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DARP: A depth adaptive routing protocol for large-scale underwater acoustic sensor networks

机译:DARP:适用于大规模水下声传感器网络的深度自适应路由协议

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Underwater acoustic sensor networks (UASNs) have attracted significant interest and been developed for a wide range of applications. Using acoustic signal for transmitting in underwater leads the effects on long propagation delay, low bandwidth, and low data rate. These characteristics result the high end-to-end delay from the sensor to a sink. In this paper, an important property of acoustic signal that the speed of acoustic signal varies with water depth has been considered to explore a new routing protocol in UASNs. This property indicates that the speed of acoustic signal becomes faster when water depth is below 1000 meters. It implies that the shortest end-to-end delay path may not be the shortest path directly form the source to the sink. Based on this property, a per-hop based routing protocol, named depth adaptive routing protocol (DARP), is proposed. DARP takes the acoustic speed in different water depth into consideration. DARP can find a shortest end-to-end delay path to transmit the data. The simulation results also verify that DARP actually reduces the end-to-end delay and outperforms other routing protocols in terms of end-to-end delay.
机译:水下声传感器网络(UASN)引起了人们的极大兴趣,并已被开发用于多种应用。使用声信号在水下传输会导致长传播延迟,低带宽和低数据速率的影响。这些特性导致从传感器到接收器的高端到端延迟。本文考虑了声信号的重要特性,即声信号的速度随水深的变化而变化,以探索一种新的UASN路由协议。此属性表明,当水深低于1000米时,声音信号的速度会加快。这意味着最短的端到端延迟路径可能不是直接形成源到宿的最短路径。基于此特性,提出了一种基于逐跳的路由协议,称为深度自适应路由协议(DARP)。 DARP考虑了不同水深处的声速。 DARP可以找到一条最短的端到端延迟路径来传输数据。仿真结果还验证了DARP实际上减少了端到端延迟,并且在端到端延迟方面优于其他路由协议。

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