无人机协助WSNs中的节能数据采集策略  

Energy-efficient data acquisition strategy in UAV-assisted WSNs

作　　者：曹润宇 姜泽峰 张善新[2] CAO Runyu;JIANG Zefeng;ZHANG Shanxin(School of Artificial Intelligence and Computer Science,Jiangnan University,Wuxi 214122,China;School of Internet of Things Engineering,Jiangnan University,Wuxi 214122,China)

机构地区：[1]江南大学人工智能与计算机学院,江苏无锡214122 [2]江南大学物联网工程学院,江苏无锡214122

出　　处：《传感器与微系统》2023年第11期105-109,共5页Transducer and Microsystem Technologies

基　　金：中国博士后科学基金资助项目(2021T140279)。

摘　　要：在无线传感器网络(WSNs)中,无人机(UAV)已经成为一种有效的数据采集手段,但在采集过程中产生的大量能耗严重降低WSNs的寿命。针对WSNs中数据采集能量消耗大的问题,设计了一种基于传感器节点(SNs)唤醒调度和无人机轨迹设计的节能数据采集策略。基于该方案,构建了无人机与SNs能耗加权和最小化问题,该问题被描述为混合整数非线性规划(MINLP)问题,通常难以求解。针对该问题,提出一种基于路径离散化和连续凸逼近的联合优化算法,得到满足KKT条件的局部最优解。实验结果表明,所提出的方案能实现显著的网络节能,且能实现无人机能耗与SNs能耗之间的灵活权衡。In wireless sensor networks(WSNs),unmanned aerial vehicles(UAV)has become an effective data acquisition technology,but the large amount of energy consumption generated in the data acquisition process seriously reduces the life of the WSNs.Aiming at the problem of high energy consumption in the data acquisition process of WSNs,an energy-efficient data acquisition strategy based on sensor nodes(SNs)wake-up scheduling and UAV trajectory design is designed.Based on this scheme,a problem of minimizing the weighted energy consumption of UAV and SNs is constructed.This problem is described as a mixed integer nonlinear programming(MINLP)problem,which is usually difficult to solve.Aiming at this problem,a joint optimization algorithm based on path discretization and successive convex approximation is proposed to obtain a local optimal solution that satisfies the KKT(Karush-Kuhn-Tucker)condition.Experimental results show that the proposed scheme can achieve significant network energy saving,and can achieve a flexible trade-off between the energy consumption of UAV and SNs.

关 键 词：无线传感器网络 无人机 数据采集 能量消耗 凸优化 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]