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This article studies a smart grid dynamic wide area network where a friendly jammer is proposed to enhance the secrecy of the network. In the network, the smart meter (SM) in each household communicates with the full-duplex meter data control unit (FD-MDCU) via a decode-and-forward data aggregation unit in the presence of an eavesdropper. To improve the security of the network, the FD-MDCU transmits jammer signal which interfere with the eavesdropper. It is assumed that all the household are not sending data at the same time, thus Markov chain is employed to model the number of active SM. Thus, to evaluate the performance of the proposed network, the closed-form expressions of connection outage probability (COP), security outage probability, and secrecy throughput metrics are obtained. Moreover, more insight about the network performance is provide by obtaining the COP asymptotic expression at high signal-to-noise ratio. Also, the accuracy of the derived expressions is justified by Monte-Carlo simulations. Our findings demonstrate the impact of network and channel parameters on the network security performance.
The energy of sensor nodes in wireless sensor networks is limited, which is one of the most important challenges due to the lack of a fixed power supply. Because data transmission consumes the most energy of nodes, a node that transmits more packets runs out of energy faster than the others. When the energy of a node comes to the end of a network, the process of network operation may be disrupted. In this case, critical information in the network with the desired quality may not reach the hole and eventually the base stations. Therefore, considering the dynamic topology and distributed nature of wireless sensor networks, designing energy-efficient routing protocols is the main challenge. In this paper, an energy-aware routing protocol based on a multiobjective particle swarm optimization algorithm is presented. In the proposed particle swarm optimization algorithm method, the proportionality function for selecting the optimal threaded node is set based on the goals related to service quality including residual energy, link quality, end-to-end delay, and delivery rate. The simulation results show that the proposed method consumes less energy and has a longer lifespan compared with the state-of-the-art methods due to balancing the goals related to service quality criteria.
Simultaneous wireless information and power transfer (SWIPT) is a major breakthrough in the field of low-power wireless information transmissions. In this paper, the secrecy performance of the SWIPT-enabled relay network with full-duplex destination-aided jamming is assessed, where both the power-splitting (PS) and time-switching (TS) schemes at the relay are considered with the linear and nonlinear energy harvesting models. The relay harvests energy from the confidential signal and artificial noise sent by the source and destination, respectively, and forwards the amplified signal to the destination, in the presence of an eavesdropper. The analytical closed-form expressions of the connection outage probability (COP), secrecy outage probability (SOP), and transmission outage probability (TOP) for PS- and TS-based schemes are derived, and the closed-form expression of the lower bound of ergodic secrecy capacity (ESC) is calculated. The asymptotic-form expressions of the COP, SOP, TOP, and ESC are further analyzed to capture the valuable information in the high SNR regime. Numerical results verify the correctness of analytical results, reveal the effects of the PS/TS ratio, and transmit the signal-to-noise ratio on secrecy performance.
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