Sensor networks simulation framework for target tracking applications: SN-SiFTTA
by Aaron Rasheed Rababaah
International Journal of Web Engineering and Technology (IJWET), Vol. 16, No. 2, 2021

Abstract: This work presents a new simulation framework for wireless sensor networks dedicated for target tracking applications named: SN-SiFTTA. SiFTTA does not address routing protocols as they have been studied extensively in the literature. Two scheduling finite state machine models are proposed to control the behaviour of the sensor nodes and cluster heads. Four different deployment methods are proposed and investigated using four performance metrics: target tracking accuracy (TTA), energy efficiency index (EEI), quality of clustering index (QCI) and deployment feasibility. A simulator with friendly and interactive graphical user interface was developed using Matlab integrated development environment. The simulator provides rich environment that allows the user to customized wide varieties of scenarios. Among these, we focus on deployment method effects on the aforementioned four performance metrics. Four hundred experiments were conducted 100 per each deployment method of global random, local random, grid random and uniform grid. After analysing the experimental results, the study suggested a weighted-criteria formula to select the best deployment method considering all performance metrics to avoid bias and to ensure problem context relevance.

Online publication date: Thu, 23-Sep-2021

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