<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>This research supports the possibility of implementing in a smart city, a wireless sensor network, with sensitive nodes in movements implemented in public transport system vehicles and static sink nodes located in a vehicular intersection. The methodology contemplates the influence of mobility in obtaining the parameters of network operation, through mathematical models and probabilistic calculations of the data collected through measurement campaigns carried out in a real traffic light intersection. A model is obtained to calculate the probability of success of the communication based on the speed of the sensitive node and the size of the payload.</p>
</abstract>

This research supports the possibility of implementing in a smart city, a wireless sensor network, with sensitive nodes in movements implemented in public transport system vehicles and static sink nodes located in a vehicular intersection. The methodology contemplates the influence of mobility in obtaining the parameters of network operation, through mathematical models and probabilistic calculations of the data collected through measurement campaigns carried out in a real traffic light intersection. A model is obtained to calculate the probability of success of the communication based on the speed of the sensitive node and the size of the payload.

Mobile Wireless Sensor Networks in a Smart City

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

{"article-title":"Mobile Wireless Sensor Networks in a Smart City"}

This research supports the possibility of implementing in a smart city, a wireless sensor network, with sensitive nodes in movements implemented in public...

		Time taken by buses to cross the cell = D
		D_min = 31s	$\bar{D} = 145, 17 s$	D_max = 309 s
Discovery time	$t_{{des}_{\min}} = 4, 087 s$	Payload = 258.364 bits	Payload = 1.354.396 bits	Payload = 2.927.164 bits
	$\bar{t_{des}} = 8, 1686 s$	Payload = 219.181 bits	Payload = 1.315.213 bits	Payload = 2.887.981 bits
	$t_{{des}_{\max}} = 18, 024 s$	Payload = 124.569 bits	Payload = 1.220.601 bits	Payload = 2.793.369 bits

Mobile Wireless Sensor Networks in a Smart City

Article Category: Research-Article

Data publikacji: 03 wrz 2018

Zakres stron: 1 - 8

Otrzymano: 01 mar 2018

Przyjęty: 23 kwi 2018

DOI: https://doi.org/10.21307/ijssis-2018-009

Słowa kluczowe
coverage, discovery time, measurement campaigns, MWSN, network operation parameters, payload

© 2018 Authors

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

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Payload depending on the times found.

Mobile Wireless Sensor Networks in a Smart City

Article Category: Research-Article

Data publikacji: 03 wrz 2018

Zakres stron: 1 - 8

Otrzymano: 01 mar 2018

Przyjęty: 23 kwi 2018

DOI: https://doi.org/10.21307/ijssis-2018-009

Słowa kluczowecoverage, discovery time, measurement campaigns, MWSN, network operation parameters, payload

© 2018 Authors

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Fig. 1

Fig. 2

Fig. 3

Fig. 4

Fig. 5

Fig. 6

Fig. 7

Payload depending on the times found.

Słowa kluczowe
coverage, discovery time, measurement campaigns, MWSN, network operation parameters, payload