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基于链接预测的水下WSN消息转发算法
引用本文:刘林峰,向阳,吴家皋.基于链接预测的水下WSN消息转发算法[J].软件学报,2022,33(2):664-682.
作者姓名:刘林峰  向阳  吴家皋
作者单位:南京邮电大学 计算机学院, 江苏 南京 210023;江苏省大数据安全与智能处理重点实验室, 江苏 南京 210023
基金项目:国家自然科学基金(61872191); 江苏省“六大人才高峰”高层次人才项目(2019-XYDXX-247)
摘    要:随着移动自组织网络的发展以及为了更加便捷地监测和探索水下环境,水下无线传感器网络开始出现并逐渐受到研究人员的重视.水下无线传感器网络可广泛应用于海洋环境监测、资源开采、水下生物研究、海难搜救等诸多水下场景.与传统的无线传感器网络不同,通常,水下无线传感器网络中存在锚定节点和移动节点两种类型的节点,并且由于水声通信的不规...

关 键 词:水下无线传感器网络  链接预测  相似性指标  时空共同邻居  边缘计算
收稿时间:2020/3/24 0:00:00
修稿时间:2020/5/19 0:00:00

Message Dissemination Algorithm Based on Link Prediction in Underwater Wireless Sensor Networks
LIU Lin-Feng,XIANG Yang,WU Jia-Gao.Message Dissemination Algorithm Based on Link Prediction in Underwater Wireless Sensor Networks[J].Journal of Software,2022,33(2):664-682.
Authors:LIU Lin-Feng  XIANG Yang  WU Jia-Gao
Affiliation:School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing 210023, China;Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing 210023, China
Abstract:With the development of various mobile ad hoc networks, and in order to monitor and explore the underwater environments conveniently, underwater wireless sensor networks (UWSNs) have emerged and attracted the increasing attentions of researchers. UWSNs can be widely utilized in many underwater scenarios such as marine environment monitoring, resource exploitation, underwater biological research, shipwreck search, underwater rescue, and so on. A UWSN is significantly different from the traditional wireless sensor networks, due to the irregularity of underwater acoustic communications and the complexity of underwater environments. Moreover, a UWSN is usually composed of two types of nodes: Anchored nodes and mobile nodes. All these bring some new challenges to the technique of message dissemination in UWSNs, such as the complex movements of nodes and the uncertain future links. Therefore, a reasonable message dissemination algorithm for UWSNs will be helpful to improve the data transmission efficiency. According to the characteristics of UWSN topologies, this study applies a link prediction method for the message dissemination, and an index of spatial-temporal common neighbors is specially introduced to analyze the potential links between nodes. In addition, compared with the mobile nodes, each anchored node typically has a larger communication range and a stronger computing power, and thus each anchored node can play the role of an edge computing server to further improve the link prediction results. Finally, the next-hop relay nodes can be selected according to the obtained link prediction results. Simulation results show that the proposed algorithm can improve the delivery ratio and reduce the propagation delay of data messages while the number of forwarded message copies is confined.
Keywords:underwater wireless sensor networks (UWSNs)  link prediction  similarity index  spatial-temporal common neighbors  edge computing
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