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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 6 Issue 11, 2015.
Abstract: Selection of an optimal number of high energy level nodes and the most appropriate heterogeneity level is a prerequisite in the heterogeneous deployment of wireless sensor network, and it serves several purposes like enhanced network lifetime, finest energy consumption, and optimal sensing coverage. The paper presents the mathematical modeling of cost, energy and sensing range analysis of 2-level, 3-level, and n-level heterogeneous wireless sensor network. An experimental investigation has been carried out to investigate the effect of heterogeneity on a proposed Energy Efficient Source Initiated Reactive Algorithm. Studies on these aspects have been done to find the limitations of the algorithm for homogeneous networks and to find how it enriches sensing range and network lifetime. Based on the simulated experimental and numerical results, a mathematical model is presented to calculate the optimal number of high-level nodes which can simultaneously enhance network lifetime and achieve optimal sensing coverage. The results are compared with the homogeneous network to prove the effectiveness of the stated approach and proposed a model.
Nonita Sharma, Ajay K Sharma and Kumar Shashvat, “Impact of Heterogeneous Deployment on Source Initiated Reactive Approach” International Journal of Advanced Computer Science and Applications(IJACSA), 6(11), 2015. http://dx.doi.org/10.14569/IJACSA.2015.061125
@article{Sharma2015,
title = {Impact of Heterogeneous Deployment on Source Initiated Reactive Approach},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2015.061125},
url = {http://dx.doi.org/10.14569/IJACSA.2015.061125},
year = {2015},
publisher = {The Science and Information Organization},
volume = {6},
number = {11},
author = {Nonita Sharma and Ajay K Sharma and Kumar Shashvat}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.