Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency

İzzet Fatih Şentürk; Siratigui Coulıbaly

doi:10.38088/jise.713809

EN

Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency

Abstract

Data collection is one of the key building blocks of smart city applications. Sheer number of sensors deployed across the city generate huge amount of data continuously. Due to their limited transmission range, sensors form a sensor network with a base station. The base station acts as a gateway between the network and the remote user and the generated data is collected by the base station. However, due to sensor locations and the transmission range the network may consist of several partitions. A typical solution is employing one or more mobile element(s) to collect data from partitions periodically. Mobile data collection enables intermittent connectivity between sensors and the base station. The major drawback of mobile data collection is increased data latency depending on the velocity of the mobiles. Another challenge is specifying importance for individual sensors in a smart city application. This study evaluates the impact of precedence-based routing of mobiles on data latency in a realistic manner through employing spatial data obtained from a geographic information system. Precedence levels for sensors are determined based on the amenity type of the building they monitor. Mobility of the mobiles is restricted with the drivable road network. The impact of the precedence-based routing according to total path length, maximum data collection delay, and the maximum data latency is evaluated. Obtained results indicate an increase in total path length up to 14% when precedence-based routing is applied. The results also suggest that precedence-based routing increases maximum data collection delay unless the amenity type has fewer points of interest to monitor.

Keywords

Smart City,Wireless Sensor Network,Data Collection,Route Planning,Data Latency

Supporting Institution

TÜBİTAK

Project Number

117E050

Thanks

This work was supported by the Scientific and Technical Research Council of Turkey (TUBITAK) under Grant No. EEEAG-117E050. Map data copyrighted OpenStreetMap contributors and available from https://www.openstreetmap.org

References

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Details

Primary Language

English

Subjects

Engineering

Journal Section

Research Article

Authors

İzzet Fatih Şentürk ^*
0000-0002-1550-563X
Türkiye

Siratigui Coulıbaly
0000-0003-4505-2739
Türkiye

Publication Date

June 15, 2020

Submission Date

April 2, 2020

Acceptance Date

May 5, 2020

Published in Issue

Year 2020 Volume: 4 Number: 1

DOI

https://doi.org/10.38088/jise.713809

IZ

https://izlik.org/JA53TJ44FM

Cite

RIS / Bibtex

APA

Şentürk, İ. F., & Coulıbaly, S. (2020). Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency. Journal of Innovative Science and Engineering, 4(1), 22-34. https://doi.org/10.38088/jise.713809

AMA

1.Şentürk İF, Coulıbaly S. Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency. JISE. 2020;4(1):22-34. doi:10.38088/jise.713809

Chicago

Şentürk, İzzet Fatih, and Siratigui Coulıbaly. 2020. “Mobile Data Collection in Smart City Applications: The Impact of Precedence-Based Route Planning on Data Latency”. Journal of Innovative Science and Engineering 4 (1): 22-34. https://doi.org/10.38088/jise.713809.

EndNote

Şentürk İF, Coulıbaly S (June 1, 2020) Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency. Journal of Innovative Science and Engineering 4 1 22–34.

IEEE

[1]İ. F. Şentürk and S. Coulıbaly, “Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency”, JISE, vol. 4, no. 1, pp. 22–34, June 2020, doi: 10.38088/jise.713809.

ISNAD

Şentürk, İzzet Fatih - Coulıbaly, Siratigui. “Mobile Data Collection in Smart City Applications: The Impact of Precedence-Based Route Planning on Data Latency”. Journal of Innovative Science and Engineering 4/1 (June 1, 2020): 22-34. https://doi.org/10.38088/jise.713809.

JAMA

1.Şentürk İF, Coulıbaly S. Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency. JISE. 2020;4:22–34.

MLA

Şentürk, İzzet Fatih, and Siratigui Coulıbaly. “Mobile Data Collection in Smart City Applications: The Impact of Precedence-Based Route Planning on Data Latency”. Journal of Innovative Science and Engineering, vol. 4, no. 1, June 2020, pp. 22-34, doi:10.38088/jise.713809.

Vancouver

1.İzzet Fatih Şentürk, Siratigui Coulıbaly. Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency. JISE. 2020 Jun. 1;4(1):22-34. doi:10.38088/jise.713809

Cited By

Smartness and Strategic Priority Assessment in Transition to Mobility 4.0 for Smart Cities

Journal of Intelligent Systems: Theory and Applications

https://doi.org/10.38016/jista.933005

https://doi.org/

Öz

Mobile Data Collection in Smart City Applications: The Impact of Precedence-based Route Planning on Data Latency

Abstract

Keywords

Supporting Institution

Project Number

Thanks

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

Cite

Cited By

Smartness and Strategic Priority Assessment in Transition to Mobility 4.0 for Smart Cities