Reliability-Constrained Throughput Optimization of Industrial Wireless Sensor Networks With Energy Harvesting Relay

Ma, Kai; Li, Zhixue; Liu, Pei; Yang, Jie; Geng, Yafei; Yang, Bo; Guan, Xinping

doi:10.1109/jiot.2021.3065966

Cited by 124 publications

(37 citation statements)

References 40 publications

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“…e node in the diagram represents the patentee, the connecting line represents the joint application relationship between joint patentees, and the thickness of the connecting line is the number of patent items applied jointly, which represents the amount of cooperation between joint patentees, as shown in Figure 1. e establishment of cooperative relationship is usually accompanied by the tacit technological knowledge flow, affecting the technology fusion and crossover innovation [39][40][41].…”

Section: Development Of the Cooperative Innovation Networkmentioning

confidence: 99%

An Empirical Analysis on the Impact of Innovation Network Structure on Crossover Innovation Performance of Emerging Technologies

Jin

Xing

2022

Computational Intelligence and Neuroscience

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The crossover innovation springing up in emerging technologies has drawn wide attention from scholars. Innovation network, as an effective way for major innovation-driven entities towards less relevant risks and higher efficiency, can significantly affect the crossover innovation performance. This paper analyzes the evolution law of the innovation network of autonomous driving technology based on the Social Network Analysis (SNA) and by using the data on joint applications for invention patents of such technology during 2006–2020. Furthermore, the structural eigenvalues of the network evolution are calculated for the regression analysis of the relationship between network structure and crossover innovation performance. The empirical results show that network centrality, structural hole, and relationship intensity have a positive effect on crossover innovation performance of emerging technologies, while network clustering has a negative effect. Emerging technology enterprises should constantly improve their technological innovation ability, improve their status and influence in the innovation network, establish cooperation with appropriate innovation partners, further expand their own technical knowledge fields, and obtain innovation resources by optimizing the network structure so as to enhance the crossover innovation performance.

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Section: Development Of the Cooperative Innovation Networkmentioning

confidence: 99%

An Empirical Analysis on the Impact of Innovation Network Structure on Crossover Innovation Performance of Emerging Technologies

Jin

Xing

2022

Computational Intelligence and Neuroscience

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“…Nonetheless, some quantities in ( 12), ( 13), (22), and ( 23), which are functions of P s , are different for the LEH and NLEH models. More specifically, for the NLEH models, γ p in (12), γ d in (13), γ s e in (22), and γ p e in ( 23) are correspondingly expressed asγ…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

“…Such advantages of this energy harvesting solution induce it to become a bright candidate deployed in small-size users in 5G mobile communications or IoT to provision energy, linger the life-time, and enhance energy efficiency [6][7][8]. Currently, this solution can be carried out through SWIPT (simultaneous wireless information and power transfer) [9][10][11] or relaying communications [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Impact of Artificial Noise on Security Capability of Energy Harvesting Overlay Networks

Ho-Van

Do-Dac

2021

Wireless Communications and Mobile Computing

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Artificial noise, energy harvesting, and overlay communications can assure design metrics of modern wireless networks such as data security, energy efficiency, and spectrum utilization efficiency. This paper studies impact of artificial noise on security capability of energy harvesting overlay networks in which the cognitive transmitter capable of self-powering its operation by harvesting radio frequency energy and self-securing its communications against eavesdroppers by generating artificial noise amplifies and forwards the signal of the primary transmitter as well as transmits its individual signal concurrently. To quantify this impact, the current paper firstly suggests accurate expressions of crucial security performance indicators. Then, computer simulations are supplied to corroborate these expressions. Finally, numerous results are demonstrated to expose insights into this impact from which optimum specifications are determined. Notably, primary/cognitive communications can be secured at distinct degrees by flexibly controlling multiple specifications of the suggested system model.

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“…However, as an assistant, the selected relay may be unwilling to consume its individual energy for assistant activity. Nowadays, advanced technologies allow wireless users to power their operations by the harvested radio frequency (RF) energy [12][13][14][15]. As a result, the selected relay can extend the coverage range of the unlicensed source with the harvested energy, better maintaining reliable source-todestination communications.…”

Section: Introductionmentioning

confidence: 99%

Relay Selection for Security Improvement in Cognitive Radio Networks with Energy Harvesting

Ho-Van

Do-Dac

2021

Wireless Communications and Mobile Computing

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This paper selects an unlicensed relay among available self-powered relays to not only remain but also secure information transmission from an unlicensed source to an unlicensed destination. The relays harvest energy in signals of the unlicensed source and the licensed transmitter. Then, they spend the harvested energy for their relaying operation. Conditioned on the licensed outage restriction, the peak transmission power restriction, Rayleigh fading, and the licensed interference, the current paper proposes an exact closed-form formula of the secrecy outage probability to quickly evaluate the secrecy performance of the proposed relay selection method in cognitive radio networks with energy harvesting. The proposed formula is corroborated by computer simulations. Several results illustrate the effectiveness of the relay selection in securing information transmission. Additionally, the security capability is saturated at large peak transmission powers or large preset outage probabilities of licensed users. Furthermore, the security capability depends on many specifications among which the power splitting ratio, the relays’ positions, and the time switching ratio can be optimally selected to obtain the best security performance.

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Reliability-Constrained Throughput Optimization of Industrial Wireless Sensor Networks With Energy Harvesting Relay

Cited by 124 publications

References 40 publications

An Empirical Analysis on the Impact of Innovation Network Structure on Crossover Innovation Performance of Emerging Technologies

An Empirical Analysis on the Impact of Innovation Network Structure on Crossover Innovation Performance of Emerging Technologies

Impact of Artificial Noise on Security Capability of Energy Harvesting Overlay Networks

Relay Selection for Security Improvement in Cognitive Radio Networks with Energy Harvesting

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