{"title":"传感器节点协助DTN进行灾后场景","authors":"A. Gupta, J. K. Mandal, Indrajit Bhattacharya","doi":"10.1145/3288599.3295590","DOIUrl":null,"url":null,"abstract":"A Delay Tolerant Network being a facilitator of communication establishment in heterogeneous networking environments may present an efficient solution of communication in a Wireless Sensor Network that may exist within the ambit of the DTN. WSNs may be found easily in a DTN like those temporarily created using sensor-deployment over drowned places or villages, etc. Collecting information from those cut-off areas is of utmost importance to provide efficient rescue and relief operation. Current work suggests distributing Delsar Life Detection Sensors for probing such cut-off areas for tracing of struck or trapped life. Localization techniques have been used to locate the exact positions of the victims so that appropriate help could be administered to them with efficiency. At the time of distributing the sensors, one or two tag sensors with high power are positioned strategically in the cut-off areas that collect data from the sensors and from where data is further collected using some data mules. The results have been obtained both over simulation in the NS2 simulator and over a practical field implementation. Results suggest that the proposed architecture is able to predict presence of life with more than 70 percent accuracy. This shows that the proposed novel solution to WSN assisted DTN is practicable and efficient for implementation during disasters to communicate with cut-off and far-off remote areas.","PeriodicalId":346177,"journal":{"name":"Proceedings of the 20th International Conference on Distributed Computing and Networking","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-01-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Sensor node assisted DTN for a post-disaster scenario\",\"authors\":\"A. Gupta, J. K. Mandal, Indrajit Bhattacharya\",\"doi\":\"10.1145/3288599.3295590\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"A Delay Tolerant Network being a facilitator of communication establishment in heterogeneous networking environments may present an efficient solution of communication in a Wireless Sensor Network that may exist within the ambit of the DTN. WSNs may be found easily in a DTN like those temporarily created using sensor-deployment over drowned places or villages, etc. Collecting information from those cut-off areas is of utmost importance to provide efficient rescue and relief operation. Current work suggests distributing Delsar Life Detection Sensors for probing such cut-off areas for tracing of struck or trapped life. Localization techniques have been used to locate the exact positions of the victims so that appropriate help could be administered to them with efficiency. At the time of distributing the sensors, one or two tag sensors with high power are positioned strategically in the cut-off areas that collect data from the sensors and from where data is further collected using some data mules. The results have been obtained both over simulation in the NS2 simulator and over a practical field implementation. Results suggest that the proposed architecture is able to predict presence of life with more than 70 percent accuracy. This shows that the proposed novel solution to WSN assisted DTN is practicable and efficient for implementation during disasters to communicate with cut-off and far-off remote areas.\",\"PeriodicalId\":346177,\"journal\":{\"name\":\"Proceedings of the 20th International Conference on Distributed Computing and Networking\",\"volume\":\"86 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-01-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 20th International Conference on Distributed Computing and Networking\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3288599.3295590\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 20th International Conference on Distributed Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3288599.3295590","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor node assisted DTN for a post-disaster scenario
A Delay Tolerant Network being a facilitator of communication establishment in heterogeneous networking environments may present an efficient solution of communication in a Wireless Sensor Network that may exist within the ambit of the DTN. WSNs may be found easily in a DTN like those temporarily created using sensor-deployment over drowned places or villages, etc. Collecting information from those cut-off areas is of utmost importance to provide efficient rescue and relief operation. Current work suggests distributing Delsar Life Detection Sensors for probing such cut-off areas for tracing of struck or trapped life. Localization techniques have been used to locate the exact positions of the victims so that appropriate help could be administered to them with efficiency. At the time of distributing the sensors, one or two tag sensors with high power are positioned strategically in the cut-off areas that collect data from the sensors and from where data is further collected using some data mules. The results have been obtained both over simulation in the NS2 simulator and over a practical field implementation. Results suggest that the proposed architecture is able to predict presence of life with more than 70 percent accuracy. This shows that the proposed novel solution to WSN assisted DTN is practicable and efficient for implementation during disasters to communicate with cut-off and far-off remote areas.