{"title":"使用无线传感器的环境监测:模拟方法","authors":"B. Hardas, G. Asutkar, K. Kulat","doi":"10.1109/ICETET.2008.198","DOIUrl":null,"url":null,"abstract":"Environmental monitoring is an area of significant research in the field of wireless sensor networks. It has the potential to reveal fine-grained, dynamic changes in monitored variables of an outdoor landscape. A network of sensor nodes spread across a field has the capacity to provide temporal and spatial data regarding the properties of the environment. For example, sensor networks could provide precise information about crops with respect to the soil quality and water content, enabling better irrigation schedules, pesticide usage and enhancing environment protection. The current paper presents a snapshot of sensor network, which can be deployed to monitor vital properties like temperature, relative humidity & soil moisture and then report them through a routing tree to a base station for further analysis. The minimum delay scheduling algorithm is discussed & compared with V-blast algorithm. It has been observed that the later one gives the precise results to monitor an environment. The importance of monitoring our physical environment has never been higher. Many groups - from agricultural operators to natural resource developers to biological researchers to homeland security - all need to make reliable, sensitive measurements in remote or dispersed locations. Some of the harshest and most demanding applications are- irrigation management ,harvest timing ,bio-remediation and containment, water quality measurement and control . In this paper, the parameter that we have taken is environmental temperature.","PeriodicalId":269929,"journal":{"name":"2008 First International Conference on Emerging Trends in Engineering and Technology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-07-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":"{\"title\":\"Environmental Monitoring Using Wireless Sensors: A Simulation Approach\",\"authors\":\"B. Hardas, G. Asutkar, K. Kulat\",\"doi\":\"10.1109/ICETET.2008.198\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Environmental monitoring is an area of significant research in the field of wireless sensor networks. It has the potential to reveal fine-grained, dynamic changes in monitored variables of an outdoor landscape. A network of sensor nodes spread across a field has the capacity to provide temporal and spatial data regarding the properties of the environment. For example, sensor networks could provide precise information about crops with respect to the soil quality and water content, enabling better irrigation schedules, pesticide usage and enhancing environment protection. The current paper presents a snapshot of sensor network, which can be deployed to monitor vital properties like temperature, relative humidity & soil moisture and then report them through a routing tree to a base station for further analysis. The minimum delay scheduling algorithm is discussed & compared with V-blast algorithm. It has been observed that the later one gives the precise results to monitor an environment. The importance of monitoring our physical environment has never been higher. Many groups - from agricultural operators to natural resource developers to biological researchers to homeland security - all need to make reliable, sensitive measurements in remote or dispersed locations. Some of the harshest and most demanding applications are- irrigation management ,harvest timing ,bio-remediation and containment, water quality measurement and control . In this paper, the parameter that we have taken is environmental temperature.\",\"PeriodicalId\":269929,\"journal\":{\"name\":\"2008 First International Conference on Emerging Trends in Engineering and Technology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-07-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"14\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 First International Conference on Emerging Trends in Engineering and Technology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICETET.2008.198\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 First International Conference on Emerging Trends in Engineering and Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICETET.2008.198","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Environmental Monitoring Using Wireless Sensors: A Simulation Approach
Environmental monitoring is an area of significant research in the field of wireless sensor networks. It has the potential to reveal fine-grained, dynamic changes in monitored variables of an outdoor landscape. A network of sensor nodes spread across a field has the capacity to provide temporal and spatial data regarding the properties of the environment. For example, sensor networks could provide precise information about crops with respect to the soil quality and water content, enabling better irrigation schedules, pesticide usage and enhancing environment protection. The current paper presents a snapshot of sensor network, which can be deployed to monitor vital properties like temperature, relative humidity & soil moisture and then report them through a routing tree to a base station for further analysis. The minimum delay scheduling algorithm is discussed & compared with V-blast algorithm. It has been observed that the later one gives the precise results to monitor an environment. The importance of monitoring our physical environment has never been higher. Many groups - from agricultural operators to natural resource developers to biological researchers to homeland security - all need to make reliable, sensitive measurements in remote or dispersed locations. Some of the harshest and most demanding applications are- irrigation management ,harvest timing ,bio-remediation and containment, water quality measurement and control . In this paper, the parameter that we have taken is environmental temperature.