An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA

Anthonya Barsha Rozario; Md Farhad Hossain

doi:10.1109/ICoICT.2018.8528767

An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA

Anthonya Barsha Rozario
, Md Farhad Hossain

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

7 Citations (Scopus)

Abstract

Machine-to-Machine (M2M) communications have now become a highly promising affiliate of the future fifth generation (5G) cellular networks. This paper proposes a novel architecture for M2M communications over cellular networks. k-mean clustering for machines as well as cluster head (CH) reselection method is applied in order to balance the power consumption within the machines to increase their battery life. For communication between CH and member machines, time division multiple access (TDMA) is proposed. On the other hand, for communication between CH and BS, non-orthogonal multiple access (NOMA) technology is considered. Performance of the proposed architecture is evaluated through extensive MATLAB simulations. Results clearly demonstrates the capability of the proposed architecture in improving the lifetime of machines and reducing communication delays. Comparisons with other counterparts also attests superior energy efficiency and delay performance of the proposed architecture.

Original language	English
Title of host publication	2018 6th International Conference on Information and Communication Technology, ICoICT 2018
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	18-23
Number of pages	6
ISBN (Electronic)	9781538645710
DOIs	https://doi.org/10.1109/ICoICT.2018.8528767
Publication status	Published - 8 Nov 2018
Externally published	Yes
Event	6th International Conference on Information and Communication Technology, ICoICT 2018 - Bandung, Indonesia Duration: 3 May 2018 → 4 May 2018

Publication series

Name	2018 6th International Conference on Information and Communication Technology, ICoICT 2018

Conference

Conference	6th International Conference on Information and Communication Technology, ICoICT 2018
Country/Territory	Indonesia
City	Bandung
Period	3/05/18 → 4/05/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Access to Document

10.1109/ICoICT.2018.8528767

Cite this

Rozario, A. B., & Hossain, M. F. (2018). An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA. In 2018 6th International Conference on Information and Communication Technology, ICoICT 2018 (pp. 18-23). Article 8528767 (2018 6th International Conference on Information and Communication Technology, ICoICT 2018). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICoICT.2018.8528767

Rozario, Anthonya Barsha ; Hossain, Md Farhad. / An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA. 2018 6th International Conference on Information and Communication Technology, ICoICT 2018. IEEE, Institute of Electrical and Electronics Engineers, 2018. pp. 18-23 (2018 6th International Conference on Information and Communication Technology, ICoICT 2018).

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title = "An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA",

abstract = "Machine-to-Machine (M2M) communications have now become a highly promising affiliate of the future fifth generation (5G) cellular networks. This paper proposes a novel architecture for M2M communications over cellular networks. k-mean clustering for machines as well as cluster head (CH) reselection method is applied in order to balance the power consumption within the machines to increase their battery life. For communication between CH and member machines, time division multiple access (TDMA) is proposed. On the other hand, for communication between CH and BS, non-orthogonal multiple access (NOMA) technology is considered. Performance of the proposed architecture is evaluated through extensive MATLAB simulations. Results clearly demonstrates the capability of the proposed architecture in improving the lifetime of machines and reducing communication delays. Comparisons with other counterparts also attests superior energy efficiency and delay performance of the proposed architecture.",

keywords = "5G cellular networks, Clustering, K-mean clustering, M2M communications, NOMA",

author = "Rozario, \{Anthonya Barsha\} and Hossain, \{Md Farhad\}",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 6th International Conference on Information and Communication Technology, ICoICT 2018 ; Conference date: 03-05-2018 Through 04-05-2018",

year = "2018",

month = nov,

day = "8",

doi = "10.1109/ICoICT.2018.8528767",

language = "English",

series = "2018 6th International Conference on Information and Communication Technology, ICoICT 2018",

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Rozario, AB & Hossain, MF 2018, An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA. in 2018 6th International Conference on Information and Communication Technology, ICoICT 2018., 8528767, 2018 6th International Conference on Information and Communication Technology, ICoICT 2018, IEEE, Institute of Electrical and Electronics Engineers, pp. 18-23, 6th International Conference on Information and Communication Technology, ICoICT 2018, Bandung, Indonesia, 3/05/18. https://doi.org/10.1109/ICoICT.2018.8528767

An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA. / Rozario, Anthonya Barsha; Hossain, Md Farhad.
2018 6th International Conference on Information and Communication Technology, ICoICT 2018. IEEE, Institute of Electrical and Electronics Engineers, 2018. p. 18-23 8528767 (2018 6th International Conference on Information and Communication Technology, ICoICT 2018).

Research output: A Conference proceeding or a Chapter in Book › Conference contribution › peer-review

TY - GEN

T1 - An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA

AU - Rozario, Anthonya Barsha

AU - Hossain, Md Farhad

PY - 2018/11/8

Y1 - 2018/11/8

N2 - Machine-to-Machine (M2M) communications have now become a highly promising affiliate of the future fifth generation (5G) cellular networks. This paper proposes a novel architecture for M2M communications over cellular networks. k-mean clustering for machines as well as cluster head (CH) reselection method is applied in order to balance the power consumption within the machines to increase their battery life. For communication between CH and member machines, time division multiple access (TDMA) is proposed. On the other hand, for communication between CH and BS, non-orthogonal multiple access (NOMA) technology is considered. Performance of the proposed architecture is evaluated through extensive MATLAB simulations. Results clearly demonstrates the capability of the proposed architecture in improving the lifetime of machines and reducing communication delays. Comparisons with other counterparts also attests superior energy efficiency and delay performance of the proposed architecture.

AB - Machine-to-Machine (M2M) communications have now become a highly promising affiliate of the future fifth generation (5G) cellular networks. This paper proposes a novel architecture for M2M communications over cellular networks. k-mean clustering for machines as well as cluster head (CH) reselection method is applied in order to balance the power consumption within the machines to increase their battery life. For communication between CH and member machines, time division multiple access (TDMA) is proposed. On the other hand, for communication between CH and BS, non-orthogonal multiple access (NOMA) technology is considered. Performance of the proposed architecture is evaluated through extensive MATLAB simulations. Results clearly demonstrates the capability of the proposed architecture in improving the lifetime of machines and reducing communication delays. Comparisons with other counterparts also attests superior energy efficiency and delay performance of the proposed architecture.

KW - 5G cellular networks

KW - Clustering

KW - K-mean clustering

KW - M2M communications

KW - NOMA

UR - https://www.scopus.com/pages/publications/85058393151

UR - https://2018.icoict.org/

U2 - 10.1109/ICoICT.2018.8528767

DO - 10.1109/ICoICT.2018.8528767

M3 - Conference contribution

AN - SCOPUS:85058393151

T3 - 2018 6th International Conference on Information and Communication Technology, ICoICT 2018

SP - 18

EP - 23

BT - 2018 6th International Conference on Information and Communication Technology, ICoICT 2018

PB - IEEE, Institute of Electrical and Electronics Engineers

T2 - 6th International Conference on Information and Communication Technology, ICoICT 2018

Y2 - 3 May 2018 through 4 May 2018

ER -

Rozario AB, Hossain MF. An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA. In 2018 6th International Conference on Information and Communication Technology, ICoICT 2018. IEEE, Institute of Electrical and Electronics Engineers. 2018. p. 18-23. 8528767. (2018 6th International Conference on Information and Communication Technology, ICoICT 2018). doi: 10.1109/ICoICT.2018.8528767

An architecture for M2M communications over cellular networks using clustering and hybrid TDMA-NOMA

Abstract

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