Throughput analysis of cognitive wireless acoustic sensor networks with energy harvesting

Tang, Kun; Shi, Ronghua; Dong, Jian

doi:10.1016/j.future.2017.07.032

Cited by 27 publications

(15 citation statements)

References 28 publications

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“…For each of the fixed transmission mode, the instantaneous channel capacity was defined as in Eqs. 3and (6) in Section II, respectively. For the FD relaying mode, the same aforementioned value of average RSI is considered.…”

Section: Numerical and Simulation Resultsmentioning

confidence: 99%

An Adaptive Transmission Scheme in Cooperative Relay Networks with Energy Accumulation

et al. 2019

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Section: Numerical and Simulation Resultsmentioning

confidence: 99%

An Adaptive Transmission Scheme in Cooperative Relay Networks with Energy Accumulation

et al. 2019

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“…e devices with EH capabilities can convert energy from the surrounding environment into electricity for data transmission, such as solar, wind, or RF signals [14]. Especially with the synchronous development of antenna and circuit designs, wireless EH based on RF signals has attracted more attention due to its advantages of wireless, low cost, and small form implementation [15][16][17]. Furthermore, the amount of harvested energy is in milliwatts, which is enough to power small-size IoMT devices, such as medical data sensors for short-distance transmissions.…”

Section: Introductionmentioning

confidence: 99%

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Tang

Luo

et al. 2020

Security and Communication Networks

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In this paper, we consider the issue of the secure transmissions for the cognitive radio-based Internet of Medical ings (IoMT) with wireless energy harvesting. In these systems, a primary transmitter (PT) will transmit its sensitive medical information to a primary receiver (PR) by a multi-antenna-based secondary transmitter (ST), where we consider that a potential eavesdropper may listen to the PT's sensitive information. Meanwhile, the ST also transmits its own information concurrently by utilizing spectrum sharing. We aim to propose a novel scheme for jointly designing the optimal parameters, i.e., energy harvesting (EH) time ratio and secure beamforming vectors, for maximizing the primary secrecy transmission rate while guaranteeing secondary transmission requirement. For solving the nonconvex optimization problem, we transfer the problem into convex optimization form by adopting the semidefinite relaxation (SDR) method and Charnes-Cooper transformation technique. en, the optimal secure beamforming vectors and energy harvesting duration can be obtained easily by utilizing the CVX tools. According to the simulation results of secrecy transmission rate, i.e., secrecy capacity, we can observe that the proposed protocol for the considered system model can effectively promote the primary secrecy transmission rate when compared with traditional zero-forcing (ZF) scheme, while ensuring the transmission rate of the secondary system.

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“…Tang et al [30] use the TSR and PSR protocols for transmitting energy and signal together in wireless acoustic sensor network. Performance of both protocols is analysed based on the throughput efficiency and results show that to achieve higher transmission rate at secondary receiver, PSR protocol outperforms TSR at low transmission power.…”

Section: Introductionmentioning

confidence: 99%

“…Performance of both protocols is analysed based on the throughput efficiency and results show that to achieve higher transmission rate at secondary receiver, PSR protocol outperforms TSR at low transmission power. Unlike [28]- [30], Tariq et al [31] consider relay network based on two-way amplify-and-forward (AF). TSR and HPTSR (hybrid power-time switching based relaying protocol) protocols are analysed for harvesting at relay node.…”

Section: Introductionmentioning

confidence: 99%

Wireless Energy Harvesting in Internet-of-Things Communication Systems with Optimized Energy Efficiency using PSO

2019

IJITEE

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IoT is an emerging technology having a wide range of application areas. IoT applications are also affecting human lives. But these small devices are battery powered which is major problem for IoT systems. Wireless energy transfer is a good solution for such systems. Both information and energy can be transmitted together by wireless energy. In this paper, time splitting-based relaying (TSR) protocol is used by relay node to harvest the energy in IoT system. Here, dual-hop IoT system is considered for analysis. System with three different Wi-Fi protocols is examined against the energy efficiency at the destination node. All three protocols are analysed individually. Further, Particle Swarm Optimization (PSO) technique is used to optimize the energy efficiency of the considered IoT system.

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Throughput analysis of cognitive wireless acoustic sensor networks with energy harvesting

Cited by 27 publications

References 28 publications

An Adaptive Transmission Scheme in Cooperative Relay Networks with Energy Accumulation

An Adaptive Transmission Scheme in Cooperative Relay Networks with Energy Accumulation

Secure Information Transmissions in Wireless-Powered Cognitive Radio Networks for Internet of Medical Things

Wireless Energy Harvesting in Internet-of-Things Communication Systems with Optimized Energy Efficiency using PSO

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