Final published version
Licence: CC BY: Creative Commons Attribution 4.0 International License
Research output: Contribution to Journal/Magazine › Journal article › peer-review
Research output: Contribution to Journal/Magazine › Journal article › peer-review
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TY - JOUR
T1 - Secrecy Wireless-Powered Sensor Networks for Internet of Things
AU - Li, J.
AU - Zhao, H.
AU - Chen, X.
AU - Chu, Z.
AU - Zhen, L.
AU - Jiang, J.
AU - Pervaiz, H.
PY - 2020/9/22
Y1 - 2020/9/22
N2 - This paper investigates a secure wireless-powered sensor network (WPSN) with the aid of a cooperative jammer (CJ). A power station (PS) wirelessly charges for a user equipment (UE) and the CJ to securely transmit information to an access point (AP) in the presence of multiple eavesdroppers. Also, the CJ are deployed, which can introduce more interference to degrade the performance of the malicious eavesdroppers. In order to improve the secure performance, we formulate an optimization problem for maximizing the secrecy rate at the AP to jointly design the secure beamformer and the energy time allocation. Since the formulated problem is not convex, we first propose a global optimal solution which employs the semidefinite programming (SDP) relaxation. Also, the tightness of the SDP relaxed solution is evaluated. In addition, we investigate a worst-case scenario, where the energy time allocation is achieved in a closed form. Finally, numerical results are presented to confirm effectiveness of the proposed scheme in comparison to the benchmark scheme. © 2020 Junxia Li et al.
AB - This paper investigates a secure wireless-powered sensor network (WPSN) with the aid of a cooperative jammer (CJ). A power station (PS) wirelessly charges for a user equipment (UE) and the CJ to securely transmit information to an access point (AP) in the presence of multiple eavesdroppers. Also, the CJ are deployed, which can introduce more interference to degrade the performance of the malicious eavesdroppers. In order to improve the secure performance, we formulate an optimization problem for maximizing the secrecy rate at the AP to jointly design the secure beamformer and the energy time allocation. Since the formulated problem is not convex, we first propose a global optimal solution which employs the semidefinite programming (SDP) relaxation. Also, the tightness of the SDP relaxed solution is evaluated. In addition, we investigate a worst-case scenario, where the energy time allocation is achieved in a closed form. Finally, numerical results are presented to confirm effectiveness of the proposed scheme in comparison to the benchmark scheme. © 2020 Junxia Li et al.
KW - Internet of things
KW - Wireless sensor networks
KW - Formulated problems
KW - Global optimal solutions
KW - Numerical results
KW - Optimization problems
KW - Power station
KW - Semi-definite programming
KW - User equipments
KW - Worst case scenario
KW - Network security
U2 - 10.1155/2020/8859264
DO - 10.1155/2020/8859264
M3 - Journal article
VL - 2020
JO - Wireless Communications and Mobile Computing
JF - Wireless Communications and Mobile Computing
SN - 1530-8669
M1 - 8859264
ER -