A Practical Data-Gathering Algorithm for Lossy Wireless Sensor Networks Employing Distributed Data Storage and Compressive Sensing

A Practical Data-Gathering Algorithm for Lossy Wireless Sensor Networks Employing Distributed Data Storage and Compressive Sensing

Reliability and energy efficiency are two key considerations when designing a compressive sensing (CS)-based data-gathering scheme. Most researchers assume there is no packets loss, thus, they focus only on reducing the energy consumption in wireless sensor networks (WSNs) while setting reliability...

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Bibliographic Details
Main Authors: Ce Zhang, Ou Li, Guangyi Liu, Mingxuan Li
Format: Article
Language:English
Published: MDPI AG 2018-09-01
Series:Sensors
Subjects:
WSNs
CS
distributed data storage
packet loss rate
energy efficiency
Online Access:http://www.mdpi.com/1424-8220/18/10/3221

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