End-to-End Delay Bound Analysis in Multimedia Sensor Network Using Stochastic Network Calculus
Multimedia Sensor Network (MSN) has been deployed in many fields owing to its reliability, flexibility and availability of multimedia data. Correspondingly more challenges draw into the QoS guarantee research. In this paper, the authors establish a comprehensive performance analytical framework for MSN considering both the traffic self-similarity and stochastic service curve of MSN with S-MAC protocol based on stochastic network calculus. With this framework, they derive the m.b.c stochastic arrival curve of Fraction Brownian Motion (FBM) traffic and the stochastic service curve of MSN which adopts sink-tree model.