Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance

Yasir Mehmood; Thomas Pötsch; Safdar Nawaz Khan Marwat; Farhan Ahmad; Carmelita Görg; Imran Rashid

doi:10.1007/978-3-319-23512-7_25

Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance

Yasir Mehmood, Thomas Pötsch, Safdar Nawaz Khan Marwat, Farhan Ahmad, Carmelita Görg, Imran Rashid

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

Machine-to-machine (M2M) communication is an emerging paradigm in which trillions of intelligent devices are expected to communicate without or with small human intervention. The increasing M2M devices have severe impact on long-term evolution (LTE) data traffics. Moreover, the behavior of M2M traffic also differs from traditional mobile traffic. In future, logistics and transportations are considered to be the main M2M application areas. These applications disparately demand more efficient M2M traffic modeling to reduce end-to-end (E2E) delay between various interconnected machines. This paper investigates several traffic models and highlights the impact of M2M traffic in logistics and transportation on LTE data traffic. We evaluate the overall LTE network performance in terms of E2E delays for file transfer, voice, and video users.

Original language	English
Title of host publication	Dynamics in Logistics
Subtitle of host publication	Proceedings of the 4th International Conference LDIC, 2014 Bremen, Germany
Editors	Herbert Kotzab, Jürgen Pannek, Klaus-Dieter Thoben
Publisher	Springer, Cham
Pages	259-269
Number of pages	11
Edition	1st
ISBN (Electronic)	9783319235127
ISBN (Print)	9783319235110, 9783319794952
DOIs	https://doi.org/10.1007/978-3-319-23512-7_25
Publication status	Published - 22 Dec 2015
Externally published	Yes
Event	4th International Conference on Dynamics in Logistics - Hotel Munte, Bremen, Germany Duration: 10 Feb 2014 → 14 Feb 2014 Conference number: 4 http://www.2014.ldic-conference.org/

Publication series

Name	Lecture Notes in Logistics
Publisher	Springer Cham
ISSN (Print)	2194-8917
ISSN (Electronic)	2194-8925

Conference

Conference	4th International Conference on Dynamics in Logistics
Abbreviated title	LDIC 2014
Country/Territory	Germany
City	Bremen
Period	10/02/14 → 14/02/14
Internet address	http://www.2014.ldic-conference.org/

Access to Document

10.1007/978-3-319-23512-7_25Licence: Unspecified

Cite this

Mehmood, Y., Pötsch, T., Marwat, S. N. K., Ahmad, F., Görg, C., & Rashid, I. (2015). Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance. In H. Kotzab, J. Pannek, & K-D. Thoben (Eds.), Dynamics in Logistics: Proceedings of the 4th International Conference LDIC, 2014 Bremen, Germany (1st ed., pp. 259-269). (Lecture Notes in Logistics). Springer, Cham. https://doi.org/10.1007/978-3-319-23512-7_25

Mehmood, Yasir ; Pötsch, Thomas ; Marwat, Safdar Nawaz Khan et al. / Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance. Dynamics in Logistics: Proceedings of the 4th International Conference LDIC, 2014 Bremen, Germany. editor / Herbert Kotzab ; Jürgen Pannek ; Klaus-Dieter Thoben. 1st. ed. Springer, Cham, 2015. pp. 259-269 (Lecture Notes in Logistics).

@inproceedings{e5ea32aad6844e96b2e691959ac7eb5c,

title = "Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance",

abstract = "Machine-to-machine (M2M) communication is an emerging paradigm in which trillions of intelligent devices are expected to communicate without or with small human intervention. The increasing M2M devices have severe impact on long-term evolution (LTE) data traffics. Moreover, the behavior of M2M traffic also differs from traditional mobile traffic. In future, logistics and transportations are considered to be the main M2M application areas. These applications disparately demand more efficient M2M traffic modeling to reduce end-to-end (E2E) delay between various interconnected machines. This paper investigates several traffic models and highlights the impact of M2M traffic in logistics and transportation on LTE data traffic. We evaluate the overall LTE network performance in terms of E2E delays for file transfer, voice, and video users.",

keywords = "LTE, LTE data traffic, M2M, Traffic modeling",

author = "Yasir Mehmood and Thomas P{\"o}tsch and Marwat, {Safdar Nawaz Khan} and Farhan Ahmad and Carmelita G{\"o}rg and Imran Rashid",

note = "Funding Information: Acknowledgments We are thankful to International Graduate School for Dynamics in Logistics, University of Bremen, Germany and University of Engineering and Technology, Peshawar, Pakistan for supporting this work financially. Publisher Copyright: {\textcopyright} Springer International Publishing Switzerland 2016.; 4th International Conference on Dynamics in Logistics, LDIC 2014 ; Conference date: 10-02-2014 Through 14-02-2014",

year = "2015",

month = dec,

day = "22",

doi = "10.1007/978-3-319-23512-7_25",

language = "English",

isbn = "9783319235110",

series = "Lecture Notes in Logistics",

publisher = "Springer, Cham",

pages = "259--269",

editor = "Herbert Kotzab and J{\"u}rgen Pannek and Klaus-Dieter Thoben",

booktitle = "Dynamics in Logistics",

address = "Switzerland",

edition = "1st",

url = "http://www.2014.ldic-conference.org/",

}

Mehmood, Y, Pötsch, T, Marwat, SNK, Ahmad, F, Görg, C & Rashid, I 2015, Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance. in H Kotzab, J Pannek & K-D Thoben (eds), Dynamics in Logistics: Proceedings of the 4th International Conference LDIC, 2014 Bremen, Germany. 1st edn, Lecture Notes in Logistics, Springer, Cham, pp. 259-269, 4th International Conference on Dynamics in Logistics, Bremen, Bremen, Germany, 10/02/14. https://doi.org/10.1007/978-3-319-23512-7_25

Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance. / Mehmood, Yasir; Pötsch, Thomas; Marwat, Safdar Nawaz Khan et al.

Dynamics in Logistics: Proceedings of the 4th International Conference LDIC, 2014 Bremen, Germany. ed. / Herbert Kotzab; Jürgen Pannek; Klaus-Dieter Thoben. 1st. ed. Springer, Cham, 2015. p. 259-269 (Lecture Notes in Logistics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance

AU - Mehmood, Yasir

AU - Pötsch, Thomas

AU - Marwat, Safdar Nawaz Khan

AU - Ahmad, Farhan

AU - Görg, Carmelita

AU - Rashid, Imran

N1 - Conference code: 4

PY - 2015/12/22

Y1 - 2015/12/22

N2 - Machine-to-machine (M2M) communication is an emerging paradigm in which trillions of intelligent devices are expected to communicate without or with small human intervention. The increasing M2M devices have severe impact on long-term evolution (LTE) data traffics. Moreover, the behavior of M2M traffic also differs from traditional mobile traffic. In future, logistics and transportations are considered to be the main M2M application areas. These applications disparately demand more efficient M2M traffic modeling to reduce end-to-end (E2E) delay between various interconnected machines. This paper investigates several traffic models and highlights the impact of M2M traffic in logistics and transportation on LTE data traffic. We evaluate the overall LTE network performance in terms of E2E delays for file transfer, voice, and video users.

AB - Machine-to-machine (M2M) communication is an emerging paradigm in which trillions of intelligent devices are expected to communicate without or with small human intervention. The increasing M2M devices have severe impact on long-term evolution (LTE) data traffics. Moreover, the behavior of M2M traffic also differs from traditional mobile traffic. In future, logistics and transportations are considered to be the main M2M application areas. These applications disparately demand more efficient M2M traffic modeling to reduce end-to-end (E2E) delay between various interconnected machines. This paper investigates several traffic models and highlights the impact of M2M traffic in logistics and transportation on LTE data traffic. We evaluate the overall LTE network performance in terms of E2E delays for file transfer, voice, and video users.

KW - LTE

KW - LTE data traffic

KW - M2M

KW - Traffic modeling

UR - http://www.scopus.com/inward/record.url?scp=85101999509&partnerID=8YFLogxK

UR - https://link.springer.com/book/10.1007/978-3-319-23512-7

U2 - 10.1007/978-3-319-23512-7_25

DO - 10.1007/978-3-319-23512-7_25

M3 - Conference contribution

AN - SCOPUS:85101999509

SN - 9783319235110

SN - 9783319794952

T3 - Lecture Notes in Logistics

SP - 259

EP - 269

BT - Dynamics in Logistics

A2 - Kotzab, Herbert

A2 - Pannek, Jürgen

A2 - Thoben, Klaus-Dieter

PB - Springer, Cham

T2 - 4th International Conference on Dynamics in Logistics

Y2 - 10 February 2014 through 14 February 2014

ER -

Mehmood Y, Pötsch T, Marwat SNK, Ahmad F, Görg C, Rashid I. Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance. In Kotzab H, Pannek J, Thoben K-D, editors, Dynamics in Logistics: Proceedings of the 4th International Conference LDIC, 2014 Bremen, Germany. 1st ed. Springer, Cham. 2015. p. 259-269. (Lecture Notes in Logistics). Epub 2015 Dec 21. doi: 10.1007/978-3-319-23512-7_25

Impact of Machine-to-Machine Traffic on LTE Data Traffic Performance

Abstract

Publication series

Conference

Access to Document

Other files and links

Cite this