国家自然科学基金-海峡联合基金(U1805262); 福建省高校产学合作项目(2018H6007); 2018年度福建省教育厅中青年教师教育项目(JT180095)
在发生重大自然灾害时, 所在区域的基站等通信设备容易遭到破坏, 无法满足受灾人员的通信需求. 针对该场景, 在无线mesh网络架构下, 提出地空异构网络中无人机辅助的文件协作缓存算法. 其中, mesh路由器为主要缓存设备, 将缓存文件块作为缓存策略的基因, 采用遗传算法实现文件协作缓存, 减少用户请求文件的响应时延, 达到应急通信的目的; 无人机作为中继传输节点, 将转弯角作为轨迹规划的基因, 采用遗传算法得出最优中继位置, 辅助地面无线mesh路由缓存, 共同为用户提供文件块. 仿真结果表明, 所提出的算法可以显著降低用户获取文件的平均时延, 达到应急通信的目的.
In the event of a major natural disaster, communication equipment such as the base station in the area is vulnerable to damage, which is unable to meet the communication needs of the affected people. For this scenario, this study proposes a UAV-assisted file cooperative caching algorithm under the wireless mesh network architecture. Among them, the mesh router is the main cache device, the cache file block is used as the gene of cache strategy, and the genetic algorithm is used to implement file Cooperative Cache, which reduces the response delay of user request file, and achieves the purpose of emergency communication. UAV as the relay transmission node, takes the turning angle as the gene of trajectory planning, uses genetic algorithm to get the optimal relay position, assists the ground wireless mesh routing cache, and jointly provides file blocks for users. The simulation results show that the proposed algorithm can significantly reduce the average delay of users’ access to files and achieve the purpose of emergency communication.