【摘要】 水声传感器网络(Underwater acoustic sensor networks,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 networks,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,使得大多数适用于WSN的自组织算法难以适用于UASN。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。更多还原

【Abstract】 Usually, underwater acoustic sensor networks(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 networks(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., most self-organized algorithms for WSN are hard to apply to UASN. 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.更多还原