Is Crowdcharging Possible?

Bulut, Eyuphan; Hernandez, Steven; Dhungana, Aashish; Szymański, Bolesław K.

doi:10.1109/icccn.2018.8487418

Cited by 30 publications

(19 citation statements)

References 23 publications

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“…Wireless crowd charging is a new paradigm in the wireless transfer technology [12], [14], [13]. This paradigm has been introduced by Bulut al.…”

Section: Energy Harvesting and Wireless Transfermentioning

confidence: 99%

“…Two companies, Energous 1 and Wi-Charge 2 have already produced their charging devices prototypes which can deliver up to 3 Watts power over 5 meters to multiple receivers. Recently, the concept of wireless crowd charging has been introduced to provide IoT users with ubiquitous power access through crowdsourcing [12], [13].…”

Section: Introductionmentioning

confidence: 99%

“…We focus on crowdsourcing energy as a service which has the potential to create a green computing environment. The crowdsourced energy service (CES) has two main aspects, (a) harvesting energy, and (b) the wireless transfer between IoT devices [12], [14]. The IoT devices are able to harvest energy from different natural sources, i.e., the kinetic movement of IoT users or their body heat [15].…”

Section: Introductionmentioning

confidence: 99%

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Composing Energy Services in a Crowdsourced IoT Environment

Lakhdari

Bouguettaya

Mistry

et al. 2022

IEEE Trans. Serv. Comput.

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We propose a novel framework for composing crowdsourced wireless energy services to satisfy users' energy requirements in a crowdsourced Internet of Things (IoT) environment. A new energy service model is designed to transform the harvested energy from IoT devices into crowdsourced services. We propose a new energy service composability model that considers the spatio-temporal aspects and the usage patterns of the IoT devices. A multiple local knapsack-based approach is developed to select an optimal set of partial energy services based on the deliverable energy capacity of IoT devices. We propose a heuristic-based composition approach using the temporal and energy capacity distributions of services. Experimental results demonstrate the effectiveness and efficiency of the proposed approach.

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“…Wireless crowd charging is a new paradigm in the wireless transfer technology [12], [14], [13]. This paradigm has been introduced by Bulut al.…”

Section: Energy Harvesting and Wireless Transfermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Composing Energy Services in a Crowdsourced IoT Environment

Lakhdari

Bouguettaya

Mistry

et al. 2022

IEEE Trans. Serv. Comput.

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show abstract

“…They consider mobile devices can be charged either by using a charging cable or in a peer-to-peer manner based on their interactions with other devices and their goal is to minimize the amount of times a device will need to be charged through a charging cable. Reference [33] study the potential of crowdcharging. More specifically, authors investigate its feasibility and the challenges (software and hardware) that emerge for its use.…”

Section: A Related Workmentioning

confidence: 99%

On Electromagnetic Radiation Control for Wireless Power Transfer in Adhoc Communication Networks: Key Issues and Challenges

Gabriel¹,

Madhja²,

Nikoletseas³

et al. 2019

IEEE Access

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In this paper, we provide a holistic overview of the aspect of electromagnetic radiation (EMR) and its efficient control in wireless communication networks. Especially, we focus on the emerging technology of wireless power transfer (WPT). Our global perspective is to suggest methods for the effective control of EMR while keeping at high levels the QoS experienced by users as well as the charging efficiency of WPT. First, we provide formal definitions of EMR in wireless communications and propose related performance metrics and EMR evaluations in wireless communication networks. Then, we focus on EMR control in efficient wireless power transfer, under different WPT models. For the well-known scalar model, we assume finite energy reserves and batteries, and introduce the low radiation efficient charging problem. For this problem, we identify its computational complexity and provide efficient algorithms and heuristics. A vectorial model of WPT is then employed, allowing a more precise management of radiation, via directly exploiting interesting super-additive and cancellative phenomena of received power; we provide algorithms which achieve satisfactory tradeoffs of charging efficiency and radiation. Then, we present a more futuristic model and the method of peer-to-peer wireless power transfer where no strong, central charger stations are used, thus keeping radiation at almost zero levels. Another method of controlling EMR in the case of mobile nodes is adapting the charger change in a dynamic, on-line way so as to avoid unnecessarily large fixed changing ranges. Finally, we discuss some future challenges and related research directions, toward efficiently combining high WPT provisioning and low EMR. Such directions include the effective management of mobility in the network, the use of diverse WPT signal phase-configuration as well as efficient chargers' scheduling strategies.

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“…Moreover, EaaS offers ubiquitous power access where users can charge their devices anywhere and at any time [12] [13]. These advantages promote the concept of wireless crowdcharging [14].…”

Section: Introductionmentioning

confidence: 99%

Wireless IoT Energy Sharing Platform

Yao¹,

Abusafia²,

Lakhdari³

et al. 2022

Preprint

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Wireless energy sharing is a novel convenient alternative to charge IoT devices. In this demo paper, we present a peer-to-peer wireless energy sharing platform. The platform enables users to exchange energy wirelessly with nearby IoT devices. The energy sharing platform allows IoT users to send and receive energy wirelessly. The platform consists of (i) a mobile application that monitors and synchronizes the energy transfer among two IoT devices and (ii) and a backend to register energy providers and consumers and store their energy transfer transactions. The developed framework allows the collection of a real wireless energy sharing dataset. A set of preliminary experiments has been conducted on the collected dataset to analyze and demonstrate the behavior of the current wireless energy sharing technology.

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Is Crowdcharging Possible?

Cited by 30 publications

References 23 publications

Composing Energy Services in a Crowdsourced IoT Environment

Composing Energy Services in a Crowdsourced IoT Environment

On Electromagnetic Radiation Control for Wireless Power Transfer in Adhoc Communication Networks: Key Issues and Challenges

Wireless IoT Energy Sharing Platform

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