Wireless passive sensor networks

Akan, O.B.; Isik, MT; Baykal, Buyurman

doi:10.1109/mcom.2009.5181898

Cited by 58 publications

(28 citation statements)

References 12 publications

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“…Using Eqs. 12 and 14, the maximum distance to induce 100 mV on the node for 4 W EIRP was calculated by [22]. At 2 GHz, 13 m range was observed; this distance increased to 26 m at 1 GHz and 51 m at 500 MHz.…”

Section: Saw System Operation Principlementioning

confidence: 99%

SAW sensor read range limitations and perspectives

Nawaz

Jeoti

2014

Wireless Netw

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Wireless monitoring systems with passive surface acoustic wave (SAW) sensors offer novel and prodigious perspectives for remote monitoring and control in harsh environments. This paper reviews the working principle of such passive sensors and their state-of-the-art behavior. All major fields of the SAW sensor require operation over a longer reading range, which is the current limitation, hindering the massive implementation of these passive devices. This foremost limitation of the SAW based sensor system occurs when the reply signal strength at the reader becomes too weak for reliable recognition and identification. SAW sensor network read range limitations and advanced techniques for its enhancement are deliberated. Deployment design to maintain the communication reliability and connectivity of the sensor/interrogators network is also discussed.

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Section: Saw System Operation Principlementioning

confidence: 99%

SAW sensor read range limitations and perspectives

Nawaz

Jeoti

2014

Wireless Netw

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“…By definition, passive sensors have no batteries and utilize modulated backscatter to send data to sink devices, which can be the same devices that supply power to them (resembling what RFID readers do) or not. In addition, there may be multiple sources of power in a same network, arranged in a clustered architecture for instance, in case a single source proves not to be enough (advantages and disadvantages of different powering topologies are discussed in [24]). If no RF power sources are active at a given moment of time, the energy stored in the passive sensor nodes eventually depletes and the they cease to function until a sufficient amount of energy is once again accumulated as a result of energy harvesting.…”

Section: Wireless Passive Sensor Network (Wpsns)mentioning

confidence: 99%

Design of a battery-free wireless sensor node

Fernandes

Carvalho

Matos

2011

2011 IEEE EUROCON - International Conference on Computer as a Tool

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AgradecimentosÉ verdade que o meu nomeé oúnico escrito na capa deste documento, mas isso não significa que eu tenha sido eu oúnico autor, e nem tão pouco que a lista de pessoas que contribuiram de uma forma ou de outra tenha sido propriamente pequena, e por isso, ao meu orientador, prof. .6MHz e a respectiva antena. Além de ser passivo, o sistema propostó e também programável, uma vez que o sensor integra um microcontrolador de uso geral, e inclui um conector de 50Ω e uma interface para depuração e expansão, composta por um total de 26 pinos. Em termos de performance prática, o sistema propostoé capaz de executar tarefas relacionadas com comunicação e processamento até um máximo de 4.1 metros de distância de uma antena transmissora a operar dentro das limitações impostas pelas entidades reguladoras locais, no que diz respeito a potência. KeywordsRF energy harvesting; electromagnetic energy harvesting; wireless sensor networks; RFID; backscatter modulation; RFID sensor networks; wireless passive sensor networks. AbstractWireless sensor networks are currently of primary importance in a multitude of applications, and therefore, it comes as no surprise that there are many types of sensor nodes as well. Yet, almost all of them operate on batteries that normally deplete long before the predicted life span of basically all the other hardware components. Not only that, the large size of the batteries is indeed actually preventing sensor nodes from becoming smaller. One way of overcoming the drawbacks related to batteries is to remove them and harvest all the necessary energy from electromagnetic waves being radiated by a nearby source. In this document, a wireless sensor node designed to harvest energy from radio waves at 866.6MHz and its antenna are proposed and described in detail. In addition to being passive, the proposed system is also programmable, given that the sensor node includes a general-purpose microcontroller, and features a 50Ω port, and an interface for debugging and expansion, comprised of a total of 26 pins. Lastly, with regards to practical performance, the proposed system is able to carry out communication and processing tasks at up to a distance of 4.1 meters away from a transmitter antenna radiating within the limits imposed by local regulatory entities, with respect to power.

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“…Indeed, thanks to novel effective methods and techniques for energy efficiency, the most recent computerized systems can maintain high performances for the same Watt unit [7]. It could seem that if the factor of performance per Watt does not improve over time, the electrical costs for keeping the systems in an active state would end-up much higher than the price of the hardware [8,9].…”

Section: Introductionmentioning

confidence: 99%

“…Although developments on battery capacities could be performed for increasing energy efficiency, the need for replacing low battery duration yet represents an unresolved problem [9][10][11]. In the worst case, the battery cannot be recharged enough.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficiency Evaluation of Dynamic Partial Reconfiguration in Field Programmable Gate Arrays: An Experimental Case Study

et al. 2018

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Both computational performances and energy efficiency are required for the development of any mobile or embedded information processing system. The Internet of Things (IoT) is the latest evolution of these systems, paving the way for advancements in ubiquitous computing. In a context in which a large amount of data is often analyzed and processed, it is mandatory to adapt node logic and processing capabilities with respect to the available energy resources. This paper investigates under which conditions a partially reconfigurable hardware accelerator can provide energy saving in complex processing tasks. The paper also presents a useful analysis of how the dynamic partial reconfiguration technique can be used to enable energy efficiency in a generic IoT node that exploits a Field Programmable Gate Array (FPGA) device. Furthermore, this work introduces a hardware infrastructure and new energy metrics tailored for the energy efficiency evaluation of the dynamic partial reconfiguration process in embedded FPGA based devices. Exploiting the ability of reconfiguring circuit portions at runtime, the latest generation of FPGAs can be used to foster a better balance between energy consumption and performance. More specifically, the design methodology for the implemented digital signal processing application was adapted for the ZedBoard. To this aim, a case study of a video filtering system is proposed and analyzed by dynamically loading three different hardware filters from the management software running on a Linux-based device. With more details, the presented analytical framework allows for a direct comparison between the energy efficiency of a dynamic partially reconfigurable device and a static non-reconfigurable one. The estimated timing conditions that allow the dynamic partially reconfigurable process to achieve relevant energy efficiency with respect to the corresponding static architecture are also outlined.

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Wireless passive sensor networks

Cited by 58 publications

References 12 publications

SAW sensor read range limitations and perspectives

SAW sensor read range limitations and perspectives

Design of a battery-free wireless sensor node

Energy Efficiency Evaluation of Dynamic Partial Reconfiguration in Field Programmable Gate Arrays: An Experimental Case Study

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