Evolutionary Computation Techniques for Intelligent Computing in Commercial Mobile Adhoc Network

Kavita Taneja, Harmunish Taneja, Ramanpreet Kaur
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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.
商用移动自组网中智能计算的进化计算技术
无处不在的智能设备和应用正在为移动自组网(manet)构建道路,使用户可以在没有任何物理基础设施的情况下进行通信。普适计算设备的大量使用推动了虚拟环境的发展,从而成倍地提高了商用MANET的普及程度。在今天的情况下,每个人都使用manet来执行日常任务。移动网络用户数量的广泛增长对满足大量不同用户的需求构成了巨大的挑战。为了向用户提供服务质量(QoS),需要在商用manet中结合智能计算技术。本文探讨了商用MANET中新兴的智能计算趋势。进一步探讨了进化计算方法在解决商用MANET挑战中的作用,以提高其性能。本文对商用MANET的进化计算技术进行了比较分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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