Potential competing topological control method based on power and energy optimization

An energy optimization and topology control technology, applied in network topology, energy reduction, transmission system and other directions, can solve problems such as network paralysis and network congestion, and achieve the effect of ensuring network QoS and prolonging network service cycle.

Active Publication Date: 2016-07-20
ZHEJIANG SCI-TECH UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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

Method used

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  • Potential competing topological control method based on power and energy optimization
  • Potential competing topological control method based on power and energy optimization
  • Potential competing topological control method based on power and energy optimization

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Embodiment Construction

[0028] like figure 1 As shown, a potential game topology control method based on power and energy optimization provided by the present invention, after completing the preprocessing from the network operation, proceed according to the following steps:

[0029] 1) Select the cluster head

[0030] Calculate the optimal cluster number k of the network by using the N-order nearest neighbor analysis method opt , and then complete the selection of cluster heads according to the parameters such as energy and distance between cluster heads.

[0031] In order to balance the load of nodes in the network, the nodes in the network should die at the same time as much as possible. When selecting a cluster head, the probability of each node becoming a cluster head is calculated based on the communication cost of the node’s own energy, the average energy of the entire network, and the node’s packet loss rate. The formula is as follows:

[0032] cos t = ...

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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 ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/24H04L12/715H04W40/14H04W40/24H04W84/18
CPCH04L41/12H04L45/46H04W40/14H04W40/24H04W84/18Y02D30/70
Inventor 洪榛邵茜宋婷婷王瑞周丽丹
Owner ZHEJIANG SCI-TECH UNIV
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