@inproceedings{dc9df0f5b3db44d2bb8e431becddf730,
title = "Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization",
abstract = "This paper considers the decision fusion problem for wireless sensor networks (WSNs) where the decisions are transmitted to the fusion center (FC) over Internet-of-Things (IoT) infrastructure. The WSN is configured that each group of sensors transmit their decisions about a certain phenomenon to a cluster-head, and all cluster heads forward the decisions to the a remote FC that is hosted on the cloud. To improve the system spectral and power efficiency, we use 1-bit quantization at the sensor and cluster-head levels. Moreover, 1-bit censoring based quantizers are proposed where the cluster-head forwards only the reliable sensing data to the FC, while dropping the unreliable data. At the FC, the received data are fused to obtain the final decision. The obtained numerical results evaluated for several operating scenarios show that the 1-bit quantization process can produce reliable global decisions while saving the power and bandwidth.",
keywords = "data fusion, distributed detection, fusion rule, Internet of things (IoT), wireless sensor network, WSN",
author = "Al-Jarrah, {M. A.} and Yaseen, {M. A.} and A. Al-Dweik",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 ; Conference date: 19-11-2019 Through 21-11-2019",
year = "2019",
month = nov,
doi = "10.1109/ICECTA48151.2019.8959648",
language = "British English",
series = "2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019",
address = "United States",
}
