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A Distributed Storage Model for Sensor Networks

机译:传感器网络的分布式存储模型

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摘要

In this paper we present a novel efficient, simple, local, memoryless and deterministic storage aggregation model for large wireless sensor networks (WSNs). Our goal is to maximize the system storage utilization. While normally most of WSN systems have a vast amount of global storage reserves, their storage capacity may not be fully explored due to the fact that each sensor individually has a very limited low storage capacity. We suggest an aggregated storage model that overcomes this drawback of low individual storage capacity. Our model constructs "on-demand" distributed storage chains (DSCs) which search for available un-occupied storage space inside WSNs. Those chains are constructed via deterministic geographic walks; however, their behavior resembles random walks. Simulation has revealed that the proposed storage distribution model is capable of maximizing utilization of WSN storage capacity as well as maintaining network loads geographically uniformly distributed.
机译:在本文中,我们为大型无线传感器网络(WSN)提供了一种新颖,高效,简单,本地,无内存和确定性的存储聚合模型。我们的目标是最大程度地提高系统存储利用率。虽然通常大多数WSN系统都有大量的全球存储储备,但是由于每个传感器的存储容量非常有限,因此可能无法充分利用其存储容量。我们建议使用聚合存储模型来克服单个存储容量低的缺点。我们的模型构建“按需”分布式存储链(DSC),以搜索WSN内部可用的未占用存储空间。这些链条是通过确定性的地理走行构造的;但是,它们的行为类似于随机游走。仿真表明,提出的存储分布模型能够最大程度地利用WSN存储容量,并保持网络负载在地理上均匀分布。

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