Author Identifier

Zahir M. Hussain

ORCID : 0000-0002-1707-5485

Document Type

Journal Article

Publication Title

Information

Volume

12

Issue

10

Publisher

MDPI

School

School of Engineering

RAS ID

39797

Funders

Edith Cowan University, ASPIRE Program

Comments

Alwan, N. A. S., & Hussain, Z. M. (2021). Short word-length entering compressive sensing domain: Improved energy efficiency in wireless sensor networks. Information, 12(10), article 415. https://doi.org/10.3390/info12100415

Abstract

This work combines compressive sensing and short word-length techniques to achieve localization and target tracking in wireless sensor networks with energy-efficient communication between the network anchors and the fusion center. Gradient descent localization is performed using time-of-arrival (TOA) data which are indicative of the distance between anchors and the target thereby achieving range-based localization. The short word-length techniques considered are delta modulation and sigma-delta modulation. The energy efficiency is due to the reduction of the data volume transmitted from anchors to the fusion center by employing any of the two delta modulation variants with compressive sensing techniques. Delta modulation allows the transmission of one bit per TOA sample. The communication energy efficiency is increased by RNJ, R ≥ 1, where R is the sample reduction ratio of compressive sensing, and is the number of bits originally present in a TOA-sample word. It is found that the localization system involving sigma-delta modulation has a superior performance to that using delta-modulation or pure compressive sampling alone, in terms of both energy efficiency and localization error in the presence of TOA measurement noise and transmission noise, owing to the noise shaping property of sigma-delta modulation.

DOI

10.3390/info12100415

Creative Commons License

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

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