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arXiv · 1610.05970

Relation between Functional Complexity, Scalability and Energy Efficiency in WSNs

Merim Dzaferagic·Nicholas Kaminski·Irene Macaluso·Nicola Marchett
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Abstract

In order to understand the underlying mechanisms that lead to certain network properties (i.e. scalability, energy efficiency) we apply a complex systems science approach to analyze clustering in Wireless Sensor Networks (WSN). We represent different implementations of clustering in WSNs with a functional topology graph. Different characteristics of the functional topology provide insight into the relationships between system parts that result in certain properties of the whole system. Moreover, we employ a complexity metric - functional complexity (C_F) - to explain how local interactions give rise to the global behavior of the network. Our analysis shows that higher values of C_F indicate higher scalability and lower energy efficiency.

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Merim Dzaferagic, Nicholas Kaminski, Irene Macaluso, Nicola Marchett. 2016-10-19. Relation between Functional Complexity, Scalability and Energy Efficiency in WSNs. https://arxiv.org/abs/1610.05970

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