Self-Organized and Distributed Green Resource Allocation for Space–Air–Ground IoT Networks
Self-Organized and Distributed Green Resource Allocation for Space–Air–Ground IoT Networks
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DOI：
10.1109/jiot.2022.3222238
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发表时间：
2023-06
影响因子：
10.6
通讯作者：
Peng Yu;Yijing Li;Manjun Zhang;Ao Xiong;Wenjing Li;Xuesong Qiu;Luoming Meng
中科院分区：
文献类型：
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作者：
Peng Yu;Yijing Li;Manjun Zhang;Ao Xiong;Wenjing Li;Xuesong Qiu;Luoming Meng
为了应对海量物联网设备的应急通信或热点容量增强所带来的爆炸性连接和数据量，在无人机上部署空中基站（AeBS）以生成异构天地空网络被认为是一种非常有效的方法。然而，飞行的 AeBS 和回程到现有的异构网络 (HetNet) 导致网络能耗成为一个关键点。为了确保智能物联网应用的空-空-地网络的节能运行，我们提出了基于集群的HetNets节能资源分配机制（CHERA）。该方案首先利用K-means++算法将整个网络划分为多个独立的BS集群，进行分布式能源效率（EE）优化。然后，我们提出了一种贪婪的 BS 睡眠策略和一种基于拉格朗日对偶的最优功率分配算法，以实现每个 BS 集群中 EE 的最大化。天地空地物联网网络的EE优化是在自组织网络框架下实现的，以确保网络的高效可靠运行。仿真结果表明，该机制有效降低了能耗。与基站均处于主动模式且无功率优化的基准算法相比，它使空-空-地网络的 EE 提高了 23.8%。该结果预计将有助于实现未来的绿色空间-空中-地面网络物联网应用。
To deal with the explosion connections and data volume for emergency communication or hot spot capacity enhancement with massive Internet of Things (IoT) devices, deploying aerial base stations (AeBSs) on unmanned aerial vehicles (UAVs) to generate heterogeneous space–air–ground networks is considered to be a quite effective method. However, the flying AeBSs and back-hauling to existing heterogeneous networks (HetNets) lead to network energy consumption a key point. To ensure the energy-efficient operation of space–air–ground networks for smart IoT applications, we put forward the cluster-based HetNets energy-efficient resource allocation mechanism (CHERA). The scheme first divides the entire network into multiple independent BS clusters with the K-means++ algorithm for distributed energy efficiency (EE) optimization. Then, we propose a greedy BS sleeping strategy and a Lagrangian-dual-based optimal power allocation algorithm for the maximization of EE in each BS cluster. The EE optimization of space–air–ground IoT networks is implemented under the self-organizing network framework to make sure of the efficient and reliable operation of the network. Simulation results indicate that energy consumption is effectively decreased with the mechanism. It boosts the EE of space–air–ground networks by 23.8% compared with a baseline algorithm in which BSs are all in active mode with no power optimization. The result is expected to be useful for achieving future green space–air–ground networks IoT applications.