Adaptive clustering with transmission power control in Wireless Sensor Networks

Dahnil Sikumbang Dahlila Putri, Y. P. Singh, C. K. Ho

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

Abstract

Transmission power control allows a node to dynamically change its power level for energy saving. Many adaptive clustering algorithms propose to use different power levels for clustering. However, the transmission power control had never been integrated as a step in the algorithms. Analysis of the algorithm is done based on assumption that nodes are capable of switching between different power levels. This paper attempts to highlight the possible overhead incurred due to applying power control algorithm in an adaptive clustering in Wireless Sensor Networks. The side effects of executing power control algorithm every time cluster heads rotate can possibly cancel all performance gained if communication overhead is not taken into account. This paper identifies the energy overhead and delay time as two main factors to consider for integration to be successfully implemented. We perform analysis of these factors on existing clustering algorithms such as EECS and MOECS. The analytical results show that the energy overhead is dependent on network size and the number of cluster head candidates. We also show that the delay time involved in switching power levels has to remain low for effective clustering process.

Original languageEnglish
Title of host publicationIET International Conference on Wireless Communications and Applications, ICWCA 2012
Volume2012
Edition614 CP
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventIET International Conference on Wireless Communications and Applications, ICWCA 2012 - Kuala Lumpur, Malaysia
Duration: 8 Oct 201210 Oct 2012

Other

OtherIET International Conference on Wireless Communications and Applications, ICWCA 2012
CountryMalaysia
CityKuala Lumpur
Period8/10/1210/10/12

Fingerprint

Power control
Wireless sensor networks
Clustering algorithms
Time delay
Adaptive algorithms
Energy conservation
Communication

Keywords

  • Adaptive clustering
  • Delay
  • Transmission power control
  • Wireless sensor networks

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Dahlila Putri, D. S., Singh, Y. P., & Ho, C. K. (2012). Adaptive clustering with transmission power control in Wireless Sensor Networks. In IET International Conference on Wireless Communications and Applications, ICWCA 2012 (614 CP ed., Vol. 2012) https://doi.org/10.1049/cp.2012.2095

Adaptive clustering with transmission power control in Wireless Sensor Networks. / Dahlila Putri, Dahnil Sikumbang; Singh, Y. P.; Ho, C. K.

IET International Conference on Wireless Communications and Applications, ICWCA 2012. Vol. 2012 614 CP. ed. 2012.

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

Dahlila Putri, DS, Singh, YP & Ho, CK 2012, Adaptive clustering with transmission power control in Wireless Sensor Networks. in IET International Conference on Wireless Communications and Applications, ICWCA 2012. 614 CP edn, vol. 2012, IET International Conference on Wireless Communications and Applications, ICWCA 2012, Kuala Lumpur, Malaysia, 8/10/12. https://doi.org/10.1049/cp.2012.2095
Dahlila Putri DS, Singh YP, Ho CK. Adaptive clustering with transmission power control in Wireless Sensor Networks. In IET International Conference on Wireless Communications and Applications, ICWCA 2012. 614 CP ed. Vol. 2012. 2012 https://doi.org/10.1049/cp.2012.2095
Dahlila Putri, Dahnil Sikumbang ; Singh, Y. P. ; Ho, C. K. / Adaptive clustering with transmission power control in Wireless Sensor Networks. IET International Conference on Wireless Communications and Applications, ICWCA 2012. Vol. 2012 614 CP. ed. 2012.
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