Modeling and simulation of WSNs for agriculture applications using dynamic transmit power control algorithm

L. M. Kamarudin*, R. B. Ahmad, D. Ndzi, A. Zakaria, B. L. Ong, K. Kamarudin, A. Harun, S. M. Mamduh

*Corresponding author for this work

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

Abstract

Simulation platforms have become important tools in the design and evaluating of protocols for Wireless Sensor Networks. Thus the use of realistic models in simulation is important for the development of protocols. However, most of the reported studies based on simulations tend to use simple or non-realistic parameters and assumptions. This paper proposes a transmit power control algorithm with a realistic radio energy model based on different propagation models to mimic different deployment scenarios. Results show that the implementation of transmit power control extends the network lifetime by 5.3% when free space path loss model is used. However, a greater efficiency of 8.7% is achieved when the network is assumed to be deployed in the presence of vegetation using Weissberger's vegetation attenuation model.

Original languageEnglish
Title of host publication2012 Third International Conference on Intelligent Systems Modelling and Simulation
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages616-621
Number of pages6
ISBN (Electronic)9780769546681
ISBN (Print)9781467308861
DOIs
Publication statusPublished - 8 Feb 2012
Event3rd International Conference on Intelligent Systems Modelling and Simulation, ISMS 2012 - Kota Kinabalu, Malaysia
Duration: 8 Feb 201210 Feb 2012

Publication series

NameProceedings - 3rd International Conference on Intelligent Systems Modelling and Simulation, ISMS 2012
PublisherIEEE
ISSN (Print)2166-0662
ISSN (Electronic)2166-0670

Conference

Conference3rd International Conference on Intelligent Systems Modelling and Simulation, ISMS 2012
Country/TerritoryMalaysia
CityKota Kinabalu
Period8/02/1210/02/12

Keywords

  • CC2420
  • OMNeT++
  • power control
  • wireless sensor networks

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