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1.青海师范大学计算机学院青海省物联网重点实验室,青海 西宁 810008
2.藏语智能信息处理及应用国家重点实验室,青海 西宁 810008
3.华北科技学院计算机学院,河北 廊坊 065201
[ "李冲(1990- ),男,河北邯郸人,青海师范大学博士生,主要研究方向为无线网络与安全等。" ]
[ "杜秀娟(1970- ),女,河北石家庄人,博士,青海师范大学教授,主要研究方向为无线网络与安全、物联网技术等。" ]
[ "王丽娟(1992- ),女,河北石家庄人,博士,青海师范大学讲师,主要研究方向为无线网络与安全等。" ]
[ "田晓静(1994- ),女,山西晋中人,青海师范大学博士生,主要研究方向为无线网络。" ]
[ "王志刚(1993- ),男,河北张家口人,博士,华北科技学院讲师,主要研究方向为无线传感器网络、智能优化算法等。" ]
收稿日期:2024-09-23,
修回日期:2025-01-02,
纸质出版日期:2025-01-25
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李冲,杜秀娟,王丽娟等.基于异常检测和AUV辅助的水下传感器网络可靠节能路由协议[J].通信学报,2025,46(01):222-238.
LI Chong,DU Xiujuan,WANG Lijuan,et al.Reliable energy-efficient routing protocol based on anomalous detection and AUV-aid for underwater sensor networks[J].Journal on Communications,2025,46(01):222-238.
李冲,杜秀娟,王丽娟等.基于异常检测和AUV辅助的水下传感器网络可靠节能路由协议[J].通信学报,2025,46(01):222-238. DOI: 10.11959/j.issn.1000-436x.2025004.
LI Chong,DU Xiujuan,WANG Lijuan,et al.Reliable energy-efficient routing protocol based on anomalous detection and AUV-aid for underwater sensor networks[J].Journal on Communications,2025,46(01):222-238. DOI: 10.11959/j.issn.1000-436x.2025004.
近年来,自治式潜水器(AUV)的快速发展,极大地扩展了水下传感器网络( UWSN)的应用。针对在移动场景下那些邻居节点少或与邻居节点的距离远的异常节点在传输数据时容易失败的问题,在改进局部离群因子(LOF)检测算法的基础上提出一种基于异常检测和AUV辅助的可靠节能路由(RERA)协议。RERA协议提出了适用于UWSN的异常节点筛选机制,筛选出的异常节点只转发时延敏感数据,对于时延不敏感的数据使用AUV辅助传输。此外,优化了遗传算法,设计了高效的AUV路径规划算法。同时,为了避免无序的数据传输导致的冲突,引入一种AUV辅助传输调度规则。仿真实验验证了优化遗传算法的性能和AUV的辅助性能,并与现有的协议进行了比较。结果表明,RERA协议在AUV覆盖率、AUV航行时间、数据交付率、能耗等方面均表现出较优的性能。
In recent years
the rapid development of autonomous underwater vehicle (AUV) has greatly expanded the applications of underwater sensor network(UWSN). In view of the problem that data transmission of abnormal nodes with few or far neighbors in mobile underwater scenarios was prone to fail
a reliable energy-efficient routing (RERA) protocol based on an improved local outlier factor (LOF) detection and AUV-aided was proposed for UWSN. In the RERA protocol
an anomalous node screening mechanism was designed for UWSN. The screened anomalous nodes only forward delay-sensitive data
and delay-insensitive data was transported with the assist of AUV. In addition
the genetic algorithm was further improved and an efficient AUV path planning algorithm was designed. Meanwhile
to avoid the collision caused by disordered data transmission
an AUV-aid transmission scheduling rule was introduced. Simulation results show that
compared with existing AUV-based protocols
the RERA protocol exhibits better performance in terms of AUV coverage
AUV sailing time
data delivery rate
and energy consumption.
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