@article {
	title = {Performance-Aware Cross-layer Design in Wireless Multihop Networks via a Weighted Backpressure Approach},
	author = {Stai, Eleni., Papavassiliou, Symeon., Baras, John S.},
	year = {2016},
	month = {02/2016},
	abstract = {In this paper, we study, analyze, and evaluate a performance-aware cross-layer design approach for wireless multihop networks. Through network utility maximization (NUM) and weighted network graph modeling, a cross-layer algorithm for performing jointly routing, scheduling, and congestion control is introduced. The performance awareness is achieved by both the appropriate definition of the link weights for the corresponding application{\textquoteright}s requirements and the introduction of a weighted backpressure (BP) routing/scheduling. Contrary to the conventional BP, the proposed algorithm scales the congestion gradients with the appropriately defined per-pair (link, destination) weights. We analytically prove the queue stability achieved by the proposed cross-layer scheme, while its convergence to a close neighborhood of the optimal source rates{\textquoteright} values is proven via an epslon-subgradient approach. The issue of the weights{\textquoteright} assignment based on various quality-of-service (QoS) metrics is also investigated. Through modeling and simulation, we demonstrate the performance improvements that can be achieved by the proposed approach{\textemdash}when compared against existing methodologies in the literature{\textemdash}for two different examples with diverse application requirements, emphasizing respectively on delay and trustworthiness.},
	pages = {pp. 245-258},
	volume = {Vol. 24},
	number = {Issue 1},
	journal = {IEEE ACM Transactions on Networking}
}
