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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2020

09.05.2020

An Efficient Compressive Sensing Routing Scheme for Internet of Things Based Wireless Sensor Networks

Erschienen in: Wireless Personal Communications | Ausgabe 3/2020

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Abstract

Internet of Things (IoT) integrates diverse types of sensors, mobiles and other technologies to physical world and IoT technology is used in a wide range of applications. Compressive sensing based in-network compression is an efficient technique to reduce communication cost and accurately recover sensory data at the base station. In this paper, we investigate how compressive sensing can be combined with routing protocols for energy efficient data gathering in IoT-based wireless sensor networks. We propose a new compressive sensing routing scheme that includes the following new algorithms: (1) seed estimation algorithm to find the best measurement matrix by selecting the best-estimated seed, (2) chain construction algorithm to organize the network nodes during transmitting and receiving process, (3) compression approach to reduce the energy consumption and prolong the network lifetime by reducing the local data traffic, and (4) reconstruction algorithm to reconstruct the original data with minimum reconstruction error. The simulation results reveal that the proposed scheme outperforms existing baseline algorithms in terms of energy consumption, network lifetime and reconstruction error.
Vorheriger Artikel Estimating Symbol Duration of Long-Code Direct Sequence Spread Spectrum Signals at a Low Signal-to-Noise Ratio
Nächster Artikel Energy-Efficiency-Based Power Allocation Scheme in Multi-user Single-DF-Relay Cognitive Networks

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Metadaten
Titel
An Efficient Compressive Sensing Routing Scheme for Internet of Things Based Wireless Sensor Networks
Publikationsdatum
09.05.2020
Erschienen in
Wireless Personal Communications / Ausgabe 3/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-020-07454-4

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