{"title":"超窄带能量清除供电无线传感器网络","authors":"Mhd. Zaher Mahfouz, A. Meijerink, M. Bentum","doi":"10.1109/PIMRC.2017.8292562","DOIUrl":null,"url":null,"abstract":"Industrial and consumer applications, such as smart energy and e-wearables, have become a reality — thanks to the Internet of Things and wireless sensor networks — creating a billions-worth market. Very-large-scale integration combined with energy scavenging give a promising ultra-low-power, cost-effective, and environment-friendly solution for the increasing power consumption demands as tens of millions of nodes are deployed worldwide every year. Most available wireless standards are power-hungry and, therefore, not suitable for energy scavenging. In this paper, we motivate ultranarrowband as an energy-scavenging-compatible wireless technology for low-throughput wireless sensor networks (WSNs). The ultra-narrowband approach is energy-efficient for two case scenarios. The first one is for WSNs with a large coverage area. The second case scenario is where WSN nodes experience a high level of interference from other co-existing communication systems. Two practical use cases are studied numerically, one for each case scenario. In both cases, on a node level, the link is significantly imbalanced between the transmitting and receiving sections in terms of energy consumption and data rate. However, in case of an interference-rich environment, the radiated power from the WSN base station as well as the WSN nodes is preferred to be as low as possible, thus leading to a more balanced link.","PeriodicalId":397107,"journal":{"name":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Ultra-narrowband for energy-scavenging-powered wireless sensor networks\",\"authors\":\"Mhd. Zaher Mahfouz, A. Meijerink, M. Bentum\",\"doi\":\"10.1109/PIMRC.2017.8292562\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Industrial and consumer applications, such as smart energy and e-wearables, have become a reality — thanks to the Internet of Things and wireless sensor networks — creating a billions-worth market. Very-large-scale integration combined with energy scavenging give a promising ultra-low-power, cost-effective, and environment-friendly solution for the increasing power consumption demands as tens of millions of nodes are deployed worldwide every year. Most available wireless standards are power-hungry and, therefore, not suitable for energy scavenging. In this paper, we motivate ultranarrowband as an energy-scavenging-compatible wireless technology for low-throughput wireless sensor networks (WSNs). The ultra-narrowband approach is energy-efficient for two case scenarios. The first one is for WSNs with a large coverage area. The second case scenario is where WSN nodes experience a high level of interference from other co-existing communication systems. Two practical use cases are studied numerically, one for each case scenario. In both cases, on a node level, the link is significantly imbalanced between the transmitting and receiving sections in terms of energy consumption and data rate. However, in case of an interference-rich environment, the radiated power from the WSN base station as well as the WSN nodes is preferred to be as low as possible, thus leading to a more balanced link.\",\"PeriodicalId\":397107,\"journal\":{\"name\":\"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/PIMRC.2017.8292562\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PIMRC.2017.8292562","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Ultra-narrowband for energy-scavenging-powered wireless sensor networks
Industrial and consumer applications, such as smart energy and e-wearables, have become a reality — thanks to the Internet of Things and wireless sensor networks — creating a billions-worth market. Very-large-scale integration combined with energy scavenging give a promising ultra-low-power, cost-effective, and environment-friendly solution for the increasing power consumption demands as tens of millions of nodes are deployed worldwide every year. Most available wireless standards are power-hungry and, therefore, not suitable for energy scavenging. In this paper, we motivate ultranarrowband as an energy-scavenging-compatible wireless technology for low-throughput wireless sensor networks (WSNs). The ultra-narrowband approach is energy-efficient for two case scenarios. The first one is for WSNs with a large coverage area. The second case scenario is where WSN nodes experience a high level of interference from other co-existing communication systems. Two practical use cases are studied numerically, one for each case scenario. In both cases, on a node level, the link is significantly imbalanced between the transmitting and receiving sections in terms of energy consumption and data rate. However, in case of an interference-rich environment, the radiated power from the WSN base station as well as the WSN nodes is preferred to be as low as possible, thus leading to a more balanced link.