Overhearing-based Data Transmission Reduction Using Data Interpolation in Wireless Sensor Networks

In this paper, we propose a traffic reduction method using overhearing of wireless communications in wireless sensor networks, which is an extension of our previous method. In the extended method, each node autonomously determines the temporal redundancy of its reading by applying a lightweight interpolation based on the readings acquired by itself before determining the spatial redundancy according to our previous method. When the reading is determined as spatially or temporally redundant, the node stops transmitting it. This approach reduces the communication traffic since only the readings required for obtaining the data distribution of the entire area. Furthermore, we verify the effectiveness of our method by simulation experiments.