之間的隱秘通信，該文提出了無人機(jī)編隊(duì)中無線紫外光隱秘通信的能耗均衡算法。該算法能夠結(jié)合紫外光非直視、低竊聽等優(yōu)點(diǎn)，克服傳統(tǒng)無線電易被監(jiān)聽的缺點(diǎn)，在均衡能耗的同時(shí)為長機(jī)收集僚機(jī)信息提供可靠保證。通過引入考慮距離和剩余能量的優(yōu)先級函數(shù)，提出基于分簇機(jī)制的改進(jìn)算法BEAD-LEACH，并采用改進(jìn)算法對無人機(jī)隨機(jī)部署和呈圓形編隊(duì)部署時(shí)進(jìn)行仿真。仿真結(jié)果表明，在兩種部署方式下，網(wǎng)絡(luò)中50%節(jié)點(diǎn)出現(xiàn)死亡經(jīng)歷的時(shí)間分別延長了12%, 16%，改進(jìn)算法能夠有效地均衡網(wǎng)絡(luò)的通信能耗，延長無人機(jī)網(wǎng)絡(luò)的生存時(shí)間。
Abstract:In view of secret communication among unmanned aerial vehicles under the strong electromagnetic interference environment, this paper proposes the energy balance algorithm for wireless ultraviolet secret communication in Unmanned Aerial Vehicle (UAV) formation. The proposed algorithm combines the advantages of ultraviolet in non-line-of-sight and low eavesdropping, overcomes the disadvantage of the traditional radio, which can easily be monitored. It can provide reliable assurance for the leader to collect information of wingmen while balancing the energy consumption. The improved algorithm is proposeal based on cluster mechanism via introducing the priority function, which considers distance and residual energy. Adopting the improved algorithm to simulate under two scenarios in which UAVs are deployed randomly or UAVs are deployed in circle formation respectively, the simulation results show that the time of 50% death nodes occurring in UAV network is prolongal by 12% and 16% respectively under two types of deployment, and the improved algorithm can effectively balance the communication energy consumption of the network and prolong the survival time of UAV network.
-
表 1 仿真參數(shù)設(shè)置
參數(shù) 數(shù)值 紫外光波長$\lambda $ (nm) 260 節(jié)點(diǎn)個(gè)數(shù)$n$ 100 節(jié)點(diǎn)初始能量${E_0}$(J) 300 發(fā)送能量${E_{\rm{T}}}$(μJ) 80 接收能量${E_{\rm{R}}}$(μJ) 80 融合能量${E_{{\rm{DA}}}}$(μJ) 8 發(fā)收仰角${\beta _{\rm{T}}}$, ${\beta _{\rm{R}}}$(°) 40 發(fā)散半角與接收視場半角${\theta _{\rm{T}}}$, ${\theta _{\rm{R}}}$(°) 15 路徑損耗因子$\xi $ 1.69×108 路徑損耗指數(shù)$\alpha $ 1.3498 能量和距離權(quán)重因子${w_1}$,${w_2}$ 0.5 
下載: 導(dǎo)出CSV
-
BEKMEZCI I, SAHINGOZ O K, and TEMEL ?. Flying Ad-Hoc Networks (FANETs): A survey[J]. Ad Hoc Networks, 2013, 11(3): 1254–1270. doi: 10.1016/j.adhoc.2012.12.004 WU Husheng, LI Hao, XIAO Renbin, et al. Modeling and simulation of dynamic ant colony’s labor division for task allocation of UAV swarm[J]. Physica A: Statistical Mechanics and its Applications, 2017, 491: 127–141. doi: 10.1016/j.physa.2017.08.094 李霽野, 邱柯妮. 紫外光通信在軍事通信系統(tǒng)中的應(yīng)用[J]. 光學(xué)與光電技術(shù), 2005, 3(4): 19–21. doi: 10.3969/j.issn.1672-3392.2005.04.007LI Jiye and QIU Keni. Military application of UV communication[J]. Optics &Optoelectronic Technology, 2005, 3(4): 19–21. doi: 10.3969/j.issn.1672-3392.2005.04.007 ARDAKANI M H and UYSAL M. Relay-assisted OFDM for ultraviolet communications: performance analysis and optimization[J]. IEEE Transactions on Wireless Communications, 2017, 16(1): 607–618. doi: 10.1109/TWC.2016.2626438 SUN Yu, GONG Chen, XU Zhengyuan, et al. Link gain and pulse width broadening evaluation of non-line-of-sight optical wireless scattering communication over broad spectra[J]. IEEE Photonics Journal, 2017, 9(3): 7900212. doi: 10.1109/JPHOT.2017.2707468 ZANG Chunhua and ZANG Shouhong. Mobility prediction clustering algorithm for UAV networking[C]. 2011 IEEE GLOBECOM Workshops (GC Wkshps), Houston, USA, 2011: 1158–1161. doi: 10.1109/GLOCOMW.2011.6162360. WANG Tianshu, ZHANG Gongxuan, YANG Xichen, et al. A trusted and energy efficient approach for cluster-based wireless sensor networks[J]. International Journal of Distributed Sensor Networks, 2016: 3815834. doi: 10.1155/2016/3815834 WU Wenliang, XIONG Naixue, and WU Chunxue. Improved clustering algorithm based on energy consumption in wireless sensor networks[J]. IET Networks, 2017, 6(3): 47–53. doi: 10.1049/iet-net.2016.0115 LUETTGEN M R, SHAPIRO J H, and REILLY D M. Non-line-of-sight single-scatter propagation model[J]. Journal of the Optical Society of America A, 1991, 8(12): 1964–1972. doi: 10.1364/JOSAA.8.001964 ZUO Yong, XIAO Houfei, WU Jian, et al. A single-scatter path loss model for non-line-of-sight ultraviolet channels[J]. Optics Express, 2012, 20(9): 10359–10369. doi: 10.1364/OE.20.010359 XU Zhengyuan, DING Haipeng, SADLER B M, et al. Analytical performance study of solar blind non-line-of-sight ultraviolet short-range communication links[J]. Optics Letters, 2008, 33(16): 1860–1862. doi: 10.1364/OL.33.001860 CHEN Gang, XU Zhengyuan, DING Haipeng, et al. Path loss modeling and performance trade-off study for short-range non-line-of-sight ultraviolet communications[J]. Optics Express, 2009, 17(5): 3929–3940. doi: 10.1364/OE.17.003929 TANG Shuyan, QIN Zheng, and XIN Jiankuan. Collaborative task assignment scheme for multi-UAV based on cluster structure[C]. 2010 Second International Conference on Intelligent Human-machine Systems and Cybernetics, Nanjing, China, 2010: 285–289. doi: 10.1109/IHMSC.2010.171. 趙太飛, 許杉, 屈瑤, 等. 基于無線紫外光隱秘通信的偵察無人機(jī)蜂群分簇算法[J]. 電子與信息學(xué)報(bào), 2019, 41(4): 967–972. doi: 10.11999/JEIT180491ZHAO Taifei, XU Shan, QU Yao, et al. Cluster-based algorithm of reconnaissance UAV swarm based on wireless ultraviolet secret communication[J]. Journal of Electronics &Information Technology, 2019, 41(4): 967–972. doi: 10.11999/JEIT180491 LIU Xiaoyang. Simulation and analysis of an improved LEACH algorithm in wireless sensor network[C]. Proceedings of SPIE 8878, Fifth International Conference on Digital Image Processing, Beijing, China, 2013: 43. doi: 10.1117/12.2030941. 張小波, 程良倫, ZHU Quanmin. SAHRC: 一種基于分簇的無線傳感器網(wǎng)絡(luò)路由控制算法[J]. 電子與信息學(xué)報(bào), 2011, 33(8): 2013–2017. doi: 10.3724/SP.J.1146.2010.01270ZHANG Xiaobo, CHENG Lianglun, and ZHU Quanmin. SAHRC: A cluster-based routing control protocol for wireless sensor network[J]. Journal of Electronics &Information Technology, 2011, 33(8): 2013–2017. doi: 10.3724/SP.J.1146.2010.01270 溫佩芝, 許晨蛟, 鄧珍榮, 等. 多級異構(gòu)無線傳感器網(wǎng)絡(luò)分簇路由協(xié)議[J]. 計(jì)算機(jī)工程與設(shè)計(jì), 2016, 37(6): 1471–1477. doi: 10.16208/j.issn1000-7024.2016.06.010WEN Peizhi, XU Chenjiao, DENG Zhenrong, et al. Cluster-routing protocol for heterogenous multi-level wireless sensor networks[J]. Computer Engineering and Design, 2016, 37(6): 1471–1477. doi: 10.16208/j.issn1000-7024.2016.06.010 -
計(jì)量
- 文章訪問數(shù): 1373
- HTML全文瀏覽量: 343
- PDF下載量: 73
- 被引次數(shù): 0
下載:
