{"title":"S-RARE; a Simplified Receiver Assisted Routing Protocol for Ad-Hoc Networks","authors":"Y. Abdelmalek, Osama Hussien, T. Saadawi","doi":"10.1109/AICT.2008.67","DOIUrl":null,"url":null,"abstract":"A simplified receiver assisted routing enhancement (S-RARE) protocol is proposed. The S-RARE technique is a generic add-on middleware to MANET routing algorithms. A simplified mathematical model is presented using the probabilistic technique. In this paper, we used the principle of the biologically inspired ant routing technique as example to implement the S- RARE algorithm. The similarities and differences between S-RARE and the traditional ant technique have been highlighted. The S-RARE quickly finds a path between the source and destination with low overhead. S-RARE technique performs better in highly dynamic network topology. The performance of the proposed S-RARE is simulated and compared to the traditional ant in radio network model (random graph model). The simulation results show the significant improvement when S-RARE technique is set up as add-on module on top of traditional ant work.","PeriodicalId":105735,"journal":{"name":"2008 Fourth Advanced International Conference on Telecommunications","volume":"05 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Fourth Advanced International Conference on Telecommunications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/AICT.2008.67","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
A simplified receiver assisted routing enhancement (S-RARE) protocol is proposed. The S-RARE technique is a generic add-on middleware to MANET routing algorithms. A simplified mathematical model is presented using the probabilistic technique. In this paper, we used the principle of the biologically inspired ant routing technique as example to implement the S- RARE algorithm. The similarities and differences between S-RARE and the traditional ant technique have been highlighted. The S-RARE quickly finds a path between the source and destination with low overhead. S-RARE technique performs better in highly dynamic network topology. The performance of the proposed S-RARE is simulated and compared to the traditional ant in radio network model (random graph model). The simulation results show the significant improvement when S-RARE technique is set up as add-on module on top of traditional ant work.