A cross-layer scheduling technique for maximizing end-to-end video quality

In this paper, we deal with a scheduling algorithm to fulfil a qualified end-to-end video service in terms of fairness and energy efficiency over multi-hop wireless sensor networks. For this goal, we explore to optimize the routing and power allocation via cross-layer optimization by utilizing a game-theoretic approach. In order to reduce computational complexity, we also propose a distributed optimization algorithm. In the simulation results, we demonstrate an improved performance of the proposed distributed algorithm.