{"title":"移动传感器网络的集成分析方法","authors":"N. Meghanathan","doi":"10.1504/ijmndi.2019.10029889","DOIUrl":null,"url":null,"abstract":"Mobile sensor networks (MSNs) are characteristic of dynamically changing topology due to node mobility. The traditional least overhead routing approach (LORA) to simulate MSNs cannot be applied to quantitatively assess measures of complex network analysis (like assortativity): for example, the assortativity index of one network snapshot need not be the assortativity index of another network snapshot. In this paper, we propose an 'ensemble' approach to collect the underlying information (like the degrees of the end vertices of the links) of the network snapshots over a period of time, and assess the targeted analytical measure (like assortativity index) of the MSN on this ensemble data that will be a representative of the topological changes over the entire simulation time period. The ensemble approach abstracts the node and edge ids and uses only the actual node-level metric values as the basis to calculate the network-level metric of interest.","PeriodicalId":35022,"journal":{"name":"International Journal of Mobile Network Design and Innovation","volume":"30 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An ensemble approach to analyse mobile sensor networks\",\"authors\":\"N. Meghanathan\",\"doi\":\"10.1504/ijmndi.2019.10029889\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mobile sensor networks (MSNs) are characteristic of dynamically changing topology due to node mobility. The traditional least overhead routing approach (LORA) to simulate MSNs cannot be applied to quantitatively assess measures of complex network analysis (like assortativity): for example, the assortativity index of one network snapshot need not be the assortativity index of another network snapshot. In this paper, we propose an 'ensemble' approach to collect the underlying information (like the degrees of the end vertices of the links) of the network snapshots over a period of time, and assess the targeted analytical measure (like assortativity index) of the MSN on this ensemble data that will be a representative of the topological changes over the entire simulation time period. The ensemble approach abstracts the node and edge ids and uses only the actual node-level metric values as the basis to calculate the network-level metric of interest.\",\"PeriodicalId\":35022,\"journal\":{\"name\":\"International Journal of Mobile Network Design and Innovation\",\"volume\":\"30 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Mobile Network Design and Innovation\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1504/ijmndi.2019.10029889\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Business, Management and Accounting\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Mobile Network Design and Innovation","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/ijmndi.2019.10029889","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Business, Management and Accounting","Score":null,"Total":0}
An ensemble approach to analyse mobile sensor networks
Mobile sensor networks (MSNs) are characteristic of dynamically changing topology due to node mobility. The traditional least overhead routing approach (LORA) to simulate MSNs cannot be applied to quantitatively assess measures of complex network analysis (like assortativity): for example, the assortativity index of one network snapshot need not be the assortativity index of another network snapshot. In this paper, we propose an 'ensemble' approach to collect the underlying information (like the degrees of the end vertices of the links) of the network snapshots over a period of time, and assess the targeted analytical measure (like assortativity index) of the MSN on this ensemble data that will be a representative of the topological changes over the entire simulation time period. The ensemble approach abstracts the node and edge ids and uses only the actual node-level metric values as the basis to calculate the network-level metric of interest.
期刊介绍:
The IJMNDI addresses the state-of-the-art in computerisation for the deployment and operation of current and future wireless networks. Following the trend in many other engineering disciplines, intelligent and automatic computer software has become the critical factor for obtaining high performance network solutions that meet the objectives of both the network subscriber and operator. Characteristically, high performance and innovative techniques are required to address computationally intensive radio engineering planning problems while providing optimised solutions and knowledge which will enhance the deployment and operation of expensive wireless resources.