UAV-Aided Cooperative Data Collection Scheme for Ocean Monitoring Networks
UAV-Aided Cooperative Data Collection Scheme for Ocean Monitoring Networks
复制标题
无人机辅助海洋监测网络协同数据采集方案
DOI：
10.1109/jiot.2021.3065740
复制
发表时间：
2021-09-01
影响因子：
10.6
通讯作者：
Liu, Xiqing
中科院分区：
文献类型：
--
作者：
Ma, Ruofei;Wang, Ruisong;Liu, Xiqing
本文提出了一种基于无人机的远程海洋数据采集网络，该网络利用水声通信在一个数据采集周期内将监测数据从电池供电的水下传感器节点(USN)传输到海面汇点(SN)，然后悬停在空中的无人机收集SNS的所有数据，并通过无线通信链路将数据转发到地面基站。以最大化网络寿命为目标，将资源分配、USN到SN和SN到无人机的访问问题建模为混合整数非凸优化问题。为了有效地解决这个问题，我们将优化分解为两个阶段。第一阶段是最小化无人机到无人机非正交多址接入过程中的时间消耗，我们通过设计无人机部署方案、子信道匹配方案和联合功率和时间分配方案来解决这一问题；第二阶段是在每个收集周期中，在改进的频分多址策略下最大化USN在USN到SN传输中的剩余能量。第二阶段优化被进一步分解为若干相似的子问题，每个子问题都被认为是USNS与水声信道之间的二部图匹配问题。对于每个子问题，我们提出了改进的基于权重的匹配和基于二分的搜索算法。最后，我们设计了一个低复杂度的迭代算法，通过求解这些子问题来逼近原问题的最优解。仿真结果验证了所提方案的有效性。
In this article, we present an unmanned aerial vehicle (UAV)-aided ocean monitoring network for remote oceanic data collection, in which monitoring data are transmitted first from battery-powered underwater sensor nodes (USNs) to sea surface sink nodes (SNs) in a data collection cycle using underwater acoustic communication, and then a UAV hovering in air collects all the data from SNs and relays them to a ground base station via wireless communication links. Aiming at maximizing network lifetime, we model the resource allocation, USN-to-SN access, and SN-to-UAV access issues as a mixed-integer nonconvex optimization problem. To efficiently solve it, we decompose the optimization into two stages. The first stage is to minimize time consumption in an SN-to-UAV nonorthogonal multiple access process and we solve it by designing a UAV deployment scheme, a subchannel matching scheme, and a joint power and time allocation scheme, based on which, the second stage is to maximize the residual energies of USNs in USN-to-SN transmissions under a modified frequency-division multiple access strategy in each collection cycle. The second-stage optimization is further decomposed into some similar subproblems, and each of them is considered as a bipartite graph matching problem between USNs and underwater acoustic channels. For each subproblem, we propose improved weight-based matching and bisection-based searching algorithms. Finally, we design a low-complexity iteration algorithm to approximate the optimal solution of the original problem by solving these subproblems. The simulation results validate the effectiveness of our proposals.