物联网学报2025，Vol.9Issue(4)：77-90,14.DOI:10.11959/j.issn.2096-3750.2025.00488
面向应急响应群智感知的异构群体协作任务分配方法
Task allocation method for collaborative crowdsensing of heterogeneous entities in emergency response
摘要
Abstract
Collaborative crowdsensing of heterogeneous entities has emerged as a pivotal research area in the field of col-lective intelligence in recent years,primarily focusing on how diverse agents,such as humans,drones,and unmanned ve-hicles,can collaboratively perceive and interpret their environments,which holds significant promise for applications in the emergency rescue and urban operations.However,existing task allocation algorithms for collaborative crowdsensing often struggle to balance allocation effectiveness with solution efficiency,and they frequently fail to facilitate deep col-laboration among diverse entities.To address the partially observable conditions of environmental states during emer-gency rescue operations,a"hard collaboration"model for heterogeneous entities was introduced and a model for task al-location problem was formulated.To address this challenge,a multi-agent collaboration framework was developed and a task allocation algorithm for heterogeneous entities with partially observable environment states was proposed.Extensive experiments across four scenarios show that the proposed method outperforms the baseline algorithms in task completion rates,achieving an average of 84.40%±4.74%compared with the best baseline's 65.98%±4.97%.Moreover,the pro-posed method exhibits strong robustness,maintaining commendable task completion rates even amid changes in percep-tion scenarios and underscoring its potential for deployment in dynamic environments.关键词
应急响应/异构群体协作感知/任务分配/多智能体强化学习Key words
emergency response/collaborative crowdsensing of heterogeneous entity/task allocation/multi-agent rein-forcement learning分类
信息技术与安全科学引用本文复制引用
路文浩,赵勇,季雅泰,张琪,许凯,朱正秋..面向应急响应群智感知的异构群体协作任务分配方法[J].物联网学报,2025,9(4):77-90,14.基金项目
国防科技大学青年自主创新基金资助项目(No.ZK-2023-21)The Youth Independent Innovation Foundation of NUDT(No.ZK-2023-21) （No.ZK-2023-21）
