{"title":"基于群体感应的纳米机器人血管导航拥塞避免算法","authors":"Qing-Ying Zhao, Min Li, Jun Luo","doi":"10.1109/RCAR.2016.7784061","DOIUrl":null,"url":null,"abstract":"This paper presents a quorum sensing algorithm to coordinate nanorobots and avoid congestion in blood vessels. In the algorithm, nanorobots use a chemical signal like autoinducer of bacteria to estimate the number of nanorobots in target site. And a method to determine the maximum value of nanorobots number in different vessels depending on vessel diameter is proposed. Simulations have been conducted to evaluate the effectiveness of the algorithm in a local field of blood vessels.","PeriodicalId":402174,"journal":{"name":"2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A congestion avoidance algorithm based on quorum sensing for nanorobot navigation in blood vessels\",\"authors\":\"Qing-Ying Zhao, Min Li, Jun Luo\",\"doi\":\"10.1109/RCAR.2016.7784061\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a quorum sensing algorithm to coordinate nanorobots and avoid congestion in blood vessels. In the algorithm, nanorobots use a chemical signal like autoinducer of bacteria to estimate the number of nanorobots in target site. And a method to determine the maximum value of nanorobots number in different vessels depending on vessel diameter is proposed. Simulations have been conducted to evaluate the effectiveness of the algorithm in a local field of blood vessels.\",\"PeriodicalId\":402174,\"journal\":{\"name\":\"2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)\",\"volume\":\"36 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RCAR.2016.7784061\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Real-time Computing and Robotics (RCAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RCAR.2016.7784061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A congestion avoidance algorithm based on quorum sensing for nanorobot navigation in blood vessels
This paper presents a quorum sensing algorithm to coordinate nanorobots and avoid congestion in blood vessels. In the algorithm, nanorobots use a chemical signal like autoinducer of bacteria to estimate the number of nanorobots in target site. And a method to determine the maximum value of nanorobots number in different vessels depending on vessel diameter is proposed. Simulations have been conducted to evaluate the effectiveness of the algorithm in a local field of blood vessels.
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