Potential competing topological control method based on power and energy optimization

Abstract

The invention relates to a potential competing topological control method based on power and energy optimization. The potential competing topological control method includes the steps of a topology building phase, where (i)N( / i) order proximal analysis method is employed to calculate optimal network cluster number, guide selection of cluster heads, and guide non-cluster head nodes to join the clusters through network communication cost, the Sink nodes directly or indirectly establish communication relation with the cluster head nodes to build inter-cluster routes after cluster members of each cluster and communication between nodes are determined; a topology maintenance phase, where when node failure triggers local topology maintenance, the topology structure optimization problem during the process is mapped into a potential competing optimization problem, nodes participated in competing execute a topology maintenance algorithm, and each participant carries out power selection to allow the competing to be converged to a Nash equilibrium state. Energy balance and node communication interference are both taken into consideration. Network QoS is ensured, while a network service period is effectively prolonged.

Description

Technical field: [0001] The invention relates to a topology control method of a wireless sensor network, in particular to a potential game topology control method based on power and energy optimization. Background technique: [0002] By optimizing the autonomous decision-making of heterogeneous sensor nodes, meeting the optimization goals of sensor nodes based on local information, constructing a dynamic topology with high reliability and fault tolerance, establishing a topology control mechanism and optimization method with practical value, and maximizing the extension of the network life cycle , is the focus of current research in wireless sensor networks. [0003] Optimization problems and network performance are inseparable, and optimization can improve network performance. Optimization methods can be roughly divided into traditional optimization methods and modern optimization methods. Traditional optimization methods are mostly based on the derivative characteristics ...

AI Technical Summary

Problems solved by technology

[0006] The invention provides a potential game topology control method based on power and energy optimization, which can effectively solve the problem of network congestion or network paralysis caused by node failures in complex multi-source heterogeneous network environments

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