Verma Ashwin, Bhattacharya Pronaya, Saraswat Deepti, Tanwar Sudeep, Kumar Neeraj, Sharma Ravi
Department of Computer Science and EngineeringInstitute of Technology, Nirma University Ahmedabad Gujarat 382481 India.
Department of Computer Science EngineeringThapar Institute of Engineering and Technology Patiala 146004 India.
IEEE Sens J. 2022 Jul 12;23(2):955-968. doi: 10.1109/JSEN.2022.3188929. eCollection 2023 Jan.
Recently, unmanned aerial vehicles (UAVs) are deployed in Novel Coronavirus Disease-2019 (COVID-19) vaccine distribution process. To address issues of fake vaccine distribution, real-time massive UAV monitoring and control at nodal centers (NCs), the authors propose SanJeeVni, a blockchain (BC)-assisted UAV vaccine distribution at the backdrop of sixth-generation (6G) enhanced ultra-reliable low latency communication (6G-eRLLC) communication. The scheme considers user registration, vaccine request, and distribution through a public Solana BC setup, which assures a scalable transaction rate. Based on vaccine requests at production setups, UAV swarms are triggered with vaccine delivery to NCs. An intelligent edge offloading scheme is proposed to support UAV coordinates and routing path setups. The scheme is compared against fifth-generation (5G) uRLLC communication. In the simulation, we achieve and 86% improvement in service latency, 12.2% energy reduction of UAV with 76.25% more UAV coverage in 6G-eRLLC, and a significant improvement of [Formula: see text]% in storage cost against the Ethereum network, which indicates the scheme efficacy in practical setups.
最近，无人驾驶飞行器（UAV）被部署在2019年新型冠状病毒病（COVID-19）疫苗分发过程中。为了解决假疫苗分发问题，在节点中心（NC）进行实时大规模无人机监测和控制，作者提出了SanJeeVni，这是一种在第六代（6G）增强超可靠低延迟通信（6G-eRLLC）通信背景下的区块链（BC）辅助无人机疫苗分发方案。该方案通过公共的Solana BC设置来考虑用户注册、疫苗请求和分发，这确保了可扩展的交易速率。根据生产设置中的疫苗请求，触发无人机群将疫苗运送到NC。提出了一种智能边缘卸载方案来支持无人机坐标和路由路径设置。该方案与第五代（5G）超可靠低延迟通信（uRLLC）进行了比较。在模拟中，我们实现了服务延迟提高86%，无人机能耗降低12.2%，在6G-eRLLC中无人机覆盖范围增加76.25%，并且与以太坊网络相比，存储成本显著提高了[公式：见原文]%，这表明该方案在实际设置中的有效性。
