PowerShake

Worgan, Paul; Knibbe, Jarrod; Fraser, Mike; Plasencia, Diego Martinez

doi:10.1145/2858036.2858569

Cited by 18 publications

(1 citation statement)

References 16 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Here, lies an opportunity to explore ways in which wireless access or battery power (two key points of failure) might be shared across devices so that transactions can progress. Sharing battery is an area that has had some recent developments (e.g., Worgan at al. 2016), but it is also possible to envisage a system in which a single device could be utilized for both purposes (i.e., sending and receipt of funds), for example using biometrics to allow online validation of the non-owner of the device to transact or assess the validity of a transaction.…”

Section: Design Implicationsmentioning

confidence: 99%

Moneywork

Perry

Ferreira

2017

ACM Trans. Comput.-Hum. Interact.

View full text Add to dashboard Cite

The emergence of various forms of digital money and innovative digital financial services allows stores of value to be created, held, moved, measured, and exchanged in novel ways. Yet the success of these new forms of transactional media is largely dependent on the ways that they are understood as useful and credible as viable forms of exchange, and on how they support the ways that their users interact around them. This article therefore examines interactional work around the use of money in making financial transactions: we call this moneywork. We report on an empirical study of the patterns of behavior of users of a mixed media (digital and analog) currency that supports mobile device payments-the Bristol Pound-exploring the impacts of its users' understanding of the systems that underlie these transactions, the technical constraints on their potential for action, their practices of use, and the social interactions that these activities lie within. We draw design implications to support these payment practices. CCS Concepts: • Human-centered computing → Empirical studies in HCI ; Empirical studies in ubiquitous and mobile computing; Empirical studies in collaborative and social computing; Ubiquitous and mobile computing systems and tools; • Applied computing → Digital cash;

show abstract

Section: Design Implicationsmentioning

confidence: 99%

Moneywork

Perry

Ferreira

2017

ACM Trans. Comput.-Hum. Interact.

View full text Add to dashboard Cite

show abstract

Energy-aware tree network formation among computationally weak nodes

2020

View full text Add to dashboard Cite

We study the fundamental problem of distributed network formation among mobile agents of limited computational power that aim to achieve energy balance by wirelessly transmi ing and receiving energy in a peer-to-peer manner. Speci cally, we design simple distributed protocols consisting of a small number of states and interaction rules for the formation of arbitrary and k-ary tree networks. Furthermore, we evaluate (theoretically and also using computer simulations) a plethora of energy redistribution protocols that exploit di erent levels of knowledge in order to achieve desired energy distributions among the agents which require that every agent has exactly or at least twice the energy of the agents of higher depth, according to the structure of the network. Our study shows that without using any knowledge about the network structure, such energy distributions cannot be achieved in a timely manner, meaning that there might be high energy loss during the redistribution process. On the other hand, only a few extra bits of information seem to be enough to guarantee quick convergence to energy distributions that satisfy particular properties, yielding low energy loss. * A preliminary version of this paper entitled "Peer-to-peer energy-aware tree network formation" appeared in Proceedings of the 16th ACM International Symposium on Mobility Management and Wireless Access (MOBIWAC), pages 1-8, 20181-8, [Madhja et al., 2018. is full version extends the conference one in multiple ways. It contains all missing proofs of the theoretical statements and additional details on the correctness and e ciency of our methods for the lossless case. Besides presenting protocols only for the formation of arbitrary and binary tree networks, we now further present protocols for the formation of k-ary tree networks, for any integer k ≥ 2, building upon ideas used for binary trees. For such networks, we also show that it is possible to achieve particular energy distributions when there is no energy loss, by designing new protocols for these cases as well. e evaluation of our methods in the lossy case has been extended to compare the e ciency of the protocols in terms of the energy that has been lost until a stable energy distribution has been reached. Our discussion on related work, generalizations of our model and open problems has also been extended signi cantly. Moreover, many examples have been included throughout the paper to illustrate how all proposed protocols work in particular cases. We would like to thank Dimitrios Tsolovos for fruitful discussions at early stages of this work that led to the publication of the preliminary conference version of this paper. is work has been partially supported by the Greek State Scholarships Foundation (IKY), and by the Alexander S. Onassis Public Bene t Foundation.

show abstract

Wireless Power Transfer With Magnetic Resonator Coupling and Sleep/Active Strategy for a Drone Charging Station in Smart Agriculture

Jawad

Nordin

et al. 2019

IEEE Access

View full text Add to dashboard Cite

Drones can be used in agriculture applications to monitor crop yield and climate conditions and to extend the communication range of wireless sensor networks in monitoring areas. However, monitoring the climate conditions in agriculture applications faces challenges and limitations, such as drone flight time, power consumption, and communication distance, which are addressed in this study. Wireless power transfer (WPT) can be used to charge drone batteries. WPT using a magnetic resonant coupling (MRC) technique was considered in this study because it allows high transfer power and efficiency with tens of centimeters, power transfers can be achieved in misalignment situations, charging several devices simultaneously, and unaffected by weather conditions. WPT was practically implemented based on a solar cell using a proposed flat spiral coil (FSC) in the transmitter circuit and multiturn coil (MTC) in a receiver circuit (drone) for the alignment and misalignment of two coils at different distances. FSC and MTC improved power transfer and efficiency to 20.46 W and 85.25%, respectively, at 0 cm with the loaded system under alignment condition. In addition, the two coils achieved appropriate transfer efficiencies and power for charging the drone battery under misaligned conditions. The maximum power transfer and efficiency were 17.1 W and 71% for the misalignment condition, at an air gap of 1 cm between two coils when the system was loaded with the drone battery. Moreover, the battery life of the drone was extended to 851 minutes based on the proposed sleep/active strategy relative to the traditional operation (i.e., 25.84 minutes). Consequently, a 96.9% battery power saving was achieved based on this strategy. Comparison results showed that the proposed system outperformed some present techniques in terms of the transfer power, transfer efficiency, and drone battery life. The proposed WPT technique developed in this study has been proven to solve the misalignment issue. Thus it offers a great opportunity as a key deployment component for the automation of farming practices toward the Internet of Farming applications.INDEX TERMS Battery life, drone, energy efficiency, farming, flat spiral coil, flight time, multiturn coil, power consumption, wireless sensor network, solar panel. I. INTRODUCTIONDrones can be used in the agriculture field [1]-[3] to monitor crop yield and climate conditions and to extend the The associate editor coordinating the review of this manuscript and approving it for publication was el-Hadi M. Aggoune. communication range of monitoring areas. Drones can be equipped with several payloads, such as sensors, highresolution and infrared cameras, tracking, and a global positioning system (GPS), as a delivery vehicle [4]. These drones generally run on batteries powered with high energy, such as lithium batteries, to enable flight times of

show abstract

PowerShake

Cited by 18 publications

References 16 publications

Moneywork

Moneywork

Energy-aware tree network formation among computationally weak nodes

Wireless Power Transfer With Magnetic Resonator Coupling and Sleep/Active Strategy for a Drone Charging Station in Smart Agriculture

Contact Info

Product

Resources

About