QoS adaptive topology configuration in synchronous wireless sensor networks

By using hyper-graph theory, this paper proposes a QoS adaptive topology configuration (QATC) algorithm to effectively control large-scale topology and achieve robust data transmitting in synchronous wireless sensor networks. Firstly, a concise hyper-graph model is abstracted to analyze the large-scale and high-connectivity network. Secondly, based on the control theory of biologic “Cell Mergence”, a novel self-adaptive topology configuration algorithm is used to build homologous perceptive data logic sub-network for data aggregation. Compared with Flooding, Directed Diffusion, and Energy Aware Directed Diffusion protocols, the simulation proved that QATC algorithm can save more energy, e.g., about 23.7% in a large size network, and has less delay than the other algorithms. In dynamic experiments, QATC keeps a robust transmitting quality with 10%, 20% and 30% random failure nodes.