Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557201
Naixin Cui, Guo Luo, S. Du
Yushu Tibetan Autonomous Prefecture (Yushu Prefecture), located in the Qinghai-Tibet Plateau area, is one of the areas sensitive to global climate change. Due to impacts from climate change and human disturbance, the vegetation of grassland in the study area has been degrading dramatically, and the desertification of land has been expanding rapidly. Based on remote sensing images and statistical data, this paper focused on analyzing the distribution characteristics of grassland landscape pattern in Yushu Tibetan Autonomous Prefecture from 1995 to 2015, and the spatial-temporal differentiation characteristics of grassland landscape under the influence of elevation and slope topographic factors. Also, we combined GIS and GeoDa software to analyze spatial autocorrelation relationship of grassland landscape distribution in the source region of the Yangtze River. The results indicated that: (1) Both the slope and altitude gradient factors can affect the distribution type of grassland. (2) Three kinds of grassland change revealed different spatial-temporal variations. From the vertical perspective of time passing on, human activities would control the grassland distribution pattern based on original terrain factors. From the vertical perspective of altitude or slope, climate conditions would decide the grassland distribution. Terrain factors have direct effect on local climate conditions. (3) Grassland distribution and terrain conditions have significant spatial autocorrelation. Altitude and slope have absolutely different spatial relationship.
{"title":"Analysis of Spatial-Temporal Variation of Grassland Landscape Pattern Based on Terrain Factors in Qinghai Yushu Tibetan Autonomous Prefecture, China","authors":"Naixin Cui, Guo Luo, S. Du","doi":"10.1109/GEOINFORMATICS.2018.8557201","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557201","url":null,"abstract":"Yushu Tibetan Autonomous Prefecture (Yushu Prefecture), located in the Qinghai-Tibet Plateau area, is one of the areas sensitive to global climate change. Due to impacts from climate change and human disturbance, the vegetation of grassland in the study area has been degrading dramatically, and the desertification of land has been expanding rapidly. Based on remote sensing images and statistical data, this paper focused on analyzing the distribution characteristics of grassland landscape pattern in Yushu Tibetan Autonomous Prefecture from 1995 to 2015, and the spatial-temporal differentiation characteristics of grassland landscape under the influence of elevation and slope topographic factors. Also, we combined GIS and GeoDa software to analyze spatial autocorrelation relationship of grassland landscape distribution in the source region of the Yangtze River. The results indicated that: (1) Both the slope and altitude gradient factors can affect the distribution type of grassland. (2) Three kinds of grassland change revealed different spatial-temporal variations. From the vertical perspective of time passing on, human activities would control the grassland distribution pattern based on original terrain factors. From the vertical perspective of altitude or slope, climate conditions would decide the grassland distribution. Terrain factors have direct effect on local climate conditions. (3) Grassland distribution and terrain conditions have significant spatial autocorrelation. Altitude and slope have absolutely different spatial relationship.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"174 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122101699","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557044
Zixuan Han, Zijian Wan, Wanyi Guo, Chang Ren
The individual trajectory of human activity collected through crowdsourcing implies the characteristic regularity of individual activity. There are always data gaps, and it introduces negative influence of individual activity pattern analyses. By extracting the internal regularity of known data, the incomplete relationship between location and time can be imputed and reconstructed. In this paper, a method of trajectory reconstruction based on individual behavior pattern and Hidden Semi-Markov Model (HSMM) is presented. It introduces behavior state variables and a discrete representation of locations to facilitate explanation of real-world meaning of the model parameters in individual daily activities. In HSMM, the interaction between various parameters imitates the behavior state transition and spatiotemporal variation. The relationship between the individual locations and behavior states is captured as an individual activity pattern. This pattern is used to derive individual state change sequence in the studied period of time. The state sequence can be resolved to obtain the final individual activity trajectory. Experiment on an individual track data set including Weibo check-ins and mobile phone GPS records showed that the accuracy of the trajectory reconstruction was 84.2%.
{"title":"Reconstructing Individual Activity Trajectories by Hidden Semi-Markov Model","authors":"Zixuan Han, Zijian Wan, Wanyi Guo, Chang Ren","doi":"10.1109/GEOINFORMATICS.2018.8557044","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557044","url":null,"abstract":"The individual trajectory of human activity collected through crowdsourcing implies the characteristic regularity of individual activity. There are always data gaps, and it introduces negative influence of individual activity pattern analyses. By extracting the internal regularity of known data, the incomplete relationship between location and time can be imputed and reconstructed. In this paper, a method of trajectory reconstruction based on individual behavior pattern and Hidden Semi-Markov Model (HSMM) is presented. It introduces behavior state variables and a discrete representation of locations to facilitate explanation of real-world meaning of the model parameters in individual daily activities. In HSMM, the interaction between various parameters imitates the behavior state transition and spatiotemporal variation. The relationship between the individual locations and behavior states is captured as an individual activity pattern. This pattern is used to derive individual state change sequence in the studied period of time. The state sequence can be resolved to obtain the final individual activity trajectory. Experiment on an individual track data set including Weibo check-ins and mobile phone GPS records showed that the accuracy of the trajectory reconstruction was 84.2%.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127951213","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557099
Junxiang Zhu, Peng Wang, Xiangyu Wang
Building Information Modelling (BIM) could provide detailed 3D building models to Geographic Information Systems (GISs) for the emerging studies in smart cities/digital cities. During information exchange, Industry Foundation Classes (IFC) containing rich building information is the most used data format in BIM. However, GIS does not the capacity to directly consume the data in IFC due to data incompatibility between the two systems. Consequently, IFC files have to be transformed into a format that is accessible to GIS. Shapefile is one of them, given its popularity in geospatial science. This study tests the different formats and methods for transforming IFC to shapefile, assesses their performance, in order to offer a ranking, from which better decisions could be made when choosing an appropriate intermediate data format. The results show direct transformation from IFC to shapefile retained the most geometry and semantic information. If the direct transformation method does not work in some cases, 3DS, VRML, or SKP could be used as alternatives to retain most of the information, while DWG, DXF, KML, and KMZ should not be considered due to their poor performance in the test.
建筑信息模型(BIM)可以为地理信息系统(gis)提供详细的三维建筑模型，用于智能城市/数字城市的新兴研究。在信息交换过程中，包含丰富建筑信息的IFC (Industry Foundation Classes)是BIM中使用最多的数据格式。然而，由于两个系统之间的数据不兼容，GIS不具备直接使用IFC数据的能力。因此，国际金融公司的文件必须转换成地理信息系统可以使用的格式。Shapefile就是其中之一，因为它在地理空间科学中很受欢迎。本研究测试了将IFC转换为shapefile的不同格式和方法，评估了它们的性能，以便提供一个排名，以便在选择适当的中间数据格式时做出更好的决策。结果表明，从IFC到shapefile的直接转换保留了最多的几何和语义信息。如果直接转换方法在某些情况下不起作用，可以使用3DS, VRML或SKP作为替代方法来保留大部分信息，而DWG, DXF, KML和KMZ由于在测试中的性能较差而不应考虑。
{"title":"An Assessment of Paths for Transforming IFC to Shapefile for Integration of BIM and GIS","authors":"Junxiang Zhu, Peng Wang, Xiangyu Wang","doi":"10.1109/GEOINFORMATICS.2018.8557099","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557099","url":null,"abstract":"Building Information Modelling (BIM) could provide detailed 3D building models to Geographic Information Systems (GISs) for the emerging studies in smart cities/digital cities. During information exchange, Industry Foundation Classes (IFC) containing rich building information is the most used data format in BIM. However, GIS does not the capacity to directly consume the data in IFC due to data incompatibility between the two systems. Consequently, IFC files have to be transformed into a format that is accessible to GIS. Shapefile is one of them, given its popularity in geospatial science. This study tests the different formats and methods for transforming IFC to shapefile, assesses their performance, in order to offer a ranking, from which better decisions could be made when choosing an appropriate intermediate data format. The results show direct transformation from IFC to shapefile retained the most geometry and semantic information. If the direct transformation method does not work in some cases, 3DS, VRML, or SKP could be used as alternatives to retain most of the information, while DWG, DXF, KML, and KMZ should not be considered due to their poor performance in the test.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"89 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130408125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557088
Yi Yan, Tao Cheng
Rock tunnel is a kind of large-scale infrastructure with long-term investment cycle and complex technologies, involving a number of participants. Aiming at a large number of hydrogeological data in the project, establishing a standard description of unified information and sharing mechanism can effectively solve the problem of serious data loss and low information utilization rate. At present, rock tunnels are lack of unified standards for hydrogeological data. This paper takes the Laoying tunnel of Yunnan Province as the background to design a rock tunnel hydrogeological information model. The purpose is to unify the storage and transmission of data and solve the problem of file format incompatibility between different softwares in tunnel engineering. In addition, this paper proposes a new groundwater table estimation method, which has higher accuracy than the traditional method of using borehole data to interpolate, and thus can further optimize the hydrogeological information model.
{"title":"Design of Hydrogeological Information Model for Rock Tunnel","authors":"Yi Yan, Tao Cheng","doi":"10.1109/GEOINFORMATICS.2018.8557088","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557088","url":null,"abstract":"Rock tunnel is a kind of large-scale infrastructure with long-term investment cycle and complex technologies, involving a number of participants. Aiming at a large number of hydrogeological data in the project, establishing a standard description of unified information and sharing mechanism can effectively solve the problem of serious data loss and low information utilization rate. At present, rock tunnels are lack of unified standards for hydrogeological data. This paper takes the Laoying tunnel of Yunnan Province as the background to design a rock tunnel hydrogeological information model. The purpose is to unify the storage and transmission of data and solve the problem of file format incompatibility between different softwares in tunnel engineering. In addition, this paper proposes a new groundwater table estimation method, which has higher accuracy than the traditional method of using borehole data to interpolate, and thus can further optimize the hydrogeological information model.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130666788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557060
Zhong-Chang Chen, Shu Xia
With the development of human society, tourism has become one of the strongest and largest industries in the global economy. Finance, as the core area of the economy, has played a major role in supporting and promoting the development of tourism. With the continuous expansion of financial market and tourism market, tourism finance has become a hot area of research. Along with the advent of the era of big data and the maturation of technology of the internet, this paper aims to discuss the past and status quo of the research on China's tourism finance over the past thirty-seven years and give views on its future work
{"title":"The Research on China's Tourism Finance in the Past Thirty-Seven Years","authors":"Zhong-Chang Chen, Shu Xia","doi":"10.1109/GEOINFORMATICS.2018.8557060","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557060","url":null,"abstract":"With the development of human society, tourism has become one of the strongest and largest industries in the global economy. Finance, as the core area of the economy, has played a major role in supporting and promoting the development of tourism. With the continuous expansion of financial market and tourism market, tourism finance has become a hot area of research. Along with the advent of the era of big data and the maturation of technology of the internet, this paper aims to discuss the past and status quo of the research on China's tourism finance over the past thirty-seven years and give views on its future work","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"35 5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128384701","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557193
Wenfei Xi, Dongsheng Li, Jingshan Li, Zhen Ling
High resolution images can be obtained by using UAV technology. In order to obtain high precision homographic matrix and to improve image matching efficiency, this paper improves RANSAC algorithm, eliminates match gross error through by adding image gray level information. Then the root mean square error is used to evaluate quality of image matching. In order to verify the reliability of the algorithm, a series of buildings images were taken to test the algorithm. The results show that rate of gross error match points elimination was increased by 7.45%, and the new algorithm had a small root mean square error, which increased the accuracy significantly.
{"title":"Research on an Improved Algorithm for Eliminating Gross Error in UAV Image Mosaic","authors":"Wenfei Xi, Dongsheng Li, Jingshan Li, Zhen Ling","doi":"10.1109/GEOINFORMATICS.2018.8557193","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557193","url":null,"abstract":"High resolution images can be obtained by using UAV technology. In order to obtain high precision homographic matrix and to improve image matching efficiency, this paper improves RANSAC algorithm, eliminates match gross error through by adding image gray level information. Then the root mean square error is used to evaluate quality of image matching. In order to verify the reliability of the algorithm, a series of buildings images were taken to test the algorithm. The results show that rate of gross error match points elimination was increased by 7.45%, and the new algorithm had a small root mean square error, which increased the accuracy significantly.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127747753","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557112
Xiaolong Li, Jiajia Zhang, Jiangpeng Guo
Industrial land is an important part of urban resources, and extensive development can seriously hinder the process of urbanization. In order to meet the demand for larger-scale and higher-quality urban economic growth using limited land resources, the current status of industrial land utilization should be fully understood. In this paper, the formula for calculating the intensive utilization potential of land resources is selected to establish a GIS model. Using the model to calculate and analyze 156 industrial parcels in Wenzhou High-tech Industrial Park from four aspects: building volume ratio, investment intensity, land output intensity, and the comprehensive potential. Through these methods, the intensive use of land of each enterprise is obtained. This article takes the individual company as the research unit, and the conclusions can describe the intensive use of each enterprise's land, which facilitates the determination of responsibilities and implementation of remediation measures.
{"title":"Analysis of Intensive Utilization Potential of Industrial Land at Enterprise Scale","authors":"Xiaolong Li, Jiajia Zhang, Jiangpeng Guo","doi":"10.1109/GEOINFORMATICS.2018.8557112","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557112","url":null,"abstract":"Industrial land is an important part of urban resources, and extensive development can seriously hinder the process of urbanization. In order to meet the demand for larger-scale and higher-quality urban economic growth using limited land resources, the current status of industrial land utilization should be fully understood. In this paper, the formula for calculating the intensive utilization potential of land resources is selected to establish a GIS model. Using the model to calculate and analyze 156 industrial parcels in Wenzhou High-tech Industrial Park from four aspects: building volume ratio, investment intensity, land output intensity, and the comprehensive potential. Through these methods, the intensive use of land of each enterprise is obtained. This article takes the individual company as the research unit, and the conclusions can describe the intensive use of each enterprise's land, which facilitates the determination of responsibilities and implementation of remediation measures.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122552496","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557132
Wuyang Hong
In recent years, the development of a high-speed railway has become an important influencing factor in the process of regional pattern changes in China. Strengthening traffic accessibility has the most direct impact on regional development. As a case study, Nanjing, an urban agglomeration transportation hub of the high-speed railway in South Jiangsu, was selected as the object of this research. In this study, we conducted the cumulative cost distance algorithm in geographic information system (GIS) to construct the accessibility evaluation model based on minimum distance partition, which helps to analyze the effect on the accessibility pattern of regional central cities in urban agglomerations scale. The results indicated that the high-speed railways increased regional space-time contraction and reduced the time cost between areas to improve the overall level of regional accessibility. Time costs of each node to Nanjing diminished slightly, and the accessibility gap narrowed gradually. More cities achieve cross-city day flow and result in Urban Integration effect which can be profound influence on the economic and spatial structure. Furthermore, HSR services are intended to be medium-and long-distance connections as the isochronous rings of 90 min and 120 min significantly expanded the scope. Also, the improvement of accessibility by high-speed railway has the Hourglass Effect according to city scale.
{"title":"Time Accessibility Pattern Changes in Response to New Fast Transportation Mode: Approaches and Applications","authors":"Wuyang Hong","doi":"10.1109/GEOINFORMATICS.2018.8557132","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557132","url":null,"abstract":"In recent years, the development of a high-speed railway has become an important influencing factor in the process of regional pattern changes in China. Strengthening traffic accessibility has the most direct impact on regional development. As a case study, Nanjing, an urban agglomeration transportation hub of the high-speed railway in South Jiangsu, was selected as the object of this research. In this study, we conducted the cumulative cost distance algorithm in geographic information system (GIS) to construct the accessibility evaluation model based on minimum distance partition, which helps to analyze the effect on the accessibility pattern of regional central cities in urban agglomerations scale. The results indicated that the high-speed railways increased regional space-time contraction and reduced the time cost between areas to improve the overall level of regional accessibility. Time costs of each node to Nanjing diminished slightly, and the accessibility gap narrowed gradually. More cities achieve cross-city day flow and result in Urban Integration effect which can be profound influence on the economic and spatial structure. Furthermore, HSR services are intended to be medium-and long-distance connections as the isochronous rings of 90 min and 120 min significantly expanded the scope. Also, the improvement of accessibility by high-speed railway has the Hourglass Effect according to city scale.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122373014","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557150
Wanjing Zhao, Yang Yang, Kun Yang
Remote sensing image registration plays an essential role in agriculture and military fields, it has been widely used in agriculture and urban land use planning, military damage assessment, and environmental monitoring, etc. In this paper, we propose an image registration method based on multiple features and parameter optimization. Which has a contribution, the parameter $L$ is optimized in the local feature. And we optimize the parameter in different registration modes to promote the registration accurate. We evaluated the performances of the proposed method by a series of remote sensing images from Google Earth, and compared with five state-of-the-art methods. Where our method shows the best alignments in most scenarios.
{"title":"Remote Sensing Image Registration with Multiple Features and Parameter Optimization","authors":"Wanjing Zhao, Yang Yang, Kun Yang","doi":"10.1109/GEOINFORMATICS.2018.8557150","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557150","url":null,"abstract":"Remote sensing image registration plays an essential role in agriculture and military fields, it has been widely used in agriculture and urban land use planning, military damage assessment, and environmental monitoring, etc. In this paper, we propose an image registration method based on multiple features and parameter optimization. Which has a contribution, the parameter $L$ is optimized in the local feature. And we optimize the parameter in different registration modes to promote the registration accurate. We evaluated the performances of the proposed method by a series of remote sensing images from Google Earth, and compared with five state-of-the-art methods. Where our method shows the best alignments in most scenarios.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121296970","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2018-06-01DOI: 10.1109/GEOINFORMATICS.2018.8557199
Yaming Zhang, Yan Liu, Jianhou Gan
Localization is one of the most critical issues in wireless sensor networks (WSNs). An important research direction within localization is to develop schemes by using optimization methods. In this paper, invasive weed optimization (IWO) algorithm is used for the field of WSNs localization. Furthermore, two measures are proposed to improve the performance of algorithm. Firstly, the idea of proactive estimation is put forward and used to narrow down and restrict the feasible solution space, which helps to speed up the global search. Then, an adaptive standard deviation (SD) is presented to replace the constant SD in the original IWO, which helps the algorithm to improve the convergence speed, and make it more exploitive. Results show that the proposed localization algorithm achieves higher accuracy with lower network costs and energy consumption compared to the existing schemes.
{"title":"A Novel Localization Algorithm Based on Invasive Weed Optimization in Wireless Sensor Networks","authors":"Yaming Zhang, Yan Liu, Jianhou Gan","doi":"10.1109/GEOINFORMATICS.2018.8557199","DOIUrl":"https://doi.org/10.1109/GEOINFORMATICS.2018.8557199","url":null,"abstract":"Localization is one of the most critical issues in wireless sensor networks (WSNs). An important research direction within localization is to develop schemes by using optimization methods. In this paper, invasive weed optimization (IWO) algorithm is used for the field of WSNs localization. Furthermore, two measures are proposed to improve the performance of algorithm. Firstly, the idea of proactive estimation is put forward and used to narrow down and restrict the feasible solution space, which helps to speed up the global search. Then, an adaptive standard deviation (SD) is presented to replace the constant SD in the original IWO, which helps the algorithm to improve the convergence speed, and make it more exploitive. Results show that the proposed localization algorithm achieves higher accuracy with lower network costs and energy consumption compared to the existing schemes.","PeriodicalId":142380,"journal":{"name":"2018 26th International Conference on Geoinformatics","volume":"90 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117169590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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