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A Study on Data Collection Behaviors for a Class of Multi-Hop Wireless Sensor Networks Based on Probability Model


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DOI: https://doi.org/10.15866/irecos.v10i6.6770

Abstract


This paper presents an approach to analyze data collection behavior for a class of multi-hop wireless sensor networks (WSNs). Based on probabilistic modeling of the IEEE 802.15.4 MAC protocol, the collected data is estimated using a pseudo-random method of Monte Carlo simulation. Then data collection behavior is modeled as the mean and variation of the probability distribution function curves. Effects of expanding the network size on reception rate were studied by varying the number of nodes in each cluster and hop count. Estimating the amount of data to be collected at the sink node, survivor function and confidence interval have been proposed as metrics for the reliability of data collection.
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Keywords


Probabilistic Modeling; Wireless Sensor Networks; Multi-Hop Networks; Monte Carlo Simulation; Probability Distribution Function

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