Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization

M. A. Al-Jarrah; M. A. Yaseen; A. Al-Dweik

doi:10.1109/ICECTA48151.2019.8959648

Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization

M. A. Al-Jarrah
, M. A. Yaseen
, A. Al-Dweik

Electrical Engineering

University of Manchester
Arab University College of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

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.

Original language	British English
Title of host publication	2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781728155326
DOIs	https://doi.org/10.1109/ICECTA48151.2019.8959648
State	Published - Nov 2019
Event	2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 - Ras Al Khaimah, United Arab Emirates Duration: 19 Nov 2019 → 21 Nov 2019

Publication series

Name	2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019

Conference

Conference	2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019
Country/Territory	United Arab Emirates
City	Ras Al Khaimah
Period	19/11/19 → 21/11/19

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

data fusion
distributed detection
fusion rule
Internet of things (IoT)
wireless sensor network
WSN

Access to Document

10.1109/ICECTA48151.2019.8959648

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Cite this

Al-Jarrah, M. A., Yaseen, M. A., & Al-Dweik, A. (2019). Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization. In 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019 Article 8959648 (2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICECTA48151.2019.8959648

Al-Jarrah, M. A. ; Yaseen, M. A. ; Al-Dweik, A. / Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization. 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019).

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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.",

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Al-Jarrah, MA, Yaseen, MA & Al-Dweik, A 2019, Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization. in 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019., 8959648, 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019, Institute of Electrical and Electronics Engineers Inc., 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019, Ras Al Khaimah, United Arab Emirates, 19/11/19. https://doi.org/10.1109/ICECTA48151.2019.8959648

Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization. / Al-Jarrah, M. A.; Yaseen, M. A.; Al-Dweik, A.
2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8959648 (2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Yaseen, M. A.

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N2 - 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.

AB - 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.

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Al-Jarrah MA, Yaseen MA, Al-Dweik A. Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization. In 2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8959648. (2019 International Conference on Electrical and Computing Technologies and Applications, ICECTA 2019). doi: 10.1109/ICECTA48151.2019.8959648

Decision Fusion for Clustered WSNs over IoT Infrastructure using 1-bit Quantization

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

OpenUrl availability

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