基于蚁群优化的水下传感器网络路由

Shikha Singhal, Shairal Tanwar, Aishwarya, Adwitiya Sinha
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引用次数: 1

摘要

显然,地球三分之二的面积被水体覆盖,其中海洋覆盖对陆地生物产生了深远的影响。海洋形成了雄伟的资源,大多数令人惊叹的海洋生物和自然资源,特别是矿物油。这使得水下监测成为最需要探索的领域之一。为了监测海洋层,采用了一种特殊形式的传感器网络,即水声传感器网络。水下研究从各种各样的基于应用的研究中脱颖而出,包括协同海底勘探、海军监视和其他海洋采矿和工程任务。我们的研究重点是介绍声传感器网络的结构和应用概况,这些网络具有显著的特点和挑战。此外,我们提出了智能声路由的蚁群优化算法,并根据产生的延迟对其性能进行建模。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ant Colony Optimization based Routing for Underwater Sensor Network
Apparently, two-thirds of our planet is covered by water bodies, of which oceanic coverage deeply impacts the terrestrial life. Oceans form majestic resource of most of the amazing marine creatures and natural resources, especially mineral oil. This makes underwater monitoring one of the most demanding areas to explore. For monitoring the oceanic layer, a specialized form of sensor network is employed, known as Underwater Acoustic Sensor Network. Underwater research draws eminence from a wide variety of application-based research, including collaborative undersea exploration, naval surveillance and other oceanographic mining and engineering tasks. Our research is focused on presenting survey of architecture and applications of acoustic sensor networks abided by significant characteristics and challenges. Further, we have proposed Ant-Colony Optimization for intelligent acoustic routing and model its performance in terms of delay incurred.
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