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个人信息Personal Information
教授
博士生导师
硕士生导师
任职 : 智能计算教研室主任
性别:男
毕业院校:吉林大学
学位:博士
所在单位:计算机科学与技术学院
学科:计算机应用技术. 计算机软件与理论
办公地点:创新园大厦A820
联系方式:13304609362
电子邮箱:lucos@dlut.edu.cn
论文成果
当前位置: 姚念民欢迎报考硕博士 >> 科学研究 >> 论文成果EFAV-MERD: Expected forwarding area volume and residual distance mathematic expectation routing protocol for UASNs
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论文类型:会议论文
发表时间:2017-12-12
收录刊物:EI
卷号:10658 LNCS
页面范围:703-713
摘要:The design of routing protocols for Underwater Acoustic Sensor Networks (UASNs) has many challenges arising from long variable propagation delay, high mobility in 3D environments, limited bandwidth, energy-constraint, noise, multi-path and so on. In order to improve the reliability, reduce end-to-end delay and energy cost for UASNs, this paper presents a routing protocol based on expected forwarding area volume and mathematical expectation of residual distance to sink node, EFAV-MERD. In EFAV-MERD, next forwarding nodes are selected based on both the forwarding region volume and the expected residual distance mathematical expectation to improve transmission reliability and reduce transmission overhead. We conduct extensive simulations using NS-3 simulator to verify the effectiveness and the validity of EFAV-MERD. © Springer International Publishing AG 2017.