Adaptive and energy efficient clustering architecture for dynamic sensor networks

E. M. Saad, M. H. Awadalla, M. A. Saleh, H. Keshk, R. R. Darwish

Research output: Chapter in Book/Report/Conference proceedingConference contribution

13 Citations (Scopus)

Abstract

Clustering is an effective topology control approach in sensor networks. This paper proposes a distributed and adaptive clustering architecture for dynamic sensor networks. The proposed architecture comprises an approach for energy-efficient clustering with adaptive node activity for achieving a good performance in terms of system lifetime and network coverage quality. This architecture demonstrates a uniform cluster head distribution across the network in addition to a desirable network coverage. Furthermore, the paper presents an analytical approach to disclose the relationship between network density and coverage quality. Experiments were conducted to validate the proposed architecture. The analytical and simulation results demonstrate that the proposed architecture prolongs network lifetime meanwhile preserving a highly coverage quality.

Original languageEnglish
Title of host publicationSOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings
Pages221-225
Number of pages5
DOIs
Publication statusPublished - 2007
Event2nd IEEE International Workshop on Soft Computing Applications, SOFA 2007 - Oradea
Duration: Aug 21 2007Aug 23 2007

Other

Other2nd IEEE International Workshop on Soft Computing Applications, SOFA 2007
CityOradea
Period8/21/078/23/07

Fingerprint

Sensor networks
Network architecture
Topology
Experiments

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

Cite this

Saad, E. M., Awadalla, M. H., Saleh, M. A., Keshk, H., & Darwish, R. R. (2007). Adaptive and energy efficient clustering architecture for dynamic sensor networks. In SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings (pp. 221-225). [4318333] https://doi.org/10.1109/SOFA.2007.4318333

Adaptive and energy efficient clustering architecture for dynamic sensor networks. / Saad, E. M.; Awadalla, M. H.; Saleh, M. A.; Keshk, H.; Darwish, R. R.

SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings. 2007. p. 221-225 4318333.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Saad, EM, Awadalla, MH, Saleh, MA, Keshk, H & Darwish, RR 2007, Adaptive and energy efficient clustering architecture for dynamic sensor networks. in SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings., 4318333, pp. 221-225, 2nd IEEE International Workshop on Soft Computing Applications, SOFA 2007, Oradea, 8/21/07. https://doi.org/10.1109/SOFA.2007.4318333
Saad EM, Awadalla MH, Saleh MA, Keshk H, Darwish RR. Adaptive and energy efficient clustering architecture for dynamic sensor networks. In SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings. 2007. p. 221-225. 4318333 https://doi.org/10.1109/SOFA.2007.4318333
Saad, E. M. ; Awadalla, M. H. ; Saleh, M. A. ; Keshk, H. ; Darwish, R. R. / Adaptive and energy efficient clustering architecture for dynamic sensor networks. SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings. 2007. pp. 221-225
@inproceedings{f9b40029b5e34978aabece891ac5f452,
title = "Adaptive and energy efficient clustering architecture for dynamic sensor networks",
abstract = "Clustering is an effective topology control approach in sensor networks. This paper proposes a distributed and adaptive clustering architecture for dynamic sensor networks. The proposed architecture comprises an approach for energy-efficient clustering with adaptive node activity for achieving a good performance in terms of system lifetime and network coverage quality. This architecture demonstrates a uniform cluster head distribution across the network in addition to a desirable network coverage. Furthermore, the paper presents an analytical approach to disclose the relationship between network density and coverage quality. Experiments were conducted to validate the proposed architecture. The analytical and simulation results demonstrate that the proposed architecture prolongs network lifetime meanwhile preserving a highly coverage quality.",
author = "Saad, {E. M.} and Awadalla, {M. H.} and Saleh, {M. A.} and H. Keshk and Darwish, {R. R.}",
year = "2007",
doi = "10.1109/SOFA.2007.4318333",
language = "English",
isbn = "9781424416080",
pages = "221--225",
booktitle = "SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings",

}

TY - GEN

T1 - Adaptive and energy efficient clustering architecture for dynamic sensor networks

AU - Saad, E. M.

AU - Awadalla, M. H.

AU - Saleh, M. A.

AU - Keshk, H.

AU - Darwish, R. R.

PY - 2007

Y1 - 2007

N2 - Clustering is an effective topology control approach in sensor networks. This paper proposes a distributed and adaptive clustering architecture for dynamic sensor networks. The proposed architecture comprises an approach for energy-efficient clustering with adaptive node activity for achieving a good performance in terms of system lifetime and network coverage quality. This architecture demonstrates a uniform cluster head distribution across the network in addition to a desirable network coverage. Furthermore, the paper presents an analytical approach to disclose the relationship between network density and coverage quality. Experiments were conducted to validate the proposed architecture. The analytical and simulation results demonstrate that the proposed architecture prolongs network lifetime meanwhile preserving a highly coverage quality.

AB - Clustering is an effective topology control approach in sensor networks. This paper proposes a distributed and adaptive clustering architecture for dynamic sensor networks. The proposed architecture comprises an approach for energy-efficient clustering with adaptive node activity for achieving a good performance in terms of system lifetime and network coverage quality. This architecture demonstrates a uniform cluster head distribution across the network in addition to a desirable network coverage. Furthermore, the paper presents an analytical approach to disclose the relationship between network density and coverage quality. Experiments were conducted to validate the proposed architecture. The analytical and simulation results demonstrate that the proposed architecture prolongs network lifetime meanwhile preserving a highly coverage quality.

UR - http://www.scopus.com/inward/record.url?scp=47949127853&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=47949127853&partnerID=8YFLogxK

U2 - 10.1109/SOFA.2007.4318333

DO - 10.1109/SOFA.2007.4318333

M3 - Conference contribution

AN - SCOPUS:47949127853

SN - 9781424416080

SP - 221

EP - 225

BT - SOFA 2007 - 2nd IEEE International Workshop on Soft Computing Applications Proceedings

ER -