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首页> 外文期刊>International Journal of Computer Networks & Communications >Fuzzy Based Clustering and Energy Efficient Routing for Underwater Wireless Sensor Networks
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Fuzzy Based Clustering and Energy Efficient Routing for Underwater Wireless Sensor Networks

机译:水下无线传感器网络的基于模糊聚类和节能路由

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摘要

Underwater Wireless Sensor Network (UWSN) is a particular kind of sensor networks which ischaracterized by using acoustic channels for communication. UWSN is challenged by great issues speciallythe energy supply of sensor node which can be wasted rapidly by several factors. The most proposedrouting protocols for terrestrial sensor networks are not adequate for UWSN, thus new design of routingprotocols must be adapted to this constrain. In this paper we propose two new clustering algorithms basedon Fuzzy C-Means mechanisms. In the first proposition, the cluster head is elected initially based on thecloseness to the center of the cluster, then the node having the higher residual energy elects itself as acluster head. All non-cluster head nodes transmit sensed data to the cluster head. This latter performs dataaggregation and transmits the data directly to the base station. The second algorithm uses the sameprinciple in forming clusters and electing cluster heads but operates in multi-hop mode to forward datafrom cluster heads to the underwater sink (uw-sink). Furthermore the two proposed algorithms are testedfor static and dynamic deployment. Simulation results demonstrate the effectiveness of the proposedalgorithms resulting in an extension of the network lifetime.
机译:水下无线传感器网络(UWSN)是一种特殊的传感器网络,其特征在于使用声学通道进行通信。 UWSN面临着重大问题的挑战,特别是传感器节点的能源供应可能会因多种因素而迅速浪费。用于地面传感器网络的最提议的路由协议不足以支持UWSN,因此必须对路由协议的新设计进行调整。在本文中,我们提出了两种基于模糊C均值机制的新聚类算法。在第一个命题中,首先根据与群集中心的距离来选择群集头,然后,具有较高剩余能量的节点将自己选举为群集头。所有非群集头节点都将感测到的数据传输到群集头。后者执行数据聚合并将数据直接发送到基站。第二种算法在形成群集和选举群集头时使用相同的原理,但是以多跳模式运行,以将数据从群集头转发到水下水槽(uw-sink)。此外,对两种提出的算法进行了静态和动态部署测试。仿真结果证明了所提出算法的有效性,从而延长了网络寿命。

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