{"title":"使用非洲水牛延迟容忍和风险数据包跳转方法增强物联网通信","authors":"Shridhar Sanshi, D. P. Krishna, Ramesh Vatambeti","doi":"10.46300/9108.2022.16.14","DOIUrl":null,"url":null,"abstract":"The Internet of Things (IoT) is utilized in many sectors for different purpose. However, sharing the huge data to the far distance is a difficult task because of signal loss and malicious events. So, the Delay Tolerant Network (DTN) is introduced in the communication field to transfer the data to far distance. But, the DTN is vulnerable to attack because of the selfish nodes and data traffic. To overcome this problem the current research has designed a novel African Buffalo DTN with Risk Packet Jump (ABDTN-RPJ) mechanism to improve the communication channel by predicting the selfish and misbehavior node in an earlier stage. Finally, the designed paradigm is implemented in the Network simulator and the comparison results have been proved the efficiency of the proposed model by reducing the delay and drop rate.","PeriodicalId":89779,"journal":{"name":"International journal of computers in healthcare","volume":"47 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2022-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Enhancing IoT Communication using African Buffalo Delay Tolerant and Risk Packet Jump Approach\",\"authors\":\"Shridhar Sanshi, D. P. Krishna, Ramesh Vatambeti\",\"doi\":\"10.46300/9108.2022.16.14\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Internet of Things (IoT) is utilized in many sectors for different purpose. However, sharing the huge data to the far distance is a difficult task because of signal loss and malicious events. So, the Delay Tolerant Network (DTN) is introduced in the communication field to transfer the data to far distance. But, the DTN is vulnerable to attack because of the selfish nodes and data traffic. To overcome this problem the current research has designed a novel African Buffalo DTN with Risk Packet Jump (ABDTN-RPJ) mechanism to improve the communication channel by predicting the selfish and misbehavior node in an earlier stage. Finally, the designed paradigm is implemented in the Network simulator and the comparison results have been proved the efficiency of the proposed model by reducing the delay and drop rate.\",\"PeriodicalId\":89779,\"journal\":{\"name\":\"International journal of computers in healthcare\",\"volume\":\"47 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-06-28\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International journal of computers in healthcare\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.46300/9108.2022.16.14\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International journal of computers in healthcare","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.46300/9108.2022.16.14","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Enhancing IoT Communication using African Buffalo Delay Tolerant and Risk Packet Jump Approach
The Internet of Things (IoT) is utilized in many sectors for different purpose. However, sharing the huge data to the far distance is a difficult task because of signal loss and malicious events. So, the Delay Tolerant Network (DTN) is introduced in the communication field to transfer the data to far distance. But, the DTN is vulnerable to attack because of the selfish nodes and data traffic. To overcome this problem the current research has designed a novel African Buffalo DTN with Risk Packet Jump (ABDTN-RPJ) mechanism to improve the communication channel by predicting the selfish and misbehavior node in an earlier stage. Finally, the designed paradigm is implemented in the Network simulator and the comparison results have been proved the efficiency of the proposed model by reducing the delay and drop rate.