Geography-informed energy conservation for Ad Hoc routing
Proceedings of the 7th annual international conference on Mobile computing and networking
A duality model of TCP and queue management algorithms
IEEE/ACM Transactions on Networking (TON)
Modelling incentives for collaboration in mobile ad hoc networks
Performance Evaluation - Selected papers from the first workshop on modeling and optimization in mobile, ad hoc and wireless networks (WiOpt'2003)
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Wireless Communications & Mobile Computing - Special Issue on Ad Hoc Wireless Networks
Design challenges for energy-constrained ad hoc wireless networks
IEEE Wireless Communications
Energy-constrained modulation optimization
IEEE Transactions on Wireless Communications
Distributed algorithms for maximum lifetime routing in wireless sensor networks
IEEE Transactions on Wireless Communications
IEEE Journal on Selected Areas in Communications
Maximize the lifetime of a data-gathering wireless sensor network
SECON'09 Proceedings of the 6th Annual IEEE communications society conference on Sensor, Mesh and Ad Hoc Communications and Networks
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Network lifetime and transmission quality are of paramount importance for rate control in an energy constrained multi-hop wireless network. It is known that they depend on mechanisms that span several protocol layers due to the existing interference across collision links and the energy constrained nature of wireless nodes. Although separate consideration of these issues simplifies the system design, it is often insufficient for wireless networks when the overall system performance is required. In this paper, we present a framework for cross-layer rate control towards maximum network lifetime and collision avoidance. The main contributions of this paper are twofold. First, although the link attainable rate is typically a non-convex and non-separable function of persistent probabilities, we prove the convergence of this cross-layer algorithm to the global optimum of joint congestion control and random access algorithm under the framework of nonlinear programming. Second, by adjusting a parameter in the objective function, we achieve the tradeoff between transmission quality and network lifetime. Simulations illustrate the desirable properties of the proposed algorithm, including convergence to the global optimum, better performance than the layered scheme, desirable tradeoff between transmission quality and network lifetime.