Next Article in Journal
Structural Damage Identification Based on AR Model with Additive Noises Using an Improved TLS Solution
Previous Article in Journal
Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal
Open AccessArticle

Distributed Hybrid Two-Stage Multi-Sensor Fusion for Cooperative Modulation Classification in Large-Scale Wireless Sensor Networks

1
School of Electrical Engineering, University of Belgrade, Bul. Kralja Aleksandra 73, 11120 Belgrade, Serbia
2
University of Defence in Belgrade, Military Academy, Generala Pavla Jurišića Šturma 33, 11000 Belgrade, Serbia
*
Author to whom correspondence should be addressed.
Sensors 2019, 19(19), 4339; https://doi.org/10.3390/s19194339
Received: 30 July 2019 / Revised: 22 September 2019 / Accepted: 1 October 2019 / Published: 8 October 2019
(This article belongs to the Section Sensor Networks)
Recent studies showed that the performance of the modulation classification (MC) is considerably improved by using multiple sensors deployed in a cooperative manner. Such cooperative MC solutions are based on the centralized fusion of independent features or decisions made at sensors. Essentially, the cooperative MC employs multiple uncorrelated observations of the unknown signal to gather more complete information, compared to the single sensor reception, which is used in the fusion process to refine the MC decision. However, the non-cooperative nature of MC inherently induces large loss in cooperative MC performance due to the unreliable measure of quality for the MC results obtained at individual sensors (which causes the partial information loss while performing centralized fusion). In this paper, the distributed two-stage fusion concept for the cooperative MC using multiple sensors is proposed. It is shown that the proposed distributed fusion, which combines feature (cumulant) fusion and decision fusion, facilitate preservation of information during the fusion process and thus considerably improve the MC performance. The clustered architecture is employed, with the influence of mismatched references restricted to the intra-cluster data fusion in the first stage. The adopted distributed concept represents a flexible and scalable solution that is suitable for implementation of large-scale networks. View Full-Text
Keywords: cognitive radio networks; data fusion; feature fusion; hybrid fusion; multi-sensor fusion; modulation classification; wireless sensor networks cognitive radio networks; data fusion; feature fusion; hybrid fusion; multi-sensor fusion; modulation classification; wireless sensor networks
Show Figures

Figure 1

MDPI and ACS Style

Markovic, G.B.; Sokolovic, V.S.; Dukic, M.L. Distributed Hybrid Two-Stage Multi-Sensor Fusion for Cooperative Modulation Classification in Large-Scale Wireless Sensor Networks. Sensors 2019, 19, 4339.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop