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Mobile Wireless Sensor Networks in a Smart City

Jorge Gomez-Rojas

Jorge Gomez-Rojas

College of Engineering, Universidad del MagdalenaSanta Marta, Colombia
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Gomez-Rojas, Jorge
, 
Luis Camargo

Luis Camargo

College of Engineering, Universidad del MagdalenaSanta Marta, Colombia
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Camargo, Luis
 e 
Ruben Montero

Ruben Montero

College of Engineering, Universidad del MagdalenaSanta Marta, Colombia
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Montero, Ruben
  
03 set 2018
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Categoria dell'articolo: Research-Article
Pubblicato online: 03 set 2018
Pagine: 1 - 8
Ricevuto: 01 mar 2018
Accettato: 23 apr 2018
DOI: https://doi.org/10.21307/ijssis-2018-009
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© 2018 Authors
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

Test scenario.
Test scenario.

Fig. 2

Path loss.
Path loss.

Fig. 3

Function of the cumulative exponential distribution.
Function of the cumulative exponential distribution.

Fig. 4

Probability that the mobile sensor node requires another cell.
Probability that the mobile sensor node requires another cell.

Fig. 5

Probability of success in transmission depending on speed.
Probability of success in transmission depending on speed.

Fig. 6

Probability of success in the transmission depending on the payload.
Probability of success in the transmission depending on the payload.

Fig. 7

Probability that the mobile sensor node requires another cell.
Probability that the mobile sensor node requires another cell.

Payload depending on the times found_

Time taken by buses to cross the cell = D
Dmin = 31s D¯=145,17s Dmax = 309 s
Discovery time tdesmin=4,087s Payload = 258.364 bits Payload = 1.354.396 bits Payload = 2.927.164 bits
tdes¯=8,1686s Payload = 219.181 bits Payload = 1.315.213 bits Payload = 2.887.981 bits
tdesmax=18,024s Payload = 124.569 bits Payload = 1.220.601 bits Payload = 2.793.369 bits
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