Optimal transmission power selecting algorithm for cluster based ultra-wide bandwidth wireless sensor networks

PAN Gao-feng; FENG Quan-yuan

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Optimal transmission power selecting algorithm for cluster based ultra-wide bandwidth wireless sensor networks

更新时间：2024-10-14

- Optimal transmission power selecting algorithm for cluster based ultra-wide bandwidth wireless sensor networks
- Vol. 30, Issue 11, Pages: 79-85(2009)
- 作者机构：
  
  西南交通大学信息科学与技术学院
- 作者简介：
- 基金信息：
- DOI：
  CLC： TN929.5;TP212.9
- Published：2009
- 稿件说明：
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PAN Gao-feng, FENG Quan-yuan. Optimal transmission power selecting algorithm for cluster based ultra-wide bandwidth wireless sensor networks[J]. 2009, 30(11): 79-85.
DOI：

PAN Gao-feng, FENG Quan-yuan. Optimal transmission power selecting algorithm for cluster based ultra-wide bandwidth wireless sensor networks[J]. 2009, 30(11): 79-85. DOI：

摘要

在簇结构超宽带无线传感器网络中

为了在可接受的实现成本范围内解决节能与功率控制问题

提出了一种传输功率优化选择算法

同时满足了预设的数据传输速度和最大限度的节能要求。然后详细地分析了该算法实现的可行性、复杂度和实现成本。仿真结果表明

本算法得出的最优传输功率大大小于传感器节点可获取的最大功率

并可以根据网络背景噪声和最大传输速度的变化而动态调整;该算法可以较为显著地延长传感器节点寿命;另外

仿真结果还表明本算法的实现成本是合理的且可接受的。

Abstract

To solve the energy conservation and power control problem radically in the cluster based ultra wideband wireless sensor networks

an optimal transmission power selecting algorithm（OTPSA） was presented

the goal of which is

within the acceptable range of implementing cost

to get an optimal transmission power value based on the maximum transmission rate and the background noise level

as well as to achieve the required data transmission rate and to meet the energy conserving requirement to the greatest extent.The implementing feasibility

complexity and cost of the proposed algorithm have been analyzed and investigated in detail.The simulative results clearly show that the power consumed under OTPSA is greatly less than the maximum power gotten at each node

and can be regulated according to the fluctuation of the requirement of maximum rate and the background noise;sensor lifetime can also be prolonged by implementing the proposed scheme.Furthermore

the simulative results also indicate that the implementing cost of the presented algorithm is reasonable and acceptable.

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