Optimization flow control—I: basic algorithm and convergence
IEEE/ACM Transactions on Networking (TON)
Optimal flow control and routing in multi-path networks
Performance Evaluation - Special issue: Internet performance and control of network systems
Application-Oriented Flow Control forWireless Sensor Networks
ICNS '07 Proceedings of the Third International Conference on Networking and Services
Stability and TCP-friendliness of AIMD/RED systems with feedback delays
Computer Networks: The International Journal of Computer and Telecommunications Networking
Rate-lifetime tradeoff for reliable communication in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Interference-Aware Joint Routing and TDMA Link Scheduling for Static Wireless Networks
IEEE Transactions on Parallel and Distributed Systems
IEEE Transactions on Wireless Communications
Optimal flow control for utility-lifetime tradeoff in wireless sensor networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Achievable rates and resource allocation strategies for imperfectly known fading relay channels
EURASIP Journal on Wireless Communications and Networking
Utility-based asynchronous flow control algorithm for wireless sensor networks
IEEE Journal on Selected Areas in Communications - Special issue on simple wireless sensor networking solutions
Optimal rate allocation for energy-efficient multipath routing in wireless ad hoc networks
IEEE Transactions on Wireless Communications
Performance analysis of TCP-friendly AIMD algorithms for multimedia applications
IEEE Transactions on Multimedia
The Impact of Stochastic Noisy Feedback on Distributed Network Utility Maximization
IEEE Transactions on Information Theory
IEEE Journal on Selected Areas in Communications
IEEE Journal on Selected Areas in Communications
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In wireless sensor networks (WSNs), there generally exist many different objective functions to be optimized. In this paper, we propose a stochastic multiobjective optimization approach to solve such kind of problem. We first formulate a general multiobjective optimization problem. We then decompose the optimization formulation through Lagrange dual decomposition and adopt the stochastic quasigradient algorithm to solve the primal-dual problem in a distributed way. We show theoretically that our algorithm converges to the optimal solution of the primal problem by using the knowledge of stochastic programming. Furthermore, the formulation provides a general stochastic multiobjective optimization framework for WSNs. We illustrate how the general framework works by considering an example of the optimal rate allocation problem in multipath WSNs with timevarying channel. Extensive simulation results are given to demonstrate the effectiveness of our algorithm.