Collaborative communication control based on sensor data management in WSN

This paper presents a novel approach for dynamic controlling of the communication process within cluster-based wireless sensor networks (WSN). The research concentrates on the environmental parameters supervision with WSN inside a container. In order to maintain the requisite environmental sensing quality with as low energy consumption as possible, the participants of WSN make distributed decisions about their own communication intensity according to the surrounding environmental conditions. For this purpose, the cluster head (CH) and cluster member (CM) apply a collaborative decision-making approach to control the transmission activity of each CM. The CH turns the spatially redundant CMs off by observing the relationship between sensor data from all CMs. The CMs apply dynamic sensing rate approach to reduce the temporally redundant sensor data as well as to reactive itself from sleep mode. The simulation results show that the collaborative approach performs high sensing quality in spite of drastic reduction of communication activities.