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

ASJC Scopus subject areas

  • Computer Science Applications
  • Software

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  • 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