Minimization methods for non-differentiable functions
Minimization methods for non-differentiable functions
Elements of information theory
Elements of information theory
Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Utility-based decision-making in wireless sensor networks
MobiHoc '00 Proceedings of the 1st ACM international symposium on Mobile ad hoc networking & computing
An energy-aware data-centric generic utility based approach in wireless sensor networks
Proceedings of the 3rd international symposium on Information processing in sensor networks
Proceedings of the 6th ACM international symposium on Mobile ad hoc networking and computing
Decentralized utility-based sensor network design
Mobile Networks and Applications
Optimal information extraction in energy-limited wireless sensor networks
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
A tutorial on cross-layer optimization in wireless networks
IEEE Journal on Selected Areas in Communications
Fundamental design issues for the future Internet
IEEE Journal on Selected Areas in Communications
Delay-distribution-dependent robust H∞control for discrete-time systems with stochastic delays
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Adaptive image compression technique for wireless sensor networks
Computers and Electrical Engineering
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Wireless sensor networks (WSNs) are energy-constrained, as a result, energy allocation and data transmission on sensor nodes are always considered together. However, current approaches ignore the multiple-hop nature of sensor networks, which results in the lack of modeling energy consumption in data relaying process. In this paper, we illustrate the importance of this issue and formulate the data sensing and transmission in WSNs as a network utility maximization (NUM) problem. A price-based distributed algorithm is proposed to solve this NUM problem, and it can stimulate the cooperation of power control and rate adaptation among the nodes along the data relaying path. Considering the time-varying wireless environment in WSNs, the stability of the proposed algorithm is studied by convergence analysis under stochastic perturbations. Numerical results show that the proposed algorithm converges to the optimal energy allocation and data transmission.