S. Suman, S. Porselvi, L. Bhagyalakshmi, Dhananjay Kumar
{"title":"Game theoretical approach for improving throughput capacity in wireless ad hoc networks","authors":"S. Suman, S. Porselvi, L. Bhagyalakshmi, Dhananjay Kumar","doi":"10.1109/ICRTIT.2014.6996152","DOIUrl":null,"url":null,"abstract":"In wireless ad hoc networks, Quality of Service (QoS) can be obtained efficiently using the power control scheme. Power control can be achieved by incorporating cooperation among the available links. In this paper, we propose an adaptive pricing scheme that enables the nodes in the networks to determine the maximum allowable power that can be used for transmission of data within the networks so as to avoid inducing interference in the other links that exist in the networks. Each node calculates the total power which, when used for data transmission with the other nodes would obtain Nash Equilibrium (NE) for the utility function. This in turn contributes to maximize the frequency reuse and thereby improves throughput capacity. Numerical results prove that the overall throughput of the network is improved under this scheme.","PeriodicalId":422275,"journal":{"name":"2014 International Conference on Recent Trends in Information Technology","volume":"108 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on Recent Trends in Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRTIT.2014.6996152","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
In wireless ad hoc networks, Quality of Service (QoS) can be obtained efficiently using the power control scheme. Power control can be achieved by incorporating cooperation among the available links. In this paper, we propose an adaptive pricing scheme that enables the nodes in the networks to determine the maximum allowable power that can be used for transmission of data within the networks so as to avoid inducing interference in the other links that exist in the networks. Each node calculates the total power which, when used for data transmission with the other nodes would obtain Nash Equilibrium (NE) for the utility function. This in turn contributes to maximize the frequency reuse and thereby improves throughput capacity. Numerical results prove that the overall throughput of the network is improved under this scheme.