Energy-Neutral Operation Based on Simultaneous Wireless Information and Power Transfer for Wireless Powered Sensor Networks

Choi, Hyun-Ho; Lee, Jung-Ryun

doi:10.3390/en12203823

Cited by 15 publications

(7 citation statements)

References 43 publications

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“…Choi and Lee [ 207 ] propose sensor nodes with high harvesting energies recharging the cluster head through SWIPT to maximize the achievable rate of sensing data transmission while guaranteeing ENO.…”

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

confidence: 99%

Current Trends on Green Wireless Sensor Networks

López-Ardao

Rodríguez-Rubio

Suárez-González

et al. 2021

Sensors

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The issue of energy balancing in Wireless Sensor Networks is a pivotal one, crucial in their deployment. This problem can be subdivided in three areas: (i) energy conservation techniques, usually implying minimizing the cost of communication at the nodes since it is known that the radio is the biggest consumer of the available energy; (ii) energy-harvesting techniques, converting energy from not full-time available environmental sources and usually storing it; and (iii) energy transfer techniques, sharing energy resources from one node (either specialized or not) to another one. In this article, we survey the main contributions in these three areas and identify the main trending topics in recent research. A discussion and some future directions are also included.

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

confidence: 99%

Current Trends on Green Wireless Sensor Networks

López-Ardao

Rodríguez-Rubio

Suárez-González

et al. 2021

Sensors

View full text Add to dashboard Cite

show abstract

“…The authors in ref. [35] consider a hierarchical architecture using SWIPT to provide the so called energy neutral operation (ENO), where the nodes can perpetually work if the energy consumption is less than the harvested energy. In the proposed SWIPT structure, a Hybrid Access Point powers the wireless sensor nodes by the RF waves sent and the sensor nodes, organized in clusters, transmit the sensing data to the Cluster Head (CH).…”

Section: Related Workmentioning

confidence: 99%

“…The cited works [31,35,36] consider SWIPT method to manage the end-to-end routes selection in multi-hop energy constrained wireless network while our paper mainly addresses the use of SWIPT technique to create a new OF for the RPL protocol. This new OF based on SWIPT provides an optimized route selection to forward data towards the root node balancing the remaining energy among the nodes thanks to the recharge effect.…”

Section: Related Workmentioning

confidence: 99%

A Green Routing Protocol with Wireless Power Transfer for Internet of Things

Chiti

Fantacci

Pierucci

2021

JSAN

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The usually constrained resources and lossy links scenarios of Internet of Things (IoT) applications require specific protocol suite, as the IPv6 Routing Protocol for Low-Power and Lossy Networks (RPL). Due to its flexibility, RPL can support efficiently vertical applications such as environmental monitoring, smart city and Industry 4.0. In this paper, we propose a new Objective Function (OF) for RPL based on a composite metric considering jointly the residual energy of a node (parent) together with the energy that a neighbor node (child) can transfer to the parent according to the Wireless Power Transfer (WPT) concept. Specifically, we consider simultaneous wireless information and power transfer (SWIPT) technique, which enables both the energy harvesting and information decoding from the same radio frequency (RF) signal, in order to influence the selection of the best path according to the proposed energy efficient metric in RPL. Performance evaluation on a realistic scenario pointed out a remarkable energy saving to prolong the network lifetime, by selecting the best path toward the sink node, with respect to the OFs usually considered in the literature.

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“…The multi-user cluster-based WPCN and simultaneous wireless information and power transfer (SWIPT) with user cooperation are studied in [15] and [16], respectively, for the case of singlecluster. In [15], all single-antenna users transmit their signals to the single-antenna cluster head (CH) and then the CH transmits the signals of the users as well as its own signal to the multiple antennas HAP via time-division-multiple-access (TDMA) protocol.…”

Section: A Related Workmentioning

confidence: 99%

“…The transmit time allocations and EB matrix are designed to improve the throughput fairness among the users. The problem of maximizing the sensing data rate in a cluster is considered in [16] for a scenario with singleantenna HAP, CH and cluster members 1 .…”

Section: A Related Workmentioning

confidence: 99%

Throughput Maximization for Multi-Cluster WPCN: User Cooperation, Non-linearity, and Channel Uncertainty

Rezaei¹,

Masjedi²,

Naghsh³

2021

Preprint

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In this paper, we study a general multi-cluster wireless powered communication network (WPCN) with user cooperation under harvest-then-transmit (HTT) protocol where the hybrid access point (HAP) as well as each user is equipped with multiple antennas. In the downlink phase of HTT, the HAP employs beamforming to transfer energy to the users. In the uplink phase, users in each cluster transmit their signals to the HAP and to their cluster heads (CHs). Afterward, the CHs first relay the signals of their cluster users and then transmit their own information signals to the HAP. The aim is to design the energy beamforming (EB) matrix, transmit covariance matrices of the users and time allocations among energy transfer and cooperation phases in order to optimize the max-min and sum throughputs of the network. The corresponding maximization problems are non-convex and NP-hard in general. We devise iterative algorithm based on alternating optimization (AO) and then the minorization-maximization (MM) technique is used to deal with the non-convex sub-problems with respect to (w.r.t.) the EB and covariance matrices in each iteration. We recast the resulting sub-problems as a convex second order cone programming (SOCP) and quadratic constraint quadratic programming (QCQP) for the maxmin and sum throughput maximization problems, respectively. We also consider imperfect channel state information (CSI) at the HAP and CHs and non-linearity in energy harvesting (EH) circuits. Numerical examples show that the proposed cooperative method can effectively improve the achievable throughput in the multi-cluster wireless powered communication under various setups.

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Energy-Neutral Operation Based on Simultaneous Wireless Information and Power Transfer for Wireless Powered Sensor Networks

Cited by 15 publications

References 43 publications

Current Trends on Green Wireless Sensor Networks

Current Trends on Green Wireless Sensor Networks

A Green Routing Protocol with Wireless Power Transfer for Internet of Things

Throughput Maximization for Multi-Cluster WPCN: User Cooperation, Non-linearity, and Channel Uncertainty

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