An Extensive Survey on Energy Optimization Techniques Based on Simultaneous Wireless Data and Energy Transfer to Wireless Sensor Network

Gambhir, Ankit; Arya, Rajeev

doi:10.1007/978-981-10-5687-1_42

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…The underlying notion of this aspect is that the signals employed to transfer data transmission could also carry energy that the node could acquire at the receiver. Wireless devices can send data between nodes utilizing this gathered energy, thereby attaining better throughput than traditional battery-based wireless networks [12]. Numerous works have been conducted on SWIPT based WPCNs with [13] where multiple antenna WPCN with energy beamforming vectors and WPT to improve the throughput amid individual user was considered [14], without considering the energy beamforming scheme.…”

Section: Simultaneous Wireless Information and Power Transfer (Swipt)mentioning

confidence: 99%

Efficient Approach for Resource Allocation in WPCN Using Hybrid Optimization

Thomas¹,

Malarvizhi²

2022

Computers, Materials &Amp; Continua

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The recent aggrandizement of radio frequency (RF) signals in wireless power transmission combined with energy harvesting methods have led to the replacement of traditional battery-powered wireless networks since the blooming RF technology provides energy renewal of wireless devices with the quality of service (QoS). In addition, it does not require any unnecessary alterations on the transmission hardware side. A hybridized global optimization technique uniting Global best and Local best (GL) based particle swarm optimization (PSO) and ant colony optimization (ACO) is proposed in this paper to optimally allocate resources in wireless powered communication networks (WPCN) through coordinated operation of communication groups, in which the wireless energy transfer and information sharing take place concomitantly by the aid of a cooperative relay positioned in between the communicating groups. The designed algorithm assists in minimizing power consumption and maximizes the weighted sum rate at the end-user side. Thus the principal target of the system is coordinated optimization of energy beamforming along with time and energy allocation to reduce the total energy consumed combined with assured information rates of the communication groups. Numerical outputs are presented to manifest the proposed system's performance to verify the analytical results via simulations.

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Section: Simultaneous Wireless Information and Power Transfer (Swipt)mentioning

confidence: 99%