| 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） |
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