{"title":"集成水声环境的协同uuv探测任务调度","authors":"Chengchong Jiang, Yiqun Hu, Yalong He, Wei Feng, Wenham Xu, Jianlong Li","doi":"10.1109/ICSPCC55723.2022.9984266","DOIUrl":null,"url":null,"abstract":"Underwater acoustic environment has an impact on the acoustic-based target detection method. Target detection via cooperative UUVs is a way to overcome the deficiency. To make full use of the environmental information, the paper presents a task scheduling method integrated with underwater acoustic environments to improve the detection ability at the task level. The method contains two parts: the detection performance evaluation model and the task scheduling model. The evaluation model can evaluate the detection performance of UUVs. The task scheduling model provides the mathematical form of the problem. The cumulative detection probability and the energy are used to construct the cost function. The detection strategies are designed to satisfy different situations. The GA algorithm is adopted to solve the optimization problems. The simulations are carried out with real environmental data. The results show the proposed method improves the performance of the cooperative detection.","PeriodicalId":346917,"journal":{"name":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Cooperative UUVs Detection Task Scheduling Integrated with Underwater Acoustic Environments\",\"authors\":\"Chengchong Jiang, Yiqun Hu, Yalong He, Wei Feng, Wenham Xu, Jianlong Li\",\"doi\":\"10.1109/ICSPCC55723.2022.9984266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Underwater acoustic environment has an impact on the acoustic-based target detection method. Target detection via cooperative UUVs is a way to overcome the deficiency. To make full use of the environmental information, the paper presents a task scheduling method integrated with underwater acoustic environments to improve the detection ability at the task level. The method contains two parts: the detection performance evaluation model and the task scheduling model. The evaluation model can evaluate the detection performance of UUVs. The task scheduling model provides the mathematical form of the problem. The cumulative detection probability and the energy are used to construct the cost function. The detection strategies are designed to satisfy different situations. The GA algorithm is adopted to solve the optimization problems. The simulations are carried out with real environmental data. The results show the proposed method improves the performance of the cooperative detection.\",\"PeriodicalId\":346917,\"journal\":{\"name\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"volume\":\"14 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSPCC55723.2022.9984266\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSPCC55723.2022.9984266","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Cooperative UUVs Detection Task Scheduling Integrated with Underwater Acoustic Environments
Underwater acoustic environment has an impact on the acoustic-based target detection method. Target detection via cooperative UUVs is a way to overcome the deficiency. To make full use of the environmental information, the paper presents a task scheduling method integrated with underwater acoustic environments to improve the detection ability at the task level. The method contains two parts: the detection performance evaluation model and the task scheduling model. The evaluation model can evaluate the detection performance of UUVs. The task scheduling model provides the mathematical form of the problem. The cumulative detection probability and the energy are used to construct the cost function. The detection strategies are designed to satisfy different situations. The GA algorithm is adopted to solve the optimization problems. The simulations are carried out with real environmental data. The results show the proposed method improves the performance of the cooperative detection.