MOBILE SINK PATH FORMATION TO EXTEND THE NETWORK LIFETIME IN WSN

A. Mubarakali, A. Alqahtani
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引用次数: 2

Abstract

: Wireless Sensor Network (WSN) is a group of sensor nodes that is utilized to observe and record the several physical, environmental, and significant real time data.Data traffic obtained through the Base Station (BS) in WSN minimizes the energy of close sensor nodes as equated to other sensor nodes. This issue is called as hot spot issue in the WSN. But, the Mobile Sink (MS) is proposed for solving this hot spot issue in the WSN. MS is used to gather the modified information from the Cluster Head (CH) and it forward to the BS. This approach presents a Mobile Sink Path Estimation (MSPE) to extend the network lifetime in WSN. The major objective of this article is to designing a MS route to minimizing the energy utilization and delay. In this approach each CH has a threshold level of the load ahead of that if there is an inflow of data, then the node routinely forwards an Mobile Sink Route Request (MS_REQ) for assist from the MS. Depend on the requests received from all CH nodes; the MS evaluates the most appropriate region to move other position. We examine the function of MSPE approach by applying Network simulator. Simulation results demonstrate that the introduced MSPE approach has enhanced the residual energy and minimized the network delay.
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无线传感器网络中移动汇聚路径的形成以延长网络寿命
无线传感器网络(WSN)是一组传感器节点,用于观察和记录多种物理、环境和重要的实时数据。在无线传感器网络中,通过基站(Base Station, BS)获得的数据流量使距离较近的传感器节点的能量与其他传感器节点的能量相等。这种问题在无线传感器网络中被称为热点问题。为了解决无线传感器网络中的热点问题,提出了移动Sink (Mobile Sink, MS)。MS用于从簇头(CH)收集修改后的信息,并将其转发给BS。该方法提出了一种移动汇聚路径估计(MSPE)方法来延长无线传感器网络的生存期。本文的主要目标是设计一种最小化能量利用率和延迟的MS路由。在这种方法中,每个CH都有一个阈值级别的负载,如果有数据流入,那么节点通常会转发一个移动汇聚路由请求(MS_REQ),以获得ms的帮助,这取决于从所有CH节点收到的请求;MS评估最适合移动到其他位置的区域。我们通过网络模拟器来检验MSPE方法的功能。仿真结果表明,引入的MSPE方法提高了剩余能量,减小了网络延迟。
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A SYSTEMATIC VIDEO INDEXING APPROACH USING DECISION TREE CHILDHOOD MEDULLOBLASTOMA DIAGNOSIS USING MULTISCALE FRAMEWORK ETHNICITY CLASSIFICATION USING A DYNAMIC HORIZONTAL VOTING ENSEMBLE APPROACH BASED ON FINGERPRINT MOBILE SINK PATH FORMATION TO EXTEND THE NETWORK LIFETIME IN WSN BENDLET TRANSFORM BASED OBJECT DETECTION SYSTEM USING PROXIMITY LEARNING APPROACH
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