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首页> 外文期刊>Journal of ambient intelligence and humanized computing >The evolution of data gathering static and mobility models in underwater wireless sensor networks: a survey
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The evolution of data gathering static and mobility models in underwater wireless sensor networks: a survey

机译:水下无线传感器网络中数据收集静态和移动模型的演变:调查

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Underwater communication in underwater wireless sensor network (UWSN) is an emergent advance terminology for the discovery and monitoring of underwater resources and aquatic life. The deployed network UWSN, helps in determining the undiscovered resources like oil mines, sank ships, Bermuda triangle problem, and tectonic plate's movement inside the water. Unearthing of these resources is difficult otherwise due to their distant locations below the water. Complete and correct collection of data from test site is very important aspect for successful implementation of any UWSN. This data can be related to either living organisms or non-living resources. Data gathering/collection in underwater conditions is a tedious task due to different ambiguities, such as sensors' mobility due to water drift or ship movement, packet drop due to channel fading etc. It hinders the data gathering process through UWSNs. This article explains the concept of data gathering in UWSNs with the aid of a compressive literature survey, presents the classification of UWSNs based on routing and finding solution to the challenges faced during data gathering. Moreover, various existing data gathering approaches are analyzed through simulation in network simulator 2 (NS2). Quality of service (QoS) parameters like average energy consumption, delay, packet drop, delivery ratio is considered for simulations. Finally, the open issues and upcoming challenges requires to face during data gathering are deliberated.
机译:水下无线传感器网络(UWSN)中的水下通信是发现和监测水下资源和水生生活的紧急推进术语。部署的网络UWSN,有助于确定石油矿山,船只,百慕大三角形问题等未被发现的资源,以及水中构造板的运动。由于水下方的远处位置,否则这一资源的发掘是困难的。从测试站点完成和正确的数据集合是成功实施任何UWSN的非常重要的方面。该数据可能与生物体或非生活资源有关。水下条件中的数据收集/收集是由于不同的含糊不利,例如传感器的移动性因水漂移或船舶运动而导致的速度,由于通道衰落等的数据包下降。它阻碍了通过UWSN的数据收集过程。本文借助压缩文献调查介绍了UWSN中的数据收集的概念,介绍了基于路由的UWSNS的分类,并找到解决数据收集期间面临的挑战。此外,通过网络仿真器2(NS2)的仿真分析了各种现有数据收集方法。服务质量(QoS)参数,如平均能耗,延迟,数据包滴,交付比率被认为是模拟。最后,在数据收集期间,开放问题和即将到来的挑战是审议的。

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