Rahim Rashidi, Farugh Katani, Saeid Usefpour, Faroogh Ashkooti
{"title":"A FC2TA model for congestion management in confidence AODV protocol","authors":"Rahim Rashidi, Farugh Katani, Saeid Usefpour, Faroogh Ashkooti","doi":"10.1109/ICAICT.2016.7991716","DOIUrl":null,"url":null,"abstract":"Ad-hoc networks, as well as many wireless networks and wired networks applied here to do and the proper function of routing data packets forwarding, maintenance and update routing information, the security need. Mobile ad hoc networks due to the special properties of operations and placement of often unstructured meshes, or self-organizing ad-hoc networks are known. In these networks in order to extend the communication range of nodes, more than a step, configure routing algorithms are used. In fact, security was a prerequisite for the proper functioning of network operations and without it there is no guarantee for the proper conduct of the exercise and Attackers can easily disrupt the integrity of the network. The trust model proposed by Pirzada and his colleagues route based on at least step is not created. It will be nodes in the path which other nodes are more confident, the old Confidence models can be use that have three part of the Confidence section, Share section and Merge section. So there are high chances of congestion in nodes with confidence. In AODV routing protocol congestion management is vital, so in this paper, a FC2TA model is presented. The FC2TA model increase nodes energy, network stability and balancing on the nodes that have high confidence. Here we apply the FC2TA model to the latest version of AODV. Because of that these protocols constantly improving and now in the development phase. The simulation model is done in Fuzzy Logic Tools in MATLAB.","PeriodicalId":446472,"journal":{"name":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE 10th International Conference on Application of Information and Communication Technologies (AICT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAICT.2016.7991716","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
Ad-hoc networks, as well as many wireless networks and wired networks applied here to do and the proper function of routing data packets forwarding, maintenance and update routing information, the security need. Mobile ad hoc networks due to the special properties of operations and placement of often unstructured meshes, or self-organizing ad-hoc networks are known. In these networks in order to extend the communication range of nodes, more than a step, configure routing algorithms are used. In fact, security was a prerequisite for the proper functioning of network operations and without it there is no guarantee for the proper conduct of the exercise and Attackers can easily disrupt the integrity of the network. The trust model proposed by Pirzada and his colleagues route based on at least step is not created. It will be nodes in the path which other nodes are more confident, the old Confidence models can be use that have three part of the Confidence section, Share section and Merge section. So there are high chances of congestion in nodes with confidence. In AODV routing protocol congestion management is vital, so in this paper, a FC2TA model is presented. The FC2TA model increase nodes energy, network stability and balancing on the nodes that have high confidence. Here we apply the FC2TA model to the latest version of AODV. Because of that these protocols constantly improving and now in the development phase. The simulation model is done in Fuzzy Logic Tools in MATLAB.