{"title":"5G网络上的无线传感器网络","authors":"V. M, Iskandar, Hendrawan, M. S. Arifianto","doi":"10.1109/ICWT.2018.8527724","DOIUrl":null,"url":null,"abstract":"5G cellular network business is changed by the development of technology and socio economic transformation and is expected to send information quickly and support many cases from various applications. Massive Internet of Things (IoT) is one of cases on 5G network. This includes Massive Machine Type Communication (mMTC). Wireless Sensor Network (WSN) for monitoring and sensing is one of the mMTC application. Limited power of each sensor node is the constrain aspect of WSN usage. In WSN, energy efficiency becomes an important issue. Routing is a function in WSN, which consumes substantial amount of energy. One of the routing protocols that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this paper, Base Station (BS) and High Altitude Platform (HAP) are used as sink node. Type of waveform used to support the WSN system on a 5G network is Universal Filtered Multi Carrier (UFMC). The purpose of this simulation is to compare WSN systems using BS's and HAP's. Performance indicators that we evaluated are energy consumption and channel capacity. From a series of simulations conducted, the results obtained show WSN systems using HAP's, the consumption energy are more efficient than WSN systems using BS's. Capacity channel of the WSN systems using HAP's is greater than the WSN systems using BS's. It is more efficient using HAP's as a sink node in the WSN systems.","PeriodicalId":356888,"journal":{"name":"2018 4th International Conference on Wireless and Telematics (ICWT)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"Wireless Sensor Network on 5G Network\",\"authors\":\"V. M, Iskandar, Hendrawan, M. S. Arifianto\",\"doi\":\"10.1109/ICWT.2018.8527724\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"5G cellular network business is changed by the development of technology and socio economic transformation and is expected to send information quickly and support many cases from various applications. Massive Internet of Things (IoT) is one of cases on 5G network. This includes Massive Machine Type Communication (mMTC). Wireless Sensor Network (WSN) for monitoring and sensing is one of the mMTC application. Limited power of each sensor node is the constrain aspect of WSN usage. In WSN, energy efficiency becomes an important issue. Routing is a function in WSN, which consumes substantial amount of energy. One of the routing protocols that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this paper, Base Station (BS) and High Altitude Platform (HAP) are used as sink node. Type of waveform used to support the WSN system on a 5G network is Universal Filtered Multi Carrier (UFMC). The purpose of this simulation is to compare WSN systems using BS's and HAP's. Performance indicators that we evaluated are energy consumption and channel capacity. From a series of simulations conducted, the results obtained show WSN systems using HAP's, the consumption energy are more efficient than WSN systems using BS's. Capacity channel of the WSN systems using HAP's is greater than the WSN systems using BS's. It is more efficient using HAP's as a sink node in the WSN systems.\",\"PeriodicalId\":356888,\"journal\":{\"name\":\"2018 4th International Conference on Wireless and Telematics (ICWT)\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 4th International Conference on Wireless and Telematics (ICWT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICWT.2018.8527724\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 4th International Conference on Wireless and Telematics (ICWT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICWT.2018.8527724","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
5G cellular network business is changed by the development of technology and socio economic transformation and is expected to send information quickly and support many cases from various applications. Massive Internet of Things (IoT) is one of cases on 5G network. This includes Massive Machine Type Communication (mMTC). Wireless Sensor Network (WSN) for monitoring and sensing is one of the mMTC application. Limited power of each sensor node is the constrain aspect of WSN usage. In WSN, energy efficiency becomes an important issue. Routing is a function in WSN, which consumes substantial amount of energy. One of the routing protocols that can increase the energy efficiency of WSN is Low Energy Adaptive Clustering Hierarchy (LEACH). In this paper, Base Station (BS) and High Altitude Platform (HAP) are used as sink node. Type of waveform used to support the WSN system on a 5G network is Universal Filtered Multi Carrier (UFMC). The purpose of this simulation is to compare WSN systems using BS's and HAP's. Performance indicators that we evaluated are energy consumption and channel capacity. From a series of simulations conducted, the results obtained show WSN systems using HAP's, the consumption energy are more efficient than WSN systems using BS's. Capacity channel of the WSN systems using HAP's is greater than the WSN systems using BS's. It is more efficient using HAP's as a sink node in the WSN systems.