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Topology-related modeling and characterization of wireless sensor networks

Node deployment plays an important role in the design of wireless sensor networks (WSNs). Many important properties such as coverage, connectivity, data fidelity, lifetime and fault tolerance are influenced by the way nodes are placed in the sensor field. In this work we argue that topological information is able to characterize network properties and, once estimated, it can be used in their design in order to improve performance. In this context, we propose a stochastic point process model, namely M2P2, which aims at describing a wide variety of WSN deployment strategies and a topological metric, namely Sink Betweenness, suitable for characterizing the relay task of a node.