Evaluating the impact of limited resource on the performance of flooding in wireless sensor networks

Patrick Downey, R. Cardell-Oliver
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引用次数: 21

Abstract

Wireless sensor networks (WSNs) are large collections of resource limited nodes, densely deployed over a landscape. They gather and disseminate local data using multi-hop broadcasting. WSN design and deployment is hampered by currently limited knowledge of the performance characteristics of network nodes and protocols. Their systematic development, thus, requires a flexible simulation environment in which new models of specific node or network behaviours can be integrated easily. This paper introduces a loosely coupled, object oriented simulation environment for this task. The simulator is used to investigate the efficiency of flooding protocols in WSNs. For dense networks with noisy transmission, we show that using low transmission power maximizes time and resource efficiency and that the scalability of flooding for large networks is excellent. We demonstrate ways of improving flooding performance given specific deployment constraints.
评估有限资源对无线传感器网络中泛洪性能的影响
无线传感器网络(wsn)是资源有限的节点的大型集合,密集地部署在一个景观上。它们使用多跳广播收集和传播本地数据。无线传感器网络的设计和部署受到目前有限的网络节点和协议的性能特征知识的阻碍。因此,它们的系统开发需要一个灵活的仿真环境,在这个环境中,特定节点或网络行为的新模型可以很容易地集成。本文介绍了一个松耦合的、面向对象的仿真环境。该模拟器用于研究WSNs中泛洪协议的效率。对于具有噪声传输的密集网络,我们表明使用低传输功率可以最大限度地提高时间和资源效率,并且对于大型网络,泛洪的可扩展性非常好。我们演示了在特定部署约束下改善驱油性能的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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