We study the tradeoff between network utility and network lifetime using a cross-layer optimization approach.The tradeoff model in this paper is based on the framework of layering as optimization decomposition.Our tradeoff model is the first one that incorporates time slots allocation into this framework.By using Lagrangian dual decomposition method,we decompose the tradeoff model into two subproblems:routing problem at network layer and resource allocation problem at medium access control(MAC)layer.The interfaces between the layers are precisely the dual variables.A partially distributed algorithm is proposed to solve the nonlinear,convex,and separable tradeoff model.Numerical simulation results are presented to support our algorithm.
Reliability and real-time requirements bring new challenges to the energy-constrained wireless sensor networks, especially to the industrial wireless sensor networks. Meanwhile, the capacity of wireless sensor networks can be substantially increased by operating on multiple nonoverlapping channels. In this context, new routing, scheduling, and power control algorithms are required to achieve reliable and real-time communications and to fully utilize the increased bandwidth in multichannel wireless sensor networks. In this paper, we develop a distributed and online algorithm that jointly solves multipath routing, link scheduling, and power control problem, which can adapt automatically to the changes in the network topology and offered load. We particularly focus on finding the resource allocation that realizes trade-off among energy consumption, end-to-end delay, and network throughput for multichannel networks with physical interference model. Our algorithm jointly considers 1) delay and energy-aware power control for optimal transmission radius and rate with physical interference model, 2) throughput efficient multipath routing based on the given optimal transmission rate between the given source-destination pairs, and 3) reliable-aware and throughput efficient multichannel maximal link scheduling for time slots and channels based on the designated paths, and the new physical interference model that is updated by the optimal transmission radius. By proving and simulation, we show that our algorithm is provably efficient compared with the optimal centralized and offline algorithm and other comparable algorithms.
This paper is concerned with the stability analysis of networked control systems wherein nodes exchange inform...
Y.H.Xie is with the Department of Science,Shenyang University of Chemical Technology,Shenyang 110142,China.J.N.Li is with the Department of Science,Shenyang University of Chemical Technology,Shenyang 110142,China
