{"title":"Evolutionary Computation Techniques for Intelligent Computing in Commercial Mobile Adhoc Network","authors":"Kavita Taneja, Harmunish Taneja, Ramanpreet Kaur","doi":"10.47164/IJNGC.V12I2.780","DOIUrl":null,"url":null,"abstract":"Ubiquitous smart devices and applications are constructing pavement for Mobile Adhoc Networks (MANETs) that allow the users to communicate without any physical infrastructure. The immense usage of pervasive computing devices have fuelled virtual environments which have exponentially enhanced the popularity of commercial MANET. In today’s scenario, MANETs are used by each and every individual to perform even routine tasks. This extensive growth in number of users of mobile network has posed a gigantic challenge in catering needs of a huge set of varied users. To deliver Quality of Service (QoS) to users, there is a need to incorporate intelligent computing techniques in commercial MANETs. Emerging intelligent computing trends in commercial MANET are explored in this paper. It further explores the role of evolutionary computation approach in tackling commercial MANET challenges for improving its performance. Comparative analysis of evolutionary computation techniques for commercial MANET is presented in this paper.","PeriodicalId":351421,"journal":{"name":"Int. J. Next Gener. Comput.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-04-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Next Gener. Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.47164/IJNGC.V12I2.780","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
Ubiquitous smart devices and applications are constructing pavement for Mobile Adhoc Networks (MANETs) that allow the users to communicate without any physical infrastructure. The immense usage of pervasive computing devices have fuelled virtual environments which have exponentially enhanced the popularity of commercial MANET. In today’s scenario, MANETs are used by each and every individual to perform even routine tasks. This extensive growth in number of users of mobile network has posed a gigantic challenge in catering needs of a huge set of varied users. To deliver Quality of Service (QoS) to users, there is a need to incorporate intelligent computing techniques in commercial MANETs. Emerging intelligent computing trends in commercial MANET are explored in this paper. It further explores the role of evolutionary computation approach in tackling commercial MANET challenges for improving its performance. Comparative analysis of evolutionary computation techniques for commercial MANET is presented in this paper.