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UWSNs中基于深度的抑制空洞路由优化算法
引用本文:潘永东. UWSNs中基于深度的抑制空洞路由优化算法[J]. 传感器与微系统, 2017, 36(11). DOI: 10.13873/J.1000-9787(2017)11-0139-04
作者姓名:潘永东
作者单位:南京理工大学计算机工程学院,江苏南京,211169
基金项目:江苏省软科学研究计划资助项目
摘    要:针对传统的水下无线传感器网络(UWSNs)的位置路由存在路由空洞问题,提出了基于深度的抑制空洞路由(DSVR)的UWSNs路由协议.DSVR协议通过融合跳数、物理距离和邻居数多个指标决策路由.为了提高通信可靠和缓解路由空洞,DSVR协议选择具有最小跳数路径、最少邻居数的节点作为下一跳转发节点.同时,DSVR协议利用定时器抑制冗余数据包.仿真结果表明:提出的DSVR协议能有效地提高数据包传递率,并降低端到端传输时延以及能耗.

关 键 词:水下无线传感器网络  路由  空洞路由  能耗  深度

Depth-based suppressing void routing optimal algorithm in UWSNs
PAN Yong-dong. Depth-based suppressing void routing optimal algorithm in UWSNs[J]. Transducer and Microsystem Technology, 2017, 36(11). DOI: 10.13873/J.1000-9787(2017)11-0139-04
Authors:PAN Yong-dong
Abstract:Aiming at problem that in underwater wireless sensor networks (UWSNs ),traditional geographic routing exists routing void,depth-based suppressing void routing(DSVR)for UWSNs is proposed. DSVR protocol makes a routing decision by taking into account multiple metrics including hop-count,physical distance and number of neighbors. In order to improve the reliability of communication and eliminate routing void,DSVR protocol selects the nodes with the minimum hop count and the minimum number of neighbors as the next hop forwarding node. At the same time,the DSVR protocol uses timers to suppress redundant data packets. Simulation results show that proposed DSVR protocol improves packet delivery ratio reduce end-to-end delay and energy consumption.
Keywords:underwater wireless sensor networks(UWSNs)  routing  void routing  energy consumption  depth
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