Intermittent transmission method based on aggregation model for clustering scheme

In wireless sensor networks, reducing the energy consumption of the whole network is one of the most important research themes. In this paper, we first define a data aggregation model that defines the relationship between the increased amount of entropy and the number of sensor nodes. We also develop an intermittent transmission method, which is mainly assumed clustered sensor networks. Each sensor node transits their data with a probability that is set based on the aggregation model and the number of nodes within the cluster. From simulation using real sensing data, we reveal the intermittent transmission method is effective for energy-saving.