{"title":"物联网的分、治、并","authors":"Jagnyashini Debadarshini, Sudipta Saha","doi":"10.1109/DCOSS54816.2022.00026","DOIUrl":null,"url":null,"abstract":"Divide, Conquer and Merge (DCM) is a well-known algorithmic paradigm. It has been used to solve both core problems as well as to address the scalability issue in other algorithms. It is widely used in networks or distributed computation to solve the scalability problem arising due to highly dense and wide structures. However, from the implementation point of view, all these application of DCM were designed considering the traditional Asynchronous-Transmission (AT) based communication technologies. In this work, we study the application of DCM in the context of Synchronous-Transmission (ST) which bears fundamentally different dynamics compared to the AT. Specifically, we study the application of DCM over an existing state-of-the-art ST-based strategy MiniCast and demonstrate the performance gain in calculation of aggregation. Our work, shows that applying DCM on MiniCast makes MiniCast based aggregation mechanism upto six times faster and make it consume upto five times lesser energy compared to the case when DCM is not applied.","PeriodicalId":300416,"journal":{"name":"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Divide, Conquer and Merge for Internet-of-Things\",\"authors\":\"Jagnyashini Debadarshini, Sudipta Saha\",\"doi\":\"10.1109/DCOSS54816.2022.00026\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Divide, Conquer and Merge (DCM) is a well-known algorithmic paradigm. It has been used to solve both core problems as well as to address the scalability issue in other algorithms. It is widely used in networks or distributed computation to solve the scalability problem arising due to highly dense and wide structures. However, from the implementation point of view, all these application of DCM were designed considering the traditional Asynchronous-Transmission (AT) based communication technologies. In this work, we study the application of DCM in the context of Synchronous-Transmission (ST) which bears fundamentally different dynamics compared to the AT. Specifically, we study the application of DCM over an existing state-of-the-art ST-based strategy MiniCast and demonstrate the performance gain in calculation of aggregation. Our work, shows that applying DCM on MiniCast makes MiniCast based aggregation mechanism upto six times faster and make it consume upto five times lesser energy compared to the case when DCM is not applied.\",\"PeriodicalId\":300416,\"journal\":{\"name\":\"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCOSS54816.2022.00026\",\"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 18th International Conference on Distributed Computing in Sensor Systems (DCOSS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCOSS54816.2022.00026","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
摘要
分治合并(Divide, Conquer and Merge, DCM)是一个著名的算法范例。它已被用于解决核心问题以及解决其他算法中的可伸缩性问题。它被广泛应用于网络或分布式计算中,以解决高密度和宽结构所带来的可扩展性问题。然而,从实现的角度来看,这些DCM应用的设计都是基于传统的异步传输(AT)通信技术。在这项工作中,我们研究了DCM在同步传输(ST)背景下的应用,与AT相比,同步传输具有根本不同的动力学。具体来说,我们研究了DCM在现有的最先进的基于st的策略MiniCast上的应用,并演示了聚合计算中的性能增益。我们的工作表明,与不应用DCM的情况相比,在MiniCast上应用DCM使基于MiniCast的聚合机制速度提高了6倍,消耗的能量减少了5倍。
Divide, Conquer and Merge (DCM) is a well-known algorithmic paradigm. It has been used to solve both core problems as well as to address the scalability issue in other algorithms. It is widely used in networks or distributed computation to solve the scalability problem arising due to highly dense and wide structures. However, from the implementation point of view, all these application of DCM were designed considering the traditional Asynchronous-Transmission (AT) based communication technologies. In this work, we study the application of DCM in the context of Synchronous-Transmission (ST) which bears fundamentally different dynamics compared to the AT. Specifically, we study the application of DCM over an existing state-of-the-art ST-based strategy MiniCast and demonstrate the performance gain in calculation of aggregation. Our work, shows that applying DCM on MiniCast makes MiniCast based aggregation mechanism upto six times faster and make it consume upto five times lesser energy compared to the case when DCM is not applied.