{"title":"ACO and CLD Techniques in MANETs to Design Adaptable Protocols","authors":"Sadanand Inamdar, B. Sathish Babu, R. Yadahalli","doi":"10.1109/ICAECC.2018.8479509","DOIUrl":null,"url":null,"abstract":"Mobile Ad hoc Networks (MANETs) envisioned as battlefield application of wireless networks build cooperation in a multi-hop fashion between limited powered mobile nodes to prove inter-communication with one another. In self-configuring and self-organizing nature MANETs, designing adaptive protocols is a great challenge. Remarkably flexible natured bio-inspired algorithms and new design approach of cross layer interactions meet the needs of adaptability in MANET’s protocols. The adaptable protocol’s performance depends on accuracy of calculation and acquisition of network conditions. This paper proposes ant based technique to estimate the network conditions. Cross layer interactions enable optimization in end- to-end delay using network conditions like node density and traffic intensity parameters. Simulation study shows that adaptive management of protocols in MANETs has improved performance even at high data transmission rates, and for larger number of nodes.","PeriodicalId":106991,"journal":{"name":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 Second International Conference on Advances in Electronics, Computers and Communications (ICAECC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAECC.2018.8479509","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
Mobile Ad hoc Networks (MANETs) envisioned as battlefield application of wireless networks build cooperation in a multi-hop fashion between limited powered mobile nodes to prove inter-communication with one another. In self-configuring and self-organizing nature MANETs, designing adaptive protocols is a great challenge. Remarkably flexible natured bio-inspired algorithms and new design approach of cross layer interactions meet the needs of adaptability in MANET’s protocols. The adaptable protocol’s performance depends on accuracy of calculation and acquisition of network conditions. This paper proposes ant based technique to estimate the network conditions. Cross layer interactions enable optimization in end- to-end delay using network conditions like node density and traffic intensity parameters. Simulation study shows that adaptive management of protocols in MANETs has improved performance even at high data transmission rates, and for larger number of nodes.