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THE IMPACT OF INNER-PARAMETERS B-MAC PROTOCOL BY TAGUCHI METHOD FOR WSN
Author(s):
1. ALAA KAMAL YOUSIF: University of Ha'il, College of Computer Science and Engineering, University Malaysia
2. M.N.MOHD WARIP: Embedded Network and advanced computing Research Cluster, School of computer and Communication engineering, University Malaysia Perlis, Level 1, Pauh Putra Main Campus, Arau, Malaysia
3. MOHAMED ELSHAIKH: Embedded Network and advanced computing Research Cluster, School of computer and Communication, engineering, University Malaysia Perlis, Level 1, Pauh Putra Main Campus, Arau, Malaysia
Abstract:
The MAC protocols play an important role in the performance of wireless sensor network (WSN). MAC protocols are controlled with set of parameters from being dragged to undesired situation such as reduce the power consumption, listening idle, and overhead. This inner- parameters have direct impact on the efficiency of a MAC protocols and overall network performances. The impacts of theses parameters on reduce the power consumption are less considered. In the literature, a lot of studies concentrates on introducing a new protocols to reduce the power consumption for WSN. This paper aims to analysis the inner- parameters of MAC protocols for WSN power consumption by using Taguchi Delta Analysis (TDA). Moreover, the measure of inner - parameters is very important to find the optimal values to reduce the power consumption. This paper utilized Taguchi method to analysis the impact of B-MAC protocol parameters in WSN scenarios by exploits Taguchi delta analysis. Further, four inner - parameters are investigated in a simulation platform. Moreover, simulation experiments are carried out by OMNET++5 to prove the work in this paper. The obtained results show that inner- parameters B-MAC inner- protocol reduce the power consumption of WSN for two different scenarios.
Page(s): 788-797
DOI: DOI not available
Published: Journal: Journal of Theoretical and Applied Information Technology, Volume: 98, Issue: 5, Year: 2020
Keywords:
BMAC , WSN , Taguchi method , Power consumption , Taguchi Delta analysis TDA
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