Tag-based cooperative data gathering and energy recharging in wide area RFID sensor networks

Farris, Ivan; Militano, Leonardo; Molinaro, Antonella; Spinella, S. C.

doi:10.1016/j.adhoc.2015.07.001

Cited by 25 publications

(13 citation statements)

References 34 publications

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“…The authors in [326] attempted to provide solutions to handle joint energy replenishment and data gathering in largescale WISPs. In the first approach, the data is stored in the RFID tags temporarily and later collected and forwarded to the data sink through the readers.…”

Section: A Offline Charger Dispatch Strategymentioning

confidence: 99%

“…However, there was no simulation evaluation to examine its performance. [296] Single No PPC Distributed TA, SS Xie et al [299] Single No PPC Centralized TA,NS Shi et al [300] Single No PPC Centralized TA, NS Xie et al [301] Single No PMC Centralized TA, NS Xie et al [302] Single No PMC Centralized TA, NS Xie et al [303] Single No PMC Centralized TA, NS Qin et al [304] Single No PMC Centralized NS Fu et al [305] Single No PMC Centralized NS Wang et al [312] Single No PPC Centralized NS Dai et al [313] Single No PPC Centralized TA, NS Jiang et al [314] Single No PPC Centralized TA, NS Peng et al [316] Single Yes PPC Centralized Experiment Li et al [317] Single Yes PMC Centralized TA, NS He et al [319] Single No PPC Centralized TA, NS Beigel et al [320] Multiple No PPC Centralized TA, NS Wu et al [321] Multiple Yes PPC Centralized TA Dai et al [322] Multiple Yes PPC Centralized TA, NS Liang et al [324] Multiple Yes PPC Centralized TA, NS Wang et al [325] Multiple No PPC Centralized TA, SS Farris et al [326] Multiple No PPC Centralized NS Madhja et al [327] Multiple Yes PPC Distributed NS The focus of [339] and [340] was to study a safe wireless charging strategy under electromagnetic radiation regulation. In [339], the authors investigated an equivalent problem to the point provisioning problem.…”

Section: A Static Wireless Charger Deploymentmentioning

confidence: 99%

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Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Wang

Niyato

et al. 2016

IEEE Commun. Surv. Tutorials

863

395

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Abstract-Wireless charging is a technology of transmitting power through an air gap to electrical devices for the purpose of energy replenishment. The recent progress in wireless charging techniques and development of commercial products have provided a promising alternative way to address the energy bottleneck of conventionally portable battery-powered devices. However, the incorporation of wireless charging into the existing wireless communication systems also brings along a series of challenging issues with regard to implementation, scheduling, and power management. In this article, we present a comprehensive overview of wireless charging techniques, the developments in technical standards, and their recent advances in network applications. In particular, with regard to network applications, we review the static charger scheduling strategies, mobile charger dispatch strategies and wireless charger deployment strategies. Additionally, we discuss open issues and challenges in implementing wireless charging technologies. Finally, we envision some practical future network applications of wireless charging.

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Section: A Offline Charger Dispatch Strategymentioning

confidence: 99%

Section: A Static Wireless Charger Deploymentmentioning

confidence: 99%

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Wang

Niyato

et al. 2016

IEEE Commun. Surv. Tutorials

863

395

View full text Add to dashboard Cite

show abstract

“…Target tracking and war zones cost, low-power, and multifunctional sensor have attracted a great deal of research attention, in that sensor nodes can perform intelligent cooperative tasks under stringent constrains in terms of energy and computational However, most previous research work only considers the scenario where a WSN is dedicated to a single sensing task, and such application prone to high deployment costs, low service reutilization and difficult hardware recycling [ In a sensor network, each node acts as both a sensor and router, with limited computing and communications capabilities, and storage capacity. However, in many WSN applications, the deployment of sensor nodes is performed in harsh environments, which makes sensor replacement difficult and expensive [8][9][10]. Thus, in many scenarios, wireless nodes must operate without battery replacement for a long period of time.…”

mentioning

confidence: 99%

Intelligent Energy Aware Routing IERA Algorithm based on Dynamic Sink Nodes

S¹,

Balakrishnan²

2017

IJTSRD

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The emergence of big data and cloud technology has driven a fast development of wireless sensor networks (WSNs) [1-4]. A sensor node is normally comprised of one or more sensor units, a power supply unit, a data processing unit, data storage, and a data transmission unit [5]. A wireless sensor network is a collection of wireless nodes with limited energy that may be mobile or stationary and are located randomly in a dynamically changing environment. Wireless sensor networks hold the promise of revolutionizing the way we observe and interact with the physical world in a wide range of application domains such as environmental sensing, habitat monitoring and tracking, military defence, etc. [6]. A variety of disciplines uses the WSNs for numerous applications like monitoring of specific features or targets especially in rescue and surveillance applications, medical, engineering and industrial applications and many more. As they are easy to handle because of the small size and is of affordable cost the use of such sensors became common. Besides that they can be deployed in areas like underground, underwater or the normal landscape which made it more feasible. Now a day's everywhere we can see the surveillance equipments which are deployed with sensors. Smart home environments are yet another application. Lot many applications in medical field use WSNs like patient monitoring. Target tracking and war zones extensively rely on these. The characteristics of low-cost, low multifunctional sensor have attracted a great deal of research attention, in that sensor nodes can perform intelligent cooperative tasks under stringent constrains @ IJTSRD |

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“…As a consequence, many studies confirm that battery-less RFID tags can be very helpful in indoor environments to support smart home [4] and e-health [5] applications. Moreover, equipping the RFID sensor tag with a capacitor for long-run sensing activities [6,7] paves the way to a wider range of applications, such as data logging or environmental sensing also in wide-range scenarios [8,9].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a CoAP-Compliant Solution for RFID Inclusion in the Internet of Things

Farris

Pizzi

Molinaro

2016

JSAN

Self Cite

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Recent technological advancements allowed widening the applicability scope of the RFID (Radio Frequency Identification) technology from item identification to sensor-enabled computation platforms. This feature, added to the native radio energy-harvesting capability and the extremely low power consumption, has attracted the interest of research and industrial communities and pushed them to include the RFID technology into a global network of interconnected objects, as envisaged by the Internet of Things paradigm. In the last few years, standardization bodies have made significant efforts to design lightweight approaches, such as CoAP (Constrained Application Protocol), to efficiently manage resource-constrained nodes by using traditional web interfaces; nevertheless, RFID integration is not addressed yet. In this paper, we propose a CoAP-compliant solution where RFID tags, behaving as virtual CoAP servers, are directly accessible by remote CoAP clients via a reader, which acts as a CoAP proxy. A real testbed, addressing key aspects, such as tag addressing, discovery and management of CoAP requests via RFID operations, is deployed to validate the feasibility of the proposal. Experimental results show rapid response times: less than 60 ms are requested for resource retrieval, while from 80 to 360 ms for sending data to the RFID device, depending on the tag memory dimension.

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Tag-based cooperative data gathering and energy recharging in wide area RFID sensor networks

Cited by 25 publications

References 34 publications

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Wireless Charging Technologies: Fundamentals, Standards, and Network Applications

Intelligent Energy Aware Routing IERA Algorithm based on Dynamic Sink Nodes

Design and Implementation of a CoAP-Compliant Solution for RFID Inclusion in the Internet of Things

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