Statistical Analysis of Lifetime in Wireless Cognitive Sensor Network for Multi-Channel Cooperative Spectrum Sensing

Bagheri, Asma; Ebrahimzadeh, Ataollah

doi:10.1109/jsen.2020.3021459

Cited by 14 publications

(14 citation statements)

References 24 publications

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“…Then, we deduce that the second-order derivative of λ t ðxÞ with respect to x is negative. With respect to (21) and (57), we have…”

Section: Given Duration Of Transmission Phasementioning

confidence: 99%

“…Thanh et al [20] maximized the security of the multichannel cognitive system, where the limited-battery SU is powered by a solar energy harvester. With the aim to reduce energy consumption and evaluate network lifetime, Bagheri and Ebrahimzadeh [21] presented a probabilistic approach in the cognitive sensor network with multichannel CSS.…”

Section: Introductionmentioning

confidence: 99%

“…As aforementioned, some previous works have pointed out the advantage of CSS by multiple SUs [12,13,17,18,21] and minimized the energy consumption to extend the network lifetime [12,17,18,21]. However, as far as we know, only a few works have incorporated the EH functionality in the SUs, such as the RF EH in [19] and the solar EH in [20].…”

Section: Introductionmentioning

confidence: 99%

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Optimal Time Allocation for Energy Harvesting Cognitive Radio Networks with Multichannel Spectrum Sensing

Liu

Xia

et al. 2022

Wireless Communications and Mobile Computing

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From the perspective of time domain and frequency domain, we investigate the energy harvesting cognitive radio networks (EH-CRNs) with multichannel, where the secondary transmitter (ST) opportunistically accesses the licensed subchannels to transmit packets by consuming the harvested energy. To explore the spectrum holes and improve the lifetime of the EH-CRNs, the ST scavenges energy from the radio-frequency (RF) signal in the wide band during the energy harvesting (EH) phase and exploits the harvested energy for sequential sensing and packet transmission during the rest of the time slot. Under the energy constraint, the secondary throughput is improved by optimizing the time allocation among the EH phase, sensing phase, and transmission phase. We formulate the secondary throughput with respect to the durations of the three phases, prove the existence of the optimal time allocation, and discuss the secondary throughput in three cases of the EH-CRNs. Finally, numerical results validate the theoretical results about the secondary throughput and explore the impacts of key system parameters.

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“…Then, we deduce that the second-order derivative of λ t ðxÞ with respect to x is negative. With respect to (21) and (57), we have…”

Section: Given Duration Of Transmission Phasementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Optimal Time Allocation for Energy Harvesting Cognitive Radio Networks with Multichannel Spectrum Sensing

Liu

Xia

et al. 2022

Wireless Communications and Mobile Computing

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“…A comparison between nonorthogonal multiple access and time division multiple access for energy cooperation was conducted in [13] when a primary user harvests energy from its cognitive user. In a cognitive sensor network, the number of sensors was minimized subject to both detection probability and false alarm probability constraints, leading to a prolongation of network lifetime [14].…”

Section: Introductionmentioning

confidence: 99%

Performance Optimization for Decode and Forward Cooperative Cognitive Radio Networks

Qin

Zhou

2023

Wireless Communications and Mobile Computing

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This paper considers the problem of optimizing the data rate of the cooperative cognitive system subject to the dual constraints of the interference threshold of primary users and power budget of secondary users. In particular, under a single constraint, the rate can reach its peak easily. But under the double restrictions, the peak rate problem becomes complicated and changeable. According to different interference conditions and power supplies, four scenarios are formulated: total interference threshold and total power budget, total interference threshold and separate power budget, separate interference threshold and total power budget, and separate interference threshold and separate power budget. Each scenario needs to be further divided into many situations for discussion due to the sheer particularity. Through careful comparison and classification, we summarize and formulate each situation one by one to achieve the optimal value of the rate. Extensive simulation results demonstrate that the proposed resource allocation policy represents the best compromise between enhancing the rate of the secondary users and satisfying the interference threshold requirements of the primary users.

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“…For CR WSNs, several spectrum-sensing models were created and compared [14,15]. The benefits of CR WSNs and the significant differences between the three types of wireless sensor networks: CR WSNs, conventional WSNs, and ad hoc CR networks were also discussed in [16,17]. Recently, various CR protocols were proposed and developed to ensure that SUs continue their operation [18,19].…”

Section: Introductionmentioning

confidence: 99%

An Optimized Distributed Routing Protocol for Energy Management Systems Based on Wireless Sensor Networks in Intelligent and Smart Structures

Hammad

Mohamed

Abdel-Atty

2022

Int. j. electr. comput. eng. syst. (Online)

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Energy and spectrum efficiency for energy management systems based on wireless sensor networks in intelligent structures and powered by ambient energy harvesting (EH) are the main problems in wireless sensor networks. Herein, we consider relay selection methods. To address this issue, we proposed the optimal multiantenna power beacon opportunistic relay selection (OMPB-ORS) protocol, which uses decoding and forward methods, in which the relay wireless sensor nodes and the second source are energy-restricted and can harvest energy from a power beacon (PB) multiantenna to transmit aggregated information data from source to destination. The proposed protocol based on specific s witching t ime r eceiver a rchitecture e nhances e nd-to-end p erformance f or m aximum h ardware impairments and interference for the transceiver. To evaluate the performance, we compared our proposed protocol with best ORS (B-ORS), conventional ORS (C-ORS), and hybrid partial relay selection (H-PRS) protocols. Using the Rayleigh-fading channel, the simulation is driven based on asymptotic and exact form expressions of throughput (TP) and outage probability (OP). Simulation results show that the OMPB-ORS protocol achieves a higher TP and OP than all compared protocols.

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Statistical Analysis of Lifetime in Wireless Cognitive Sensor Network for Multi-Channel Cooperative Spectrum Sensing

Cited by 14 publications

References 24 publications

Optimal Time Allocation for Energy Harvesting Cognitive Radio Networks with Multichannel Spectrum Sensing

Optimal Time Allocation for Energy Harvesting Cognitive Radio Networks with Multichannel Spectrum Sensing

Performance Optimization for Decode and Forward Cooperative Cognitive Radio Networks

An Optimized Distributed Routing Protocol for Energy Management Systems Based on Wireless Sensor Networks in Intelligent and Smart Structures

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