Transmit energy calculation in cross-correlation based underwater network cardinality estimation

2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE) Pub Date : 2015-12-01 DOI:10.1109/WIECON-ECE.2015.7443938

S. Chowdhury, J. E. Giti, M. S. Anower

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引用次数: 2

Abstract

Transmit energy is a very important performance indicator of network cardinality estimation techniques. It is more significant for underwater networks as battery lifetime of nodes depend on it. To overcome the difficulty of underwater network cardinality estimation (in presence of large propagation latency, high error rate, node mobility, non-negligible capture effect and high path loss) using existing methods based on protocols, a cross-correlation based approach has been introduced. In this approach, the transmitted Gaussian signals from all nodes are received by the sensors and then cross-correlated. Here, sensors are referred to as receiving nodes, whereas nodes are considered as transmitting nodes. It is necessary to determine the total transmit energy required to perform estimation. An expression has been developed in this paper to calculate the energy required for Gaussian signal transmission in corss-correlation based cardinality estimation scheme and verified by simulation.

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基于互相关的水下网络基数估计中传输能量的计算

在网络基数估计技术中，传输能量是一个非常重要的性能指标。对于水下网络来说，这一点尤为重要，因为节点的电池寿命取决于此。为了克服现有的基于协议的水下网络基数估计方法(存在传播延迟大、错误率高、节点迁移、不可忽略的捕获效应和高路径损失)的困难，引入了一种基于互相关的方法。在这种方法中，从所有节点发送的高斯信号被传感器接收，然后相互关联。在这里，传感器被称为接收节点，而节点被视为发送节点。有必要确定进行估计所需的总发射能量。本文建立了基于互相关的基数估计方案中高斯信号传输所需能量的计算表达式，并通过仿真进行了验证。

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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2015 IEEE International WIE Conference on Electrical and Computer Engineering (WIECON-ECE)

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