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Erschienen in: Mobile Networks and Applications 1/2020

18.12.2018

Outage Performance Analysis of Energy Harvesting Wireless Sensor Networks for NOMA Transmissions

verfasst von: Van Nhan Vo, Tri Gia Nguyen, Chakchai So-In, Hung Tran

Erschienen in: Mobile Networks and Applications | Ausgabe 1/2020

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Abstract

In this paper, we investigate radio frequency (RF) energy harvesting (EH) in wireless sensor networks (WSNs) using non-orthogonal multiple access (NOMA) uplink transmission with regard to a probable secrecy outage during the transmission between sensor nodes (SNs) and base station (BS) in the presence of eavesdroppers (EAVs). In particular, the communication protocol is divided into two phases: 1) first, the SNs harvest energy from multiple power transfer stations (PTSs), and then, 2) the cluster heads are elected to transmit information to the BS using the harvested energy. In the first phase, we derive a 2D RF energy model to harvest energy for the SNs. During the second phase, the communication faces multiple EAVs who attempt to capture the information of legitimate users; thus, we propose a strategy to select cluster heads and implement the NOMA technique in the transmission of the cluster heads to enhance the secrecy performance. For the performance evaluation, the exact closed-form expressions for the secrecy outage probability (SOP) at the cluster heads are derived. A nearly optimal EH time algorithm for the cluster head is also proposed. In addition, the impacts of system parameters, such as the EH time, the EH efficiency coefficient, the distance between the cluster heads and the BS, and the number of SNs as well as EAVs on the SOP, are investigated. Finally, Monte Carlo simulations are performed to show the accuracy of the theoretical analysis; it is also shown that the secrecy performance of NOMA in RF EH WSN can be improved using the optimal EH time.

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Metadaten
Titel
Outage Performance Analysis of Energy Harvesting Wireless Sensor Networks for NOMA Transmissions
verfasst von
Van Nhan Vo
Tri Gia Nguyen
Chakchai So-In
Hung Tran
Publikationsdatum
18.12.2018
Verlag
Springer US
Erschienen in
Mobile Networks and Applications / Ausgabe 1/2020
Print ISSN: 1383-469X
Elektronische ISSN: 1572-8153
DOI
https://doi.org/10.1007/s11036-018-1188-7

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