For various features of heterogeneous network access, combined with multi-master multiple slave Stackelberg game model, network pricing and resource allocation scheme of a heterogeneous IOT is proposed. A mobile end-user utility function based on income and spending is designed. After the operator's price is determined, the utility function satisfies the concave conditions to ensure the existence of mobile user's non-cooperative Nash equilibrium point, resulting in multiple resource participants in the joint optimal objective.
In ensuring the content of digital vector maps lossless, a high capacity digital watermarking algorithm is proposed based on encoding scheme. According to the structure of TAB file for digital vector maps, the watermark is hidden into the attribute blocks. As each vector object definition reserves redundant space, these information bits cannot be edited and displayed by any map editing tool, the watermark has good concealment. Experimental results show that the algorithm maintaining high capacity and good invisibility, it also can strongly resist various geometric transformations such as cropping, rotation, projection, etc..
To solve the multi-objective conflict problem of independent task scheduling in grid computing, model the system along the direction of multi-objective gradient, give the model solution procedure, propose grid scheduling algorithm based on multi-objective non-conflict degree, that is, application of gradient ascent method does a quadratic optimization for the global optimal solution obtained by genetic algorithm, compensate for the GA (genetic algorithm) deficiency in the ability of local search. The experiments demonstrate that the proposed algorithm is better than other tasks scheduling algorithms simply using GA.
Considering the changes of MP2P topology due to the limitation of the capability, the unreliable and the churn of the node, the paper proposes a efficiency and safety resource node selection strategy based on Altruism and Bayesian Game in MP2P network. Firstly, obtaining the resource node altruism degree from the value of the contribution and profit of the node . Secondly, adopting the static Bayesian Game theory to connect the resource nodes, the strategy can increase the downloading resources quantity and enhance the ratio of successful request.
For problem of limited resources in the RFID (Radio frequency identification) system, a power resource allocation scheme is proposed. The method aims to maximize the system throughput, using cultural algorithm (CA) to search for the optimal power allocation scheme. By dynamically adjusting the signal transmission power of the reader, the overlap area between the reader can be reduced so that the maximum reading range can be obtained. Simulation results show that the algorithm has better performance in the system throughput and energy consumption, reducing the impact of interference between the readers and efficiently using the resources in RFID system.
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