S. Sahoo, Chinmay Kumar Nayak, S. K. Pattnaik, S. Samal, S. Bandopadhaya, J. Das
{"title":"基于自动QoS的MANET组播通信系统","authors":"S. Sahoo, Chinmay Kumar Nayak, S. K. Pattnaik, S. Samal, S. Bandopadhaya, J. Das","doi":"10.1109/SPICSCON54707.2021.9885474","DOIUrl":null,"url":null,"abstract":"In this proposed work, safe routing is guaranteed using the Secured Multicast Routing offered in MANET by utilizing the Ant Colony Optimization (ACO) technique to integrate the QOS-conscious route setup into the route selection. This implies that only the data transmission may select the way to meet the QoS limitations from source to destination. Furthermore, the track reliability is considered by selecting the best path between the source and destination nodes. For the optimization of the best path and its performance, the optimized algorithm called the micro artificial bee colony approach is chosen about the probabilistic ant routing technique. The experimental analysis is carried out in the NS2.34 simulation model and this concludes that the proposed system contributes to increased performance and improved safety.","PeriodicalId":159505,"journal":{"name":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","volume":"2015 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Automatic QoS Based Multicast Communication System in MANET\",\"authors\":\"S. Sahoo, Chinmay Kumar Nayak, S. K. Pattnaik, S. Samal, S. Bandopadhaya, J. Das\",\"doi\":\"10.1109/SPICSCON54707.2021.9885474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this proposed work, safe routing is guaranteed using the Secured Multicast Routing offered in MANET by utilizing the Ant Colony Optimization (ACO) technique to integrate the QOS-conscious route setup into the route selection. This implies that only the data transmission may select the way to meet the QoS limitations from source to destination. Furthermore, the track reliability is considered by selecting the best path between the source and destination nodes. For the optimization of the best path and its performance, the optimized algorithm called the micro artificial bee colony approach is chosen about the probabilistic ant routing technique. The experimental analysis is carried out in the NS2.34 simulation model and this concludes that the proposed system contributes to increased performance and improved safety.\",\"PeriodicalId\":159505,\"journal\":{\"name\":\"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)\",\"volume\":\"2015 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-12-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SPICSCON54707.2021.9885474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Signal Processing, Information, Communication & Systems (SPICSCON)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SPICSCON54707.2021.9885474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Automatic QoS Based Multicast Communication System in MANET
In this proposed work, safe routing is guaranteed using the Secured Multicast Routing offered in MANET by utilizing the Ant Colony Optimization (ACO) technique to integrate the QOS-conscious route setup into the route selection. This implies that only the data transmission may select the way to meet the QoS limitations from source to destination. Furthermore, the track reliability is considered by selecting the best path between the source and destination nodes. For the optimization of the best path and its performance, the optimized algorithm called the micro artificial bee colony approach is chosen about the probabilistic ant routing technique. The experimental analysis is carried out in the NS2.34 simulation model and this concludes that the proposed system contributes to increased performance and improved safety.