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适用于水声传感器网络的混合路由协议

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针对水声传感器网络中静态节点与移动节点不同路由设计需求,分析确定性路由和机会路由的特点,提出一种适用于水声传感器网络的混合路由协议(HRP-USN),将水声传感器网络区分为静态节点和移动节点开展设计.静态节点路由协议融合静态路由和动态路由优点,路由建立过程手动配置路由表,路由维护和重建过程采用联合MAC层反馈及聚焦转发控制的方式,兼顾自组织性和协议复杂性;移动节点采用机会路由,将数据以单跳方式发送到静态节点,自适应确定最优中继节点后按照已有路由传输到网关节点,利用水声信道广播特性,提升网络弱通信条件下数据包投递率.通过仿真分析,在不同节点移动速度和误码率条件下,HRP-USN数据包投递率明显优于其他传统路由协议,更加适合水声传感器网络.
Hybrid Routing Protocol for Underwater Sensor Networks
Considering the different routing requirements of static nodes and mobile nodes in underwater acoustic sensor networks,the paper analyzed the characteristics of deterministic routing and opportunistic routing protocol,and proposed a hybrid routing protocol for underwater sensor networks(HRP-USN),which divided the underwater sensor networks into static nodes and mobile nodes for design.The routing protocol of static nodes combined the advantages of static routing and dynamic routing,configured the routing table manual-ly in the routing establishment,and used the MAC layer feedback and route-focusing forwarding control to maintain and reestablish the route,taking into account the self-organization and complexity of protocol.The mobile nodes adopted opportunistic routing,sent data to the static nodes in a single-hop way,then adaptively determine the optimal relay nodes to transmit to the gateway nodes according to the existing routing,using the broadcast characteristics of the underwater acoustic channel to improve the packet delivery rate under weak communication conditions.The simulation results show that under different node movement speeds and bit error rates,the packet deliv-ery rate of HRP-USN is significantly better than other traditional routing protocols.HRP-USN is more suitable for underwater sensor networks.

underwater sensor networkshybrid routing protocolstatic nodesmobile nodesdeterministic routing protocolopportunistic routing protocol

郭卫振、朱敏、杨波

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中国科学院声学研究所 海洋声学技术实验室 北京 100190

中国科学院大学 北京 100049

北京市海洋声学装备工程技术研究中心 北京 100190

中国科学院声学研究所 声场声信息国家重点实验室 北京 100190

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水声传感器网络 混合路由协议 静态节点 移动节点 确定性路由 机会路由

国家重点研发计划

2022YFC2806001

2024

网络新媒体技术
中国科学院声学研究所

网络新媒体技术

CSTPCD
影响因子:0.208
ISSN:2095-347X
年,卷(期):2024.13(3)
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