Wireless Information and Power Transfer to Maximize Information Throughput in WBAN

Wang, Liheng; Hu, Fengye; Ling, Zhuang; Wang, Bo

doi:10.1109/jiot.2017.2734682

Cited by 88 publications

(44 citation statements)

References 28 publications

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“…Wireless Energy Harvesting (EH) has been recently considered as a key technological concept for the energy sustainability of the Internet of Things (IoT) [2], [3]. An efficient technology belonging into this concept is the Simultaneous Wireless Information and Power Transfer (SWIPT) that targets at realizing perpetual operation of low power and data hungry network nodes [4], [5]. However, to achieve the goal of energy D. Mishra is with the Division of Communication Systems, Department of Electrical Engineering (ISY), Linköping University, Linköping 58183, Sweden (e-mail: deepak.mishra@liu.se).…”

Section: Introductionmentioning

confidence: 99%

Energy Sustainable IoT With Individual QoS Constraints Through MISO SWIPT Multicasting

Mishra

Alexandropoulos

2018

IEEE Internet Things J.

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Enabling technologies for energy sustainable Internet of Things (IoT) are of paramount importance since the proliferation of high data communication demands of low power network devices. In this paper, we consider a Multiple Input Single Output (MISO) multicasting IoT system comprising of a multiantenna Transmitter (TX) simultaneously transferring information and power to low power and data hungry IoT Receivers (RXs). Each IoT device is assumed to be equipped with Power Splitting (PS) hardware that enables Energy Harvesting (EH) and imposes an individual Quality of Service (QoS) constraint to the downlink communication. We study the joint design of TX precoding and IoT PS ratios for the considered MISO Simultaneous Wireless Information and Power Transfer (SWIPT) multicasting IoT system with the objective of maximizing the minimum harvested energy among IoT, while satisfying their individual QoS requirements. In our novel EH fairness maximization formulation, we adopt a generic Radio Frequency (RF) EH model capturing practical rectification operation, and resulting in a nonconvex optimization problem. For this problem, we first present an equivalent semi-definite relaxation formulation and then prove it possesses unique global optimality. We also derive tight upper and lower bounds on the globally optimal solution that are exploited in obtaining low complexity algorithmic implementations for the targeted joint design. Analytical expressions for the optimal TX beamforming directions, power allocation, and IoT PS ratios are also presented. Our representative numerical results including comparisons with benchmark designs corroborate the usefulness of proposed framework and provide useful insights on the interplay of critical system parameters.

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Section: Introductionmentioning

confidence: 99%

Energy Sustainable IoT With Individual QoS Constraints Through MISO SWIPT Multicasting

Mishra

Alexandropoulos

2018

IEEE Internet Things J.

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“…To address this, dynamic resource allocation schemes were proposed in [16]. In this direction, a novel network resource allocation algorithm was proposed to improve the performance of on-body wireless networks in [17]. Similar work was done in [18] where a point-to-point model was investigated, and different wireless body area network protocols were evaluated.…”

Section: Related Workmentioning

confidence: 99%

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

Saraereh

Alsaraira

Khan

et al. 2020

Sensors

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The Internet-of-things (IoT) has been gradually paving the way for the pervasive connectivity of wireless networks. Due to the ability to connect a number of devices to the Internet, many applications of IoT networks have recently been proposed. Though these applications range from industrial automation to smart homes, healthcare applications are the most critical. Providing reliable connectivity among wearables and other monitoring devices is one of the major tasks of such healthcare networks. The main source of power for such low-powered IoT devices is the batteries, which have a limited lifetime and need to be replaced or recharged periodically. In order to improve their lifecycle, one of the most promising proposals is to harvest energy from the ambient resources in the environment. For this purpose, we designed an energy harvesting protocol that harvests energy from two ambient energy sources, namely radio frequency (RF) at 2.4 GHz and thermal energy. A rectenna is used to harvest RF energy, while the thermoelectric generator (TEG) is employed to harvest human thermal energy. To verify the proposed design, extensive simulations are performed in Green Castalia, which is a framework that is used with the Castalia simulator in OMNeT++. The results show significant improvements in terms of the harvested energy and lifecycle improvement of IoT devices.

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“…In another occasion, improved effective transmission rate was achieved using hybrid protocols [14] utilizing a combination of the two concepts. From a more practical perspective, SWIPT systems with high-power on-demand electromagnetic radiation have also been discussed to potentially charge batteries of low-power sensor networks with high-energy constraints, like implantable biomedical sensors and smart wearable devices [15,16], structure monitoring sensors [17], remotely located wireless nodes [18], and so on. It has been shown that the information transmission time and the spectral efficiency of power splitting-based SWIPT are better than the counterparts using time switchingbased SWIPT [11,19]; however, the power loss associated with microwave power splitting systems has not been adequately discussed.…”

Section: Introductionmentioning

confidence: 99%

On the Use of Tunable Power Splitter for Simultaneous Wireless Information and Power Transfer Receivers

Quddious

Abbasi

Tariq

et al. 2018

International Journal of Antennas and Propagation

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The use of a tunable power splitter (PS) as a constituent component of a simultaneous wireless information and power transfer (SWIPT) system is discussed. Two varactor diodes are used to achieve a tunable output power ratio P 2 : P 3 varying from 1 : 1 to 1 : 10 under good matching conditions. The SWIPT system that operates at 2.4 GHz consists of a typical patch antenna, cascaded with the tunable PS, and a voltage doubler rectifier. The constituent components were implemented and tested as stand-alone devices and were subsequently combined in a measurement system using interconnectors. The effect of the tunable PS was explored with respect to the SNR measurements on the port that is intended for the information decoding receiver and the DC voltage measurements on the termination load of the rectifier that is connected directly on the energy harvesting port of the tunable PS. A spectrum analyzer is used for the SNR measurements while the input power is controlled using a signal generator. Both wireless power transmission and on-board measurements verify that the harvested energy can be maximized by using the minimum SNR at the information decoding branch at the expense of DC power consumption required for the biasing of the varactor diodes.

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Wireless Information and Power Transfer to Maximize Information Throughput in WBAN

Cited by 88 publications

References 28 publications

Energy Sustainable IoT With Individual QoS Constraints Through MISO SWIPT Multicasting

Energy Sustainable IoT With Individual QoS Constraints Through MISO SWIPT Multicasting

A Hybrid Energy Harvesting Design for On-Body Internet-of-Things (IoT) Networks

On the Use of Tunable Power Splitter for Simultaneous Wireless Information and Power Transfer Receivers

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