EENC - Energy efficient nested clustering in UASN

Syed Hassan Ahmed; Abdul Wahid; Dongkyun Kim

doi:10.1145/2554850.2555068

EENC - Energy efficient nested clustering in UASN

Syed Hassan Ahmed
, Abdul Wahid
, Dongkyun Kim

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

17 Scopus citations

Abstract

Energy efficiency in Underwater Acoustic Sensor Network (UASN) is a key challenge for extending network lifetime. Base on analysis of energy consumption for LEACH in underwater channel, we propose a novel clustering scheme for UASN based on grouping nodes to ensure that nodes balance energy load by considering residual energy of candidate nodes. We introduce a formation of small clusters (groups) within clusters named as Nested Clustering (NC). Our Energy Efficient Nested Clustering (EENC) scheme divides each cluster into small groups and nodes in each of those small groups switch their operation modes (idle and awake) to achieve energy efficiency. Through simulation results, it is observed that our proposed EENC scheme has better network lifetime and optimized data duplication as compared to the existing clustering schemes.

Original language	English
Title of host publication	Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014
Publisher	Association for Computing Machinery
Pages	706-710
Number of pages	5
ISBN (Print)	9781450324694
DOIs	https://doi.org/10.1145/2554850.2555068
State	Published - 2014
Event	29th Annual ACM Symposium on Applied Computing, SAC 2014 - Gyeongju, Korea, Republic of Duration: 24 Mar 2014 → 28 Mar 2014

Publication series

Name	Proceedings of the ACM Symposium on Applied Computing

Conference

Conference	29th Annual ACM Symposium on Applied Computing, SAC 2014
Country/Territory	Korea, Republic of
City	Gyeongju
Period	24/03/14 → 28/03/14

UN SDGs

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

SDG 7 Affordable and Clean Energy

Keywords

EENC
Energy Efficiency
LEACH (L)
Nested Clusters
UASN

Access to Document

10.1145/2554850.2555068

Cite this

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title = "EENC - Energy efficient nested clustering in UASN",

abstract = "Energy efficiency in Underwater Acoustic Sensor Network (UASN) is a key challenge for extending network lifetime. Base on analysis of energy consumption for LEACH in underwater channel, we propose a novel clustering scheme for UASN based on grouping nodes to ensure that nodes balance energy load by considering residual energy of candidate nodes. We introduce a formation of small clusters (groups) within clusters named as Nested Clustering (NC). Our Energy Efficient Nested Clustering (EENC) scheme divides each cluster into small groups and nodes in each of those small groups switch their operation modes (idle and awake) to achieve energy efficiency. Through simulation results, it is observed that our proposed EENC scheme has better network lifetime and optimized data duplication as compared to the existing clustering schemes.",

keywords = "EENC, Energy Efficiency, LEACH (L), Nested Clusters, UASN",

author = "Ahmed, \{Syed Hassan\} and Abdul Wahid and Dongkyun Kim",

year = "2014",

doi = "10.1145/2554850.2555068",

language = "English",

isbn = "9781450324694",

series = "Proceedings of the ACM Symposium on Applied Computing",

publisher = "Association for Computing Machinery",

pages = "706--710",

booktitle = "Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014",

note = "29th Annual ACM Symposium on Applied Computing, SAC 2014 ; Conference date: 24-03-2014 Through 28-03-2014",

}

Ahmed, SH, Wahid, A & Kim, D 2014, EENC - Energy efficient nested clustering in UASN. in Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014. Proceedings of the ACM Symposium on Applied Computing, Association for Computing Machinery, pp. 706-710, 29th Annual ACM Symposium on Applied Computing, SAC 2014, Gyeongju, Korea, Republic of, 24/03/14. https://doi.org/10.1145/2554850.2555068

EENC - Energy efficient nested clustering in UASN. / Ahmed, Syed Hassan; Wahid, Abdul; Kim, Dongkyun.
Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014. Association for Computing Machinery, 2014. p. 706-710 (Proceedings of the ACM Symposium on Applied Computing).

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

TY - GEN

T1 - EENC - Energy efficient nested clustering in UASN

AU - Ahmed, Syed Hassan

AU - Wahid, Abdul

AU - Kim, Dongkyun

PY - 2014

Y1 - 2014

N2 - Energy efficiency in Underwater Acoustic Sensor Network (UASN) is a key challenge for extending network lifetime. Base on analysis of energy consumption for LEACH in underwater channel, we propose a novel clustering scheme for UASN based on grouping nodes to ensure that nodes balance energy load by considering residual energy of candidate nodes. We introduce a formation of small clusters (groups) within clusters named as Nested Clustering (NC). Our Energy Efficient Nested Clustering (EENC) scheme divides each cluster into small groups and nodes in each of those small groups switch their operation modes (idle and awake) to achieve energy efficiency. Through simulation results, it is observed that our proposed EENC scheme has better network lifetime and optimized data duplication as compared to the existing clustering schemes.

AB - Energy efficiency in Underwater Acoustic Sensor Network (UASN) is a key challenge for extending network lifetime. Base on analysis of energy consumption for LEACH in underwater channel, we propose a novel clustering scheme for UASN based on grouping nodes to ensure that nodes balance energy load by considering residual energy of candidate nodes. We introduce a formation of small clusters (groups) within clusters named as Nested Clustering (NC). Our Energy Efficient Nested Clustering (EENC) scheme divides each cluster into small groups and nodes in each of those small groups switch their operation modes (idle and awake) to achieve energy efficiency. Through simulation results, it is observed that our proposed EENC scheme has better network lifetime and optimized data duplication as compared to the existing clustering schemes.

KW - EENC

KW - Energy Efficiency

KW - LEACH (L)

KW - Nested Clusters

KW - UASN

UR - https://www.scopus.com/pages/publications/84905647624

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DO - 10.1145/2554850.2555068

M3 - Conference contribution

AN - SCOPUS:84905647624

SN - 9781450324694

T3 - Proceedings of the ACM Symposium on Applied Computing

SP - 706

EP - 710

BT - Proceedings of the 29th Annual ACM Symposium on Applied Computing, SAC 2014

PB - Association for Computing Machinery

T2 - 29th Annual ACM Symposium on Applied Computing, SAC 2014

Y2 - 24 March 2014 through 28 March 2014

ER -

EENC - Energy efficient nested clustering in UASN

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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Cite this