Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing

Ying ZHOU; Lihua YANG; Longxiang YANG; Meng NI

doi:10.11959/j.issn.1000−0801.2019017

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Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing

Research and development | 更新时间：2024-06-05

- Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing
- Telecommunications Science Vol. 35, Issue 1, Pages: 74-80(2019)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000−0801.2019017
  CLC： TN929
- Published Online：2019-01，
  
  Published：20 January 2019
- 稿件说明：
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Ying ZHOU, Lihua YANG, Longxiang YANG, et al. Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing[J]. Telecommunications science, 2019, 35(1): 74-80.
DOI：

Ying ZHOU, Lihua YANG, Longxiang YANG, et al. Energy-efficient data gathering scheme based on Kalman prediction and compressed sensing[J]. Telecommunications science, 2019, 35(1): 74-80. DOI： 10.11959/j.issn.1000−0801.2019017.

摘要

提出了一种联合双重卡尔曼滤波与混合压缩感知的数据收集方案。在簇内传输时，簇内成员节点利用卡尔曼滤波预测选择性地向簇头发送数据，以减少数据传输量；同时，簇间传输时，在多跳传输的过程中利用混合压缩感知技术进行数据压缩，提高系统的能效。仿真结果表明，与现有方案相比，新算法能够在保证汇聚节点重构精度的前提下，显著地降低数据收集的能耗。

Abstract

A novel Kalman prediction and compressed sensing based energy-efficient data gathering scheme was proposed. Specially

in the intra-cluster transmission

the cluster members utilized the Kalman prediction to selectively send the data to their cluster heads. In the inter-cluster transmission

the cluster heads leveraged the hybrid compressed sensing to transfer the data to the sink via multi-hop links. Moreover

the communication cost was derived to verify the efficiency of the proposed method. Simulation results show that the proposed method has higher energy efficiency compared with the available schemes

and the sink can obtain measurements with reasonable quality by using the proposed method.

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references

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