神经元/spl贸易/网络:一种自组织无线传感器网络

L. Hester, Yan Huang, O. Andric, A. Allen, Priscilla Chen
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引用次数: 21

摘要

介绍了一种基于低数据速率、低功耗固定传感器节点的自组织无线网络neuRFon/spl trade/ Netform。该协议利用逻辑主干架构,通过该架构,分层路由支持所有网络节点之间的数据通信。我们提出了支持自组织特征的算法。第一种算法在引入新节点时构造最优骨干。第二种算法指示节点如何交换基本信息,以在网络发展时保持最佳路由主干。第三种算法使网络能够从节点/链路故障中自动恢复。neuRFon/spl trade/ Netform设计用于与本文所述的低占空比MAC协议结合使用,以支持无线传感器的长电池寿命。为了说明neuRFon/spl交易/系统的性能,我们给出了具有64个节点的neuRFon/sup TM/系统的网络形成时间,数据包传递响应时间和传感器节点的通信占空比的仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
NeuRon/spl trade/ netform: a self-organizing wireless sensor network
This paper introduces the neuRFon/spl trade/ Netform, a self-organizing wireless network for low data rate, low-power fixed sensor nodes. The protocol utilizes a logical backbone architecture through which data communications between all the network nodes are supported by hierarchical routing. We present algorithms that underpin the self-organizing features. The first algorithm constructs the optimal backbone as new nodes are introduced. The second algorithm dictates how the nodes exchange essential information for maintaining the optimal routing backbone as the network evolves. The third algorithm enables the network to recover automatically from node/link failures. The neuRFon/spl trade/ Netform is designed to work in conjunction with a low duty cycle MAC protocol, described in this paper, in order to support long battery life for wireless sensors. To illustrate the performance of the neuRFon/spl trade/ system, we present simulation results showing network formation time, data packet delivery response time, and communication duty cycles of sensor nodes for a neuRFon/sup TM/ system with 64 nodes.
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