{"title":"基于逐次加减简方法的异构WSNs能量优化","authors":"Safa Y. Mahgoub, S. Babiker","doi":"10.1109/ICCCEEE49695.2021.9429626","DOIUrl":null,"url":null,"abstract":"This paper presents two methods, Successive Addition Method (SAM) and Successive Reduction Method (SRM) for maximizing lifetime in Heterogeneous wireless sensor networks (HWSNs). The HWSNs have different sensing capabilities and different power transmit and battery lifetimes. In this study a known set of heterogeneous wireless sensors are randomly deployed. The simulation results show that the two methods are effective for maximizing the lifetime of HWSNs.","PeriodicalId":359802,"journal":{"name":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Energy Optimization of Heterogeneous WSNs using Successive Addition and Reduction Methods\",\"authors\":\"Safa Y. Mahgoub, S. Babiker\",\"doi\":\"10.1109/ICCCEEE49695.2021.9429626\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents two methods, Successive Addition Method (SAM) and Successive Reduction Method (SRM) for maximizing lifetime in Heterogeneous wireless sensor networks (HWSNs). The HWSNs have different sensing capabilities and different power transmit and battery lifetimes. In this study a known set of heterogeneous wireless sensors are randomly deployed. The simulation results show that the two methods are effective for maximizing the lifetime of HWSNs.\",\"PeriodicalId\":359802,\"journal\":{\"name\":\"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)\",\"volume\":\"37 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-02-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCCEEE49695.2021.9429626\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 International Conference on Computer, Control, Electrical, and Electronics Engineering (ICCCEEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCCEEE49695.2021.9429626","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Energy Optimization of Heterogeneous WSNs using Successive Addition and Reduction Methods
This paper presents two methods, Successive Addition Method (SAM) and Successive Reduction Method (SRM) for maximizing lifetime in Heterogeneous wireless sensor networks (HWSNs). The HWSNs have different sensing capabilities and different power transmit and battery lifetimes. In this study a known set of heterogeneous wireless sensors are randomly deployed. The simulation results show that the two methods are effective for maximizing the lifetime of HWSNs.