{"title":"具有有限范围相互作用的移动传感网络的协调部署","authors":"J. Cortés, S. Martínez, F. Bullo","doi":"10.1109/CDC.2004.1430332","DOIUrl":null,"url":null,"abstract":"This paper presents coordination algorithms for groups of mobile agents performing deployment and coverage tasks. As an important modeling constraint, we assume that each mobile agent has a limited sensing or communication radius. We focus on (1) a comprehensive smoothness analysis of a class of locational optimization functions (including a generalized statement of the conservation-of-mass law), and (2) a discrete-time convergence result based on a recently-developed generalized statement of LaSalle invariance principle. Our coordination algorithms have convergence guarantees and are spatially distributed with respect to appropriate proximity graphs. Numerical simulations illustrate the results.","PeriodicalId":254457,"journal":{"name":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2004-12-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Coordinated deployment of mobile sensing networks with limited-range interactions\",\"authors\":\"J. Cortés, S. Martínez, F. Bullo\",\"doi\":\"10.1109/CDC.2004.1430332\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents coordination algorithms for groups of mobile agents performing deployment and coverage tasks. As an important modeling constraint, we assume that each mobile agent has a limited sensing or communication radius. We focus on (1) a comprehensive smoothness analysis of a class of locational optimization functions (including a generalized statement of the conservation-of-mass law), and (2) a discrete-time convergence result based on a recently-developed generalized statement of LaSalle invariance principle. Our coordination algorithms have convergence guarantees and are spatially distributed with respect to appropriate proximity graphs. Numerical simulations illustrate the results.\",\"PeriodicalId\":254457,\"journal\":{\"name\":\"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2004-12-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CDC.2004.1430332\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2004 43rd IEEE Conference on Decision and Control (CDC) (IEEE Cat. No.04CH37601)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CDC.2004.1430332","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Coordinated deployment of mobile sensing networks with limited-range interactions
This paper presents coordination algorithms for groups of mobile agents performing deployment and coverage tasks. As an important modeling constraint, we assume that each mobile agent has a limited sensing or communication radius. We focus on (1) a comprehensive smoothness analysis of a class of locational optimization functions (including a generalized statement of the conservation-of-mass law), and (2) a discrete-time convergence result based on a recently-developed generalized statement of LaSalle invariance principle. Our coordination algorithms have convergence guarantees and are spatially distributed with respect to appropriate proximity graphs. Numerical simulations illustrate the results.