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Cross-Layer Resource Allocation for Wireless Visual Sensor Networks and Mobile Ad Hoc Networks

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Final rept. 19 Oct 2011-18 Oct 2014

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In the context of this project, we worked on the development of a cross-layer resource management system over single hop and multihop Direct-Sequence Code Division Multiple Access DS-CDMA Visual Sensor Networks VSNs. The target was the optimal determination and allocation of the source and channel coding rates and the power levels among the nodes of the considered network. For the efficient allocation of the nodes transmission parameters, we applied various distortion-related criteria, drawing inspiration from game theory as well, and investigated fairness and efficiency under different perspectives for each of them. Computational intelligence optimization algorithms and reinforcement learning techniques were applied in order to solve the resulting optimization problems. All the solutions provided by the examined schemes were Pareto-optimal and thus, the choice about the most fair and efficient scheme is problem-dependent. Some of the approaches that were taken into account for further improving the end-to-end video distortion of a wireless multiple-access VSN included the time scheduling of transmitting nodes for interference mitigation, the optimal Instantaneous Decoding Refresh IDR frame placement during encoding, the content-based node prioritization, and the weighted bi-objective optimization for measuring the trade-off between video quality and consumed transmission power. The evaluation of all proposed approaches showed that enhanced end-to-end video quality can be achieved, by keeping power consumption at reasonable levels, when compared to the case of assigning equal values to the transmission parameters of all nodes constituting the network.

Subject Categories:

  • Operations Research
  • Cybernetics
  • Photography
  • Optical Detection and Detectors

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