近年来,为了适应日益复杂的无人机工作场景,多无人机系统应运而生,该系统依托无人机自组织网络(UAV Ad Hoc Network,UAVNET)实现,UAVNET设计能够直接影响多无人机系统的综合性能,因此,对UAVNET设计进行研究具有一定现实意义.簇头无人机需要承担维护分簇结构、协助簇间通信等任务,存在综合能耗相对较高的缺陷.本文以UAVNET设计中的簇头无人机能耗优化问题为研究对象,提出了GEDQN簇头选择算法,经过验证,本文提出的智能簇头选择机制能够在一定程度上减少簇头无人机的综合能耗.
Research on Cluster Head Selection Mechanism for Layered Unmanned Aerial Vehicle Self Organizing Network
In recent years,in order to adapt to increasingly complex unmanned aerial vehicle(UAV)work scenarios,multi UAV systems have emerged,which rely on UAV Ad Hoc Network(UAVNET)implementation.UAVNET design can directly affect the comprehensive performance of multi UAV systems.Therefore,research on UAVNET design has certain practical significance.The cluster head unmanned aerial vehicle needs to undertake tasks such as maintaining the cluster structure and assisting in inter cluster communication,which has the disadvantage of relatively high comprehensive energy consumption.This article takes the energy consumption optimization problem of cluster head unmanned aerial vehicles in UAVNET design as the research object,and proposes the GEDQN cluster head selection algorithm.After verification,the intelligent cluster head selection mechanism proposed in this article can reduce the comprehensive energy consumption of cluster head unmanned aerial vehicles to a certain extent.
layeringunmanned aerial vehicle self-organizing networkclustering algorithmcluster head selection mechanism