{"title":"未来战场系统的物联网(IoT)和图形数据库的结合","authors":"Gaurav Tripathi, Bhawna Sharma, S. Rajvanshi","doi":"10.1109/CCAA.2017.8230010","DOIUrl":null,"url":null,"abstract":"Internet of things (IoT) has provided a technological platform for purposeful connectivity. IoT allows smart devices and sensors to sense, connect and control the devices even remotely. The development in the field of Internet of Things has been enormous and the application of these solutions is scalable to high limits. The quantum of Internet of Things (IoT) is developing fast and is predicted to reach each and every sector of the computing world. We are already converging towards smart homes, smart highways, and smart cities. The defense sector of any nation is also affected by these developments. Defense field's solution is primarily based on sensors and their deployments. The primary aim of sensory data is the conclusion of information suitable for tactical decision and analysis in the Future battlefield environment. From capturing soldier's vital health parameters to its weapons, ammunition, location status, every data has a purposeful meaning and is of particular importance to the tactical commander sitting in the command center. We are proposing a novel mechanism to combine Internet of Things with the emerging graph database for better decision support system so as to create a situational awareness about every parameter of the soldiers in the battlefield. We present a simulated use case scenario of the future battlefield to query the graph database for situational awareness pattern for tactical advantage over the opponents.","PeriodicalId":6627,"journal":{"name":"2017 International Conference on Computing, Communication and Automation (ICCCA)","volume":"1 1","pages":"1252-1257"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"A combination of Internet of Things (IoT) and graph database for future battlefield systems\",\"authors\":\"Gaurav Tripathi, Bhawna Sharma, S. Rajvanshi\",\"doi\":\"10.1109/CCAA.2017.8230010\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Internet of things (IoT) has provided a technological platform for purposeful connectivity. IoT allows smart devices and sensors to sense, connect and control the devices even remotely. The development in the field of Internet of Things has been enormous and the application of these solutions is scalable to high limits. The quantum of Internet of Things (IoT) is developing fast and is predicted to reach each and every sector of the computing world. We are already converging towards smart homes, smart highways, and smart cities. The defense sector of any nation is also affected by these developments. Defense field's solution is primarily based on sensors and their deployments. The primary aim of sensory data is the conclusion of information suitable for tactical decision and analysis in the Future battlefield environment. From capturing soldier's vital health parameters to its weapons, ammunition, location status, every data has a purposeful meaning and is of particular importance to the tactical commander sitting in the command center. We are proposing a novel mechanism to combine Internet of Things with the emerging graph database for better decision support system so as to create a situational awareness about every parameter of the soldiers in the battlefield. We present a simulated use case scenario of the future battlefield to query the graph database for situational awareness pattern for tactical advantage over the opponents.\",\"PeriodicalId\":6627,\"journal\":{\"name\":\"2017 International Conference on Computing, Communication and Automation (ICCCA)\",\"volume\":\"1 1\",\"pages\":\"1252-1257\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-05-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 International Conference on Computing, Communication and Automation (ICCCA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CCAA.2017.8230010\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 International Conference on Computing, Communication and Automation (ICCCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CCAA.2017.8230010","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A combination of Internet of Things (IoT) and graph database for future battlefield systems
Internet of things (IoT) has provided a technological platform for purposeful connectivity. IoT allows smart devices and sensors to sense, connect and control the devices even remotely. The development in the field of Internet of Things has been enormous and the application of these solutions is scalable to high limits. The quantum of Internet of Things (IoT) is developing fast and is predicted to reach each and every sector of the computing world. We are already converging towards smart homes, smart highways, and smart cities. The defense sector of any nation is also affected by these developments. Defense field's solution is primarily based on sensors and their deployments. The primary aim of sensory data is the conclusion of information suitable for tactical decision and analysis in the Future battlefield environment. From capturing soldier's vital health parameters to its weapons, ammunition, location status, every data has a purposeful meaning and is of particular importance to the tactical commander sitting in the command center. We are proposing a novel mechanism to combine Internet of Things with the emerging graph database for better decision support system so as to create a situational awareness about every parameter of the soldiers in the battlefield. We present a simulated use case scenario of the future battlefield to query the graph database for situational awareness pattern for tactical advantage over the opponents.