文章摘要
肖东,魏丽萍,陈庚,陈岩,马力.用于水声传感器网络自组织的询问式泛洪广播算法[J].,2015,34(1):58-64
用于水声传感器网络自组织的询问式泛洪广播算法
Inquiring flooding broadcast algorithm for underwater acoustic sensor self-organization network
投稿时间:2014-02-12  修订日期:2014-12-30
中文摘要:
      水声传感器网络(Underwater acoustic sensor network,UASN)通常由随机散布的传感器节点组成。需要通过自组织算法将这些节点组成具有一定功能的网络。目前,已有较多成熟的用于陆地无线传感器网络(Wireless sensor network,WSN)的自组织算法。但水声通信中存在的严重的传播损失、较高的背景噪声、有限的通信带宽、较长的传播时延、复杂的多途信道等,使得UASN与WSN有所不同,大多数适用于WSN的自组织算法难以适用于UASN。例如,在OPNET软件仿真中,将泛洪式自组织算法运用于UASN时发现,需要较长时间才能建立起有效的网络,即每一个节点都可以被其他节点访问到。本文提出了一种改进的自组织算法,在简单泛洪广播算法中附加一段询问过程。通过OPNET仿真证明了在相同的条件下,相比于简单泛洪与概率泛洪广播算法,本算法可以在较短的时间内建立起有效路由,降低了水声网络在自组织阶段的能量消耗。
英文摘要:
      Usually, underwater acoustic sensor network ( UASN) is constructed by randomly deployed sensor nodes. In order to construct network of certain functions with these nodes, self-organization algorithm is needed. There are many self-organization algorithms for wireless sensor network ( WSN) onshore. But in underwater acoustic communication, the phenomena, such as: severe attenuation, high background noise, limited bandwidth, long time delay, complicated multi-path, etc., make UASN different from WSN. Most self-organized algorithms for WSN are hard to apply to UASN. For example, in OPNET simulation of flooding self-organization algorithm in UASN, it takes an unreasonable long time to establish an effective network, which means each node could be accessed by others. An improved self-organization algorithm is proposed, which appends an inquiry process to flooding self-organization algorithm. It is proved by OPNET simulation that under the same conditions the network could be successfully established by the improved self-organization algorithm in a shorter time compared with simple flooding and probabilistic flooding algorithms , and the energy consumed in organization period is decreased.
DOI:10.11684/j.issn.1000-310X.2015.01.009
中文关键词: 水声传感器网络,自组织算法,泛洪广播
英文关键词: Underwater  Acoustic Sensor  Network, Self-Organization  Algorithm, Flooding Broadcast
基金项目:(61302109);国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位E-mail
肖东 中国科学院水声环境特性重点实验室 北京 xiaodong@mail.ioa.ac.cn 
魏丽萍 中国科学院水声环境特性重点实验室 北京 weilping@163.com 
陈庚 中国科学院水声环境特性重点实验室 北京 gengchen333@gmail.com 
陈岩 中国科学院水声环境特性重点实验室 北京 rockchn@yahoo.com.cn 
马力 中国科学院水声环境特性重点实验室 北京 mary1968@sohu.com 
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