Energy Efficiency Analysis of Bidirectional Wireless Information and Power Transfer for Cooperative Sensor Networks

Chen, Ruirui; Sun, Yanjing; Chen, Yan; Xiao-guang, Zhang; Li, Song; Sun, Zhi

doi:10.1109/access.2018.2888694

Cited by 3 publications

(12 citation statements)

References 33 publications

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“…To maintain the switching between wireless power and information transmission, the storage unit is equipped at both relay and SN, which is a rechargeable battery. Using the existing energy of the SN battery can initialize the information transmission before EH [29]. Due to the long-distance and deep fading, the direct link between AP and SN is ignored.…”

Section: System Modelmentioning

confidence: 99%

“…In practice, the SN harvests the energy transmitted from AP via the relay node. The energy signal experiences two times channel attenuations and a series of other losses, which results in S A P P << [27][28][29][30]. This phenomenon can be explained by equation (10).…”

Section: Power Splitting Protocolmentioning

confidence: 99%

“…In some typical sensor networks, remote sensors need to transmit real-time information to the AP through the relay node, in which both sensors and relay nodes are energy-constrained. Inspired by the traditional two-way relay networks, the EH bidirectional cooperative system networks are proposed to solve this problem, in which both the SN and relay can be charged via the wireless powered transfer [27][28][29][30]. In [27,28], the instantaneous rate maximization problems with respect to the resource division ratio are studied with the situations of one and multiple DF relay nodes.…”

Section: Introductionmentioning

confidence: 99%

“…In [27,28], the instantaneous rate maximization problems with respect to the resource division ratio are studied with the situations of one and multiple DF relay nodes. As the extension of [27,28], the energy efficiency maximization optimization is investigated in [29]. However, the joint optimization problem in [29] is not solved due to the non-convexity of the objective function.…”

Section: Introductionmentioning

confidence: 99%

“…As the extension of [27,28], the energy efficiency maximization optimization is investigated in [29]. However, the joint optimization problem in [29] is not solved due to the non-convexity of the objective function. Besides, the basic QoS constraints and EH activation constraints in energy efficiency optimization problems are also ignored.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Energy Efficiency Maximization for Energy Harvesting Bidirectional Cooperative Sensor Networks with AF Mode

Xu¹,

Song²,

Xia³

et al. 2020

KSII TIIS

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This paper investigates the energy efficiency of energy harvesting (EH) bidirectional cooperative sensor networks, in which the considered system model enables the uplink information transmission from the sensor (SN) to access point (AP) and the energy supply for the amplify-and-forward (AF) relay and SN using power-splitting (PS) or time-switching (TS) protocol. Considering the minimum EH activation constraint and quality of service (QoS) requirement, energy efficiency is maximized by jointly optimizing the resource division ratio and transmission power. To cope with the non-convexity of the optimizations, we propose the low complexity iterative algorithm based on fractional programming and alternative search method (FAS). The key idea of the proposed algorithm first transforms the objective function into the parameterized polynomial subtractive form. Then we decompose the optimization into two convex sub-problems, which can be solved by conventional convex programming. Simulation results validate that the proposed schemes have better output performance and the iterative algorithm has a fast convergence rate.

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Section: System Modelmentioning

confidence: 99%

Section: Power Splitting Protocolmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Energy Efficiency Maximization for Energy Harvesting Bidirectional Cooperative Sensor Networks with AF Mode

Xu¹,

Song²,

Xia³

et al. 2020

KSII TIIS

View full text Add to dashboard Cite

show abstract

Energy efficiency in cognitive cooperative amplify and forward networks

Qin

Zhou

2022

Sustainable Energy, Grids and Networks

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Energy Efficiency Maximization in the Wireless-Powered Backscatter Communication Networks with DF Relaying

Zheng

Zhou

2022

Wireless Communications and Mobile Computing

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This paper focuses on the design of an optimal resource allocation scheme to maximize the energy efficiency (EE) in the wireless-powered backscatter communication networks (WPBCN) with decode and forward (DF) relaying. The two different devices are supported to operate in different modes, the harvest-then-transmit (HTT) mode and backscatter communication (BackCom) mode, respectively. In particular, we formulate an optimization problem to maximize system EE by jointly optimizing the transmit power of hybrid access point (H-AP) and the system time resource allocation. To deal with the nonconvex problem, we investigate the characteristics of the EE expression and a variable substitution approach. Then, the optimal power allocation scheme and iterative optimization algorithm were derived for achieving maximum EE. Extensive simulation results have demonstrated that the system EE can be improved about 10% because the proposed scheme provides more flexibility to utilize the resource efficiently by employing the proposed scheme.

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Energy Efficiency Analysis of Bidirectional Wireless Information and Power Transfer for Cooperative Sensor Networks

Cited by 3 publications

References 33 publications

Energy Efficiency Maximization for Energy Harvesting Bidirectional Cooperative Sensor Networks with AF Mode

Energy Efficiency Maximization for Energy Harvesting Bidirectional Cooperative Sensor Networks with AF Mode

Energy efficiency in cognitive cooperative amplify and forward networks

Energy Efficiency Maximization in the Wireless-Powered Backscatter Communication Networks with DF Relaying

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