{"title":"改进了基于Lzw无损压缩的蜜蜂启发路由协议","authors":"Gaganjot Kaur, Sandeep Kad","doi":"10.1109/RAECS.2015.7453386","DOIUrl":null,"url":null,"abstract":"This paper has focused entirely on Swarm Intelligence based routing protocols especially Bee-Inspired based routing protocols for providing multipath routing in Wireless ad hoc networks (WANETs). WANETs influence an agent-based routing protocol that defines numerous rules including that most the participating nodes follow. Using routing technique, nodes are interconnected jointly so for that reason reduces computational and resource costs. Swarm Intelligence uses agent-like entities from insect's societies to become metaphor to refurbish the routing problem. But it is been observed the fact that Bee-Inspired routing has not yet used compression algorithm to make use of the bandwidth in more proficient manner. Therefore this paper has proposed a LCBEEIP protocol that is utilized BEEIP protocol with the feature of Loss Less data compression. The experimental brings about the proposed technique have clearly shown the fact that proposed technique outperforms over the current techniques. The proposed method has achieved up to 99.9167 packet delivery ratio.","PeriodicalId":256314,"journal":{"name":"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Improved Bee-Inspired routing protocol using Lzw based lossless compression\",\"authors\":\"Gaganjot Kaur, Sandeep Kad\",\"doi\":\"10.1109/RAECS.2015.7453386\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper has focused entirely on Swarm Intelligence based routing protocols especially Bee-Inspired based routing protocols for providing multipath routing in Wireless ad hoc networks (WANETs). WANETs influence an agent-based routing protocol that defines numerous rules including that most the participating nodes follow. Using routing technique, nodes are interconnected jointly so for that reason reduces computational and resource costs. Swarm Intelligence uses agent-like entities from insect's societies to become metaphor to refurbish the routing problem. But it is been observed the fact that Bee-Inspired routing has not yet used compression algorithm to make use of the bandwidth in more proficient manner. Therefore this paper has proposed a LCBEEIP protocol that is utilized BEEIP protocol with the feature of Loss Less data compression. The experimental brings about the proposed technique have clearly shown the fact that proposed technique outperforms over the current techniques. The proposed method has achieved up to 99.9167 packet delivery ratio.\",\"PeriodicalId\":256314,\"journal\":{\"name\":\"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/RAECS.2015.7453386\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 2nd International Conference on Recent Advances in Engineering & Computational Sciences (RAECS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RAECS.2015.7453386","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Improved Bee-Inspired routing protocol using Lzw based lossless compression
This paper has focused entirely on Swarm Intelligence based routing protocols especially Bee-Inspired based routing protocols for providing multipath routing in Wireless ad hoc networks (WANETs). WANETs influence an agent-based routing protocol that defines numerous rules including that most the participating nodes follow. Using routing technique, nodes are interconnected jointly so for that reason reduces computational and resource costs. Swarm Intelligence uses agent-like entities from insect's societies to become metaphor to refurbish the routing problem. But it is been observed the fact that Bee-Inspired routing has not yet used compression algorithm to make use of the bandwidth in more proficient manner. Therefore this paper has proposed a LCBEEIP protocol that is utilized BEEIP protocol with the feature of Loss Less data compression. The experimental brings about the proposed technique have clearly shown the fact that proposed technique outperforms over the current techniques. The proposed method has achieved up to 99.9167 packet delivery ratio.