Wireless sensor networks: applications and challenges of ubiquitous sensing

Puccinelli, Daniele; Haenggi, Martin

doi:10.1109/mcas.2005.1507522

Cited by 510 publications

(246 citation statements)

References 42 publications

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“…There are usually two types of RFID according to the power source: active RFID and passive RFID [9]. Active RFID is less advantageous than passive RFID in terms of its tag cost, size, and battery management, but more advantages in term of sensing nature, its nature, sensing rate ad sensing distance.…”

Section: Iiiradio Frequency Identificationmentioning

confidence: 99%

Lifetime Analysis of a Slotted Aloha-Based Wireless Sensor Network Using a Cross-Layer Frame Rate Adaptation Scheme

Devi¹

2015

IJAREEIE

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ABSTRACT:A wireless sensor network consists of a large number of nodes spread over a specific area where we want to look after at the changes going on there. A sensor node generally consists of sensors, actuators, memory, a processor and they do have communication ability. All the sensor nodes are allowed to communicate through a wireless medium. The wireless medium may either of radio frequencies, infrared or any other medium, of course, having no wired connection. Many techniques are proposed for energy saving, Clustering is one of them. In this technique, the clusters are formed by clustering of the grouping nodes. The cluster heads are elected periodically such that members of a cluster can communicate with their cluster heads. These cluster heads send data received from its members to a base station. The multi clustering can also be used. RFID is used in it. The cluster head should have to be rotated for the balancing of energy and then there will be equal load on every node.A master node is deployed within sensor network that is synchronized with GPS. Master node gives the timing information to all sensor nodes so they all are synchronized to each other.

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Section: Iiiradio Frequency Identificationmentioning

confidence: 99%

Lifetime Analysis of a Slotted Aloha-Based Wireless Sensor Network Using a Cross-Layer Frame Rate Adaptation Scheme

Devi¹

2015

IJAREEIE

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“…As their use becomes more widespread, especially in time critical applications, so too is the need to ensure that they are reliable and can meet quality of service requirements. Detailed knowledge of wireless signal propagation within the specific environment is essential to ensure reliability in network performance [1].…”

Section: Introductionmentioning

confidence: 99%

Analysis of Signal Propagation in an Experiment Room with Epoxy Covered Floor for Wireless Sensor Network Applications

et al. 2017

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Abstract.As sensor applications combined with wireless network becoming more of an everyday applications, the optimal deployment becomes ever increasing important as that would be a key important factor in the trade-off between cost and link quality. This paper reports on the effect of epoxy covered floor on signal propagation characteristics in an experiment room. Microchip developed motes were used to measure signal propagation in an experiment room where sensors would be deployed extensively. The results show that the signal strength for 30 cm antenna height provides a significant margin with respect to signal noise floor. As for the 5 cm antenna height, there is still around 25 dB margin in average before the signal reaches noise floor. Analysis shows that the log-distance model is the best fit to the measured data. Free Space Loss model seemed to under estimate the overall performance of the signals. An important conclusion from this study is that wireless mote deployment must consider the margin between the two signals of antenna heights and the margin to noise floor to avoid link quality deterioration especially for sensitive data acquisition applications.

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“…Furthermore, we outline that the proposed reconfigurable antenna is valid for graphene-based Yagi-Uda antennas with more radiation patterns (i.e., 6-, 8-patterns and so on). Such antennas with high directionality (i.e., high gain) could be ideal for a number of applications including wireless sensor networks, 26 and the last mile access network employing hybrid free space optics and radio frequency technologies, 27 which offer improved link performance. Due to the advancement of the planar implementations, the graphene-metal hybrid implementation in Refs.…”

Section: Introductionmentioning

confidence: 99%

Graphene-based Yagi-Uda antenna with reconfigurable radiation patterns

Jiao

et al. 2016

AIP Advances

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This paper presents a radiation pattern reconfigurable Yagi-Uda antenna based on graphene operating at terahertz frequencies. The antenna can be reconfigured to change the main beam pattern into two or four different radiation directions. The proposed antenna consists of a driven dipole radiation conductor, parasitic strips and embedded graphene. The hybrid graphene-metal implementation enables the antenna to have dynamic surface conductivity, which can be tuned by changing the chemical potentials. Therefore, the main beam direction, the resonance frequency, and the front-to-back ratio of the proposed antenna can be controlled by tuning the chemical potentials of the graphene embedded in different positions. The proposed two-beam reconfigurable Yagi-Uda antenna can achieve excellent unidirectional symmetrical radiation pattern with the front-to-back ratio of 11.9 dB and the10-dB impedance bandwidth of 15%. The different radiation directivity of the two-beam reconfigurable antenna can be achieved by controlling the chemical potentials of the graphene embedded in the parasitic stubs. The achievable peak gain of the proposed two-beam reconfigurable antenna is about 7.8 dB. Furthermore, we propose a four-beam reconfigurable Yagi-Uda antenna, which has stable reflection-coefficient performance although four main beams in reconfigurable cases point to four totally different directions. The corresponding peak gain, front-to-back ratio, and 10-dB impedance bandwidth of the four-beam reconfigurable antenna are about 6.4 dB, 12 dB, and 10%, respectively. Therefore, this novel design method of reconfigurable antennas is extremely promising for beam-scanning in terahertz and mid-infrared plasmonic devices and systems.

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Wireless sensor networks: applications and challenges of ubiquitous sensing

Cited by 510 publications

References 42 publications

Lifetime Analysis of a Slotted Aloha-Based Wireless Sensor Network Using a Cross-Layer Frame Rate Adaptation Scheme

Lifetime Analysis of a Slotted Aloha-Based Wireless Sensor Network Using a Cross-Layer Frame Rate Adaptation Scheme

Analysis of Signal Propagation in an Experiment Room with Epoxy Covered Floor for Wireless Sensor Network Applications

Graphene-based Yagi-Uda antenna with reconfigurable radiation patterns

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