无线传感器网络中基于时间窗的无人机数据收集方案  

Time-window-based UAV data collection mechanism in wirelesssensor networks

作　　者：牛涵琨 朱江[1] NIU Hankun;ZHU Jiang(School of Communications and Information Engineering,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China)

机构地区：[1]重庆邮电大学通信与信息工程学院,重庆400065

出　　处：《重庆邮电大学学报（自然科学版）》2023年第5期817-825,共9页Journal of Chongqing University of Posts and Telecommunications(Natural Science Edition)

基　　金：重庆市留创计划创新类资助项目(cx2020059);重庆市基础与前沿项目(cstc2018jcyjAX0463)。

摘　　要：无线传感器网络中节点具有休眠-活跃交替机制,为确保无人机在各个节点活跃期内完成数据收集任务,提出一种基于时间窗的数据收集方案。该方案通过联合优化无人机飞行轨迹和传输调度,降低无人机和传感节点的总能耗。由于该问题是一个混合整数非凸问题,为了有效对其进行求解,将传输调度连续化,将混合整数非凸问题转化为连续非凸问题;通过引入两个松弛变量,将问题转化为凸问题,并利用连续凸逼近方法求解出次优解。仿真结果表明,所提方案具有较快收敛速度,能够保证在完成数据收集任务的前提下,降低无人机和传感节点的总能耗。Nodes in wireless sensor networks have a sleep-active alternation mechanism.In order to ensure that unmanned aerial vehicle(UAV)complete data collection tasks during the active period of each node,this paper proposes a data collection scheme based on time window.This scheme reduces the total energy consumption of UAV and nodes by jointly optimizing the flight trajectory and transmission scheduling of UAV.Because this problem is a mixed integer non-convex problem,in order to solve it effectively,the transmission scheduling is firstly continuous,and the mixed integer non-convex problem is transformed into a continuous non-convex problem.Then by introducing two slack variables,the problem is transformed into convex problem,and a continuous convex approximation method is used to solve the sub-optimal solution.Simulation results show that the proposed scheme has a fast convergence rate and can ensure that the total energy consumption of UAV and sensor nodes is reduced while completing data collection tasks.

关 键 词：旋翼无人机 无线传感节点 数据收集 连续凸逼近 

分 类 号：TN929[电子电信—通信与信息系统]