首页|基于JAYA算法的紫外光通信无人机编队路由优化

基于JAYA算法的紫外光通信无人机编队路由优化

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紫外光通信由于其灵活性高、安全性好和全天候工作等优点,被认为是应急通信用无人机编队(UAV)的有潜力通信解决方案.为了提升紫外光通信无人机编队的有效作业时间,该文基于低功耗自适应集簇分层(LEACH)算法,并结合JAYA智能优化算法提出一种新颖的路由优化算法(RJLEACH).该方法被用来改善紫外光通信无人机编队的有效操作时间.应用该算法对不同结构的紫外光通信无人机编队路由优化,并与其它算法得到的结果进行了比较分析.结果表明,RJLEACH算法在簇首选举阶段降低了无人机节点间的剩余能量方差,并且通过搜索最优路由降低了簇间通信的能量消耗.最终使网络出现第1个死亡节点和出现1/2死亡节点的时间相比经典LEACH算法分别延长了31.8%和13.8%,同时明显提高了能量利用率,能够为灾区救援和应急通信等任务争取宝贵的时间.
Routing Optimization of Ultra Violet Light Communication Unmanned Aerial Vehicle Formation Based on JAYA Algorithm
Due to its high flexibility, good safety and all-weather work, ultraviolet light communication is considered to be a potential communication solution for the emergency communication Unmanned Aerial Vehicle (UAV) formation. Based on the Low Energy Adaptive Clustering Hierarchy (LEACH) algorithm, and combined with JAYA intelligent optimization algorithm, a novel routing optimization algorithm Rcomp JAYA LEACH (RJLEACH) is proposed to improve the effective operation time of the ultraviolet light communication UAV formation. The algorithm is applied to optimize the formation routing of ultraviolet light communication UAVs with different structures, and the results obtained by other algorithms are compared and analyzed. The results show that RJLEACH algorithm reduces the residual energy variance between UAV nodes in the cluster head election stage, and the search for the optimal route reduces the energy consumption of inter-cluster communication. Finally, the time of the first node's death and half nodes' death in the network are prolonged by 31.8% and 13.8%, respectively compared with the classic LEACH algorithm, and the energy utilization rate is significantly improved, which can gain valuable time for tasks such as disaster relief and emergency communication.

Wireless ultraviolet communicationCluster protocolUnmanned Aerial Vehicle(UAV) formationRouting optimization algorithm

郝锐、王建萍、陈丹阳、路慧敏

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北京科技大学计算机与通信工程学院 北京 100083

无线紫外光通信 分簇协议 无人机编队 路由优化算法

广东省基础与应用基础研究基金区域联合基金重点项目中央高校基本科研业务费专项北京科技大学青年教师学科交叉研究项目

2021B1515120086FRF-IDRY-21-019

2024

电子与信息学报
中国科学院电子学研究所 国家自然科学基金委员会信息科学部

电子与信息学报

CSTPCD北大核心
影响因子:1.302
ISSN:1009-5896
年,卷(期):2024.46(3)
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