This paper focuses on solving the delay constrained least cost routing problem, and propose a simple, distributed heuristic solution, called distributed recursive delay constrained least cost (DR DCLC) unicast routing...This paper focuses on solving the delay constrained least cost routing problem, and propose a simple, distributed heuristic solution, called distributed recursive delay constrained least cost (DR DCLC) unicast routing algorithm. DR DCLC only requires local information to find the near optimal solution. The correctness of DR DCLC is proued by showing that it is always capable of constructing a loop free delay constrained path within finite time, if such a path exists. Simulation is also used to compare DR DCLC to the optimal DCLC algorithm and other algorithms.展开更多
In this paper, the distributed and recursive blind channel identification algorithms are proposed for single-input multi-output （SIMO） systems of sensor networks （both time-invariant and time-varying networks）. At...In this paper, the distributed and recursive blind channel identification algorithms are proposed for single-input multi-output （SIMO） systems of sensor networks （both time-invariant and time-varying networks）. At any time, each agent updates its estimate using the local observation and the information derived from its neighboring agents. The algorithms are based on the truncated stochastic approximation and their convergence is proved. A simulation example is presented and the computation results are shown to be consistent with theoretical analysis.展开更多
文摘This paper focuses on solving the delay constrained least cost routing problem, and propose a simple, distributed heuristic solution, called distributed recursive delay constrained least cost (DR DCLC) unicast routing algorithm. DR DCLC only requires local information to find the near optimal solution. The correctness of DR DCLC is proued by showing that it is always capable of constructing a loop free delay constrained path within finite time, if such a path exists. Simulation is also used to compare DR DCLC to the optimal DCLC algorithm and other algorithms.
文摘In this paper, the distributed and recursive blind channel identification algorithms are proposed for single-input multi-output （SIMO） systems of sensor networks （both time-invariant and time-varying networks）. At any time, each agent updates its estimate using the local observation and the information derived from its neighboring agents. The algorithms are based on the truncated stochastic approximation and their convergence is proved. A simulation example is presented and the computation results are shown to be consistent with theoretical analysis.
