A new crosslayer architecture for service differentiation in Wireless Sensor Networks

This paper describes a new cross-layer architecture that supports service differentiation in Wireless Sensor Networks (WSN). In WSNs, sensor nodes are supposed to communicate using a random access method. We propose a mathematical model that combines parameters form network and MAC layers. We aim to estimate and to enhance the throughput of multi-hop WSNs and the stability of the forwarding queues used for real-time and best-effort traffic. We suppose in this paper that we have one single sink in the WSN and we study the impact of the probability of transmitting (real-time and best-effort traffic), density of sensor and hop count on the end-to-end throughput.