RFID-Based Sensors for Zero-Power Autonomous Wireless Sensor Networks

Cook, Benjamin S.; Vyas, Rushi; Kim, Sangkil; Thai, Trang; Le, Taoran; Traille, Anya; Aubert, Hervé; Tentzeris, Manos M.

doi:10.1109/jsen.2013.2297436

Cited by 81 publications

(35 citation statements)

References 41 publications

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“…Therefore, the closer the member nodes are to the CH, the lesser will be the amount of energy they consume to transmit data they have sensed [10,23]. SP 3 is defined by Eq.…”

Section: The Distance Between Node and Its Neighboring Nodesmentioning

confidence: 99%

“…Clustering allows most of the sensors (i.e., other members of the clusters) to communicate more closely (i.e., they communicate through adjacent CHs), and only a small number of nodes (i.e., CHs) need to communicate with a remote base station or other cluster heads [10]. In these protocols, the whole network is divided into several clusters and a node is selected as CH in each cluster [11].…”

Section: Introductionmentioning

confidence: 99%

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EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

Barati

Movaghar

Rahmani

2015

Wireless Pers Commun

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Wireless sensor networks (WSNs) comprise a large number of small sensor nodes scattered across limited geographical areas. The nodes in such networks carry sources of limited and mainly unchangeable energy. Therefore, it is necessary that these networks operate under energy efficient protocols and structures. Energy efficient clustering algorithms have been developed to reduce the networks energy consumption and extend its lifetime. This paper presents an innovative cluster-based communication protocol for WSNs. In order to reduce communication overhead, the authors propose an Energy Aware Clustering Hierarchy Protocol that creates a multi-level hierarchical structure to adequately route and collect data in WSN. The paper also propose an efficient clustering protocol which selects the best cluster head (CH) available and considers criteria such as residual energy, lower communication costs, cluster density, and minimum distance between cluster heads, cluster members and base station in order to contribute to an extension of network lifetime. Through extensive simulations, we show that our proposed protocol consumes the lowest amount of energy during the clustering process, selects the right number of CHs, and completes the clustering process quickly, when compared to state-of-the-art clustering mechanisms in WSN.

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“…Therefore, the closer the member nodes are to the CH, the lesser will be the amount of energy they consume to transmit data they have sensed [10,23]. SP 3 is defined by Eq.…”

Section: The Distance Between Node and Its Neighboring Nodesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

Barati

Movaghar

Rahmani

2015

Wireless Pers Commun

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show abstract

“…When network devices are powered by very low-capacity batteries, for instance in [20], the previous solution becomes infeasible. In this case it will be necessary to implement estimation algorithms directly at network level where all information necessary, such as the total capacity of the battery, the energy required for data transmission or reception, the charging rate of the battery and so on, must be known.…”

Section: B Teds-based Solutionmentioning

confidence: 99%

ISO/IEC/IEEE 21451 Compliant Sensor Nodes for Energy-Aware Wireless Sensor Networks

Giorgi

2015

IEEE Sensors J.

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Much attention is focused nowadays on the developing of energy-aware wireless sensor and actuator network (WSAN) and in particular on implementing network control algorithms by exploiting the ability of a sensor to reliably estimate and report its energy status at network level where energy-saving strategies can be implemented. This poses the attention on how a sensor may transfer information regarding its energy resources at network level in a standardized way. In this paper, we face the problem concerning the realization of energy-aware WSAN by using ISO/IEC/IEEE 21451 compliant sensor nodes. To this end, some guidelines on how exploiting the capability of the current version of the ISO/IEC/IEEE 21451 standard to obtain information about the energy-status of network nodes will be reported and, furthermore, some extensions for overcoming the existing shortcomings will finally be proposed

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“…Recently, Cook and Grenier proposed an innovative technique that combines RFID, planar resonators, and microfluidic networks for quick and precise biological analysis . The development of efficient permittivity characterization is thus often based on resonant devices with a superimposed microfluidic channel.…”

Section: Introductionmentioning

confidence: 99%

Dielectric characterization based on a printable resonant stub in air and a liquid environment

Guerchouche

Herth

Calvet

et al. 2017

Phys. Status Solidi A

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Phone: +33(0)169153775, Fax: +33 (0)1 69 15 40 50This paper develops a new approach for in situ characterization of specific dielectric-based products that are located in complex geometric containers. The method uses a resonant T-topology of microstrip lines realized on a flexible substrate. This narrowband interferometric technique consists of determining the dielectric properties via the resonance characteristics of a flexible band-stop filter. The system is designed for the application of RFID (Radio-Frequency IDentication) traceability. The proof of principle is validated experimentally and a complete comparison between an analytical approach and electromagnetic simulations are presented. The flexibility of the proposed solution allows the characterization of the liquid and container in the final form. This study highlights several measurement optimization strategies that can be combined when a material is loaded with a constituent containing alcohol concentrations ranging from 0 to 37%. The parameters extracted for the loss tangent and the relative permittivities demonstrate an accurate technique with a precision better than 5%.

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RFID-Based Sensors for Zero-Power Autonomous Wireless Sensor Networks

Cited by 81 publications

References 41 publications

EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

EACHP: Energy Aware Clustering Hierarchy Protocol for Large Scale Wireless Sensor Networks

ISO/IEC/IEEE 21451 Compliant Sensor Nodes for Energy-Aware Wireless Sensor Networks

Dielectric characterization based on a printable resonant stub in air and a liquid environment

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