稀疏水声无线传感器网络的能量感知路由协议

Muhsin Hassanu Saleh, Haifa Takruri, N. Linge
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引用次数: 4

摘要

技术变革的快速变化带来了网络通信设备的变化。水下物联网(IoUT)的出现使得利用水下设备对水下环境进行自主监测成为可能。水声无线传感器网络(UAWSNs)由于支持较长的传输距离,被广泛应用于实现水下通信技术(IoUT)。但是,它们存在一定的局限性,包括节点移动性、多径衰落、传播延迟、有限带宽和传感器节点有限电池。参与通信过程的传感器节点依赖于电池,这使得更换或充电变得繁重。这些传感器节点之间的通信过程依赖于路由。网络规模通过评估对基站的通信量,起到传感器节点间节能的作用。因此,本文提出了一种基于自组织按需距离矢量(AODV)路由协议的稀疏网络节能路由协议,命名为adov -稀疏水声路由协议(AODV- suarp)。针对传统的AODV和矢量基转发(VBF)路由协议,利用Aquasim-NG对NS-3进行了AODV- suarp仿真。仿真结果表明,在不同节点数量下,AODV- suarp在能耗和包接收方面都优于AODV和VBF路由协议
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Energy aware routing protocol for sparse underwater acoustic wireless sensor network
Rapid changes in technological transformation have brought about changes for devices involved in network communication. The emergence of internet of underwater things (IoUT) has led to an autonomous monitoring of underwater environment using underwater devices. Underwater acoustic wireless sensor networks (UAWSNs) are widely used enabling underwater communication technology for (IoUT) as they support longer transmission range. However, they suffer from certain limitations which consist of node mobility, multi path fading, propagation delay, limited bandwidth and sensor nodes limited battery. Sensor nodes involved in the communication process are battery dependent which makes it burdensome to replace or recharge. The communication procedure between these sensor nodes relies on routing. Network scale plays a role in energy conservation among sensor nodes by assessing the volume of communication to base station. As a result, this paper proposes an energy efficient routing protocol for sparse network using ad-hoc on-demand distance vector (AODV) routing protocol named as ADOV-sparse underwater acoustic routing protocol (AODV-SUARP). AODV-SUARP was simulated using Aquasim-NG for NS-3 against the conventional AODV and vector base forwarding (VBF) routing protocols. Simulation result shows AODV-SUARP outperforms AODV and VBF routing protocols in terms of energy consumption and packet received for different number of nodes
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