{"title":"水下传感器网络中磁感应继电器的三维部署","authors":"Sai Wang, Y. Shin","doi":"10.1109/ICOIN.2019.8718105","DOIUrl":null,"url":null,"abstract":"Magnetic induction (MI) communication is a promising technology for underwater sensor networks (UWSNs) due to several benefits such as small transmission delay and multipath fading negligibility. However, the majority deployment strategies of the MI relays focus on 1D and 2D networks. In this paper, a optimal relay deployment algorithm is proposed to deploy the relay nodes in the 3D UWSN. To balance the number of sensor nodes in each clustering space, the K-means algorithm is used to divide the network space. In addition, the locations of the relay nodes are important for saving energy. To solve this issue, we adopt a gradient descent algorithm to find the optimal coordinates of the relay nodes. Numerical analysis shows that the proposed algorithm is a practical deployment strategy.","PeriodicalId":422041,"journal":{"name":"2019 International Conference on Information Networking (ICOIN)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"3D- Deployment of Magnetic Induction Relays in Underwater Sensor Networks\",\"authors\":\"Sai Wang, Y. Shin\",\"doi\":\"10.1109/ICOIN.2019.8718105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Magnetic induction (MI) communication is a promising technology for underwater sensor networks (UWSNs) due to several benefits such as small transmission delay and multipath fading negligibility. However, the majority deployment strategies of the MI relays focus on 1D and 2D networks. In this paper, a optimal relay deployment algorithm is proposed to deploy the relay nodes in the 3D UWSN. To balance the number of sensor nodes in each clustering space, the K-means algorithm is used to divide the network space. In addition, the locations of the relay nodes are important for saving energy. To solve this issue, we adopt a gradient descent algorithm to find the optimal coordinates of the relay nodes. Numerical analysis shows that the proposed algorithm is a practical deployment strategy.\",\"PeriodicalId\":422041,\"journal\":{\"name\":\"2019 International Conference on Information Networking (ICOIN)\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 International Conference on Information Networking (ICOIN)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICOIN.2019.8718105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 International Conference on Information Networking (ICOIN)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICOIN.2019.8718105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
3D- Deployment of Magnetic Induction Relays in Underwater Sensor Networks
Magnetic induction (MI) communication is a promising technology for underwater sensor networks (UWSNs) due to several benefits such as small transmission delay and multipath fading negligibility. However, the majority deployment strategies of the MI relays focus on 1D and 2D networks. In this paper, a optimal relay deployment algorithm is proposed to deploy the relay nodes in the 3D UWSN. To balance the number of sensor nodes in each clustering space, the K-means algorithm is used to divide the network space. In addition, the locations of the relay nodes are important for saving energy. To solve this issue, we adopt a gradient descent algorithm to find the optimal coordinates of the relay nodes. Numerical analysis shows that the proposed algorithm is a practical deployment strategy.