A Mode Based Approach for Characterizing Rf Propagation in Conduits

Howitt, I.; Khan, Muhammad Safeer

doi:10.2528/pierb09120807

Cited by 10 publications

(5 citation statements)

References 13 publications

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“…Channel measurements are often augmented with modeling and simulations to provide a wider assessment of system performances for different configurations in different scenarios [13][14][15]. Studies of wireless signal propagation to assess WSN performance in indoor and outdoor environments revealed that multipath fading significantly affects the accuracy of WSN applications such as in localization [16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

Ndzi¹,

Arif²,

Shakaff³

et al. 2012

PIER

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Abstract-This paper presents results of a study to characterise wireless point-to-point channel for wireless sensor networks applications in sport hard court arenas, grass fields and on roads. Antenna height and orientation effects on coverage are also studied and results show that for omni-directional patch antenna, node range is reduced by a factor of 2 when the antenna orientation is changed from vertical to horizontal. The maximum range for a wireless node on a hard court sport arena has been determined to be 70 m for 0 dBm transmission but this reduces to 60 m on a road surface and to 50 m on a grass field. For horizontal antenna orientation the range on the road is longer than on the sport court which shows that scattered signal components from the rougher road surface combine to extend the communication range. The channels investigated showed that packet error ratio (PER) is dominated by large-scale, rather than small-scale, channel fading with an abrupt transition from low PER to 100% PER. Results also show that large-scale received signal power can be modeled with a 2nd order log-distance polynomial equation on the sport court and road, but a 1st order model is sufficient for the grass field. Small-scale signal variations have been found to have a Rice distribution for signal to noise ratio levels greater than 10 dB but the Rice K-factor exhibits

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Section: Introductionmentioning

confidence: 99%

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

Ndzi¹,

Arif²,

Shakaff³

et al. 2012

PIER

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“…The prediction of microwave attenuation [22][23][24][25][26][27][28][29][30][31][32][33] is important in the analysis of wireless systems. Signal propagation is strongly affected by the dissipation of the power radiated by the transmitter that is related to the distance between the communicating nodes.…”

Section: An Application In Radio Wave Propagationmentioning

confidence: 99%

A Geometric Method for Computing the Nodal Distance Distribution in Mobile Networks

Baltzis

2011

PIER

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Abstract-This paper presents a geometrically based method for the calculation of the node-to-node distance distribution function in circular-shaped networks. In our approach, this function is obtained from the intersection volume of a sphere and an ellipsoid. The method is valid for both overlapping and non-overlapping networks. Simulation results and comparisons with methods in the literature demonstrate the efficacy of the approach. The relation between networks geometric parameters and distance statistics is explored. As an application example, we model distance-dependent path loss and investigate the impact of channel characteristics and networks size on signal absorption. The aforementioned model is a useful and lowcomplexity tool for system-level modeling and simulation of mobile communication systems.

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“…It is very important to study the indoor propagation since it can be used in many applications, namely, indoor communications and localization [1][2][3][4][5][6][7][8][9]. Here we will give a brief idea about the UHF band and the indoor propagation mechanism.…”

Section: Introductionmentioning

confidence: 99%

UHF Band Short Range Propagation Model

Ahmed

2013

Wireless Pers Commun

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Esta es la versión de autor de la comunicación de congreso publicada en: This is an author produced version of a paper published in: Results show that the indoor propagation gain can be described using two slopes propagation model. For the multiwall attenuation loss it is shown that each wall has an attenuation of almost 2.5 dB at 410 MHz increasing to almost 4 dB at 890 MHz. The obstruction gain (loss) due to human beings shows that this can be within a 40 dB interval.

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A Mode Based Approach for Characterizing Rf Propagation in Conduits

Cited by 10 publications

References 13 publications

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

Signal Propagation Analysis for Low Data Rate Wireless Sensor Network Applications in Sport Grounds and on Roads

A Geometric Method for Computing the Nodal Distance Distribution in Mobile Networks

UHF Band Short Range Propagation Model

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