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Construction method of low-cost wireless sensor network

A technology of wireless sensor network and construction method, applied in the field of wireless communication network, can solve the problem of large algorithm error, only local optimal path or approximate optimal path can be searched, etc., achieve high search range, speed up convergence, The effect of quick search ability

Active Publication Date: 2020-10-13
CHONGQING NORMAL UNIVERSITY
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AI Technical Summary

Problems solved by technology

[0005] The present invention intends to provide a low-cost wireless sensor network construction method to solve the problem that in the prior art, when searching for the optimal path of the wireless sensor network, the algorithm error is relatively large, so that only a local optimal path or an approximate path can be searched. Technical Issues of the Optimal Path

Method used

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  • Construction method of low-cost wireless sensor network
  • Construction method of low-cost wireless sensor network
  • Construction method of low-cost wireless sensor network

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Experimental program
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Embodiment

[0063] A low-cost wireless sensor network construction method, as attached figure 1 shown, including the following steps:

[0064] Initialization steps:

[0065] Initialize the initial parameters, the initial parameters include the initial temperature T 0 , cooling coefficient α, mutation probability P m , random probability P, cooling progress weight W, real number h, total iteration steps, trotter number, qubit phase angle θ ij =π(2rand-1), i∈{1,2,...,N}, j∈{1,2,...,m} in the qubit phase angle, N is the total number of chromosomes, and is also the sensor The total number of , m is the dimension of the optimization problem. Mutation probability P m The initialization is 0.5, and the total number of iteration steps is initialized to 1500.

[0066] Quantum Chromosome Coding Steps:

[0067] Obtain quantum chromosomes, adopt phase encoding Φ i =[|θ i1 |θ i2 |...|θ im |] encodes the quantum chromosome, after encoding, the probability radiation code of the quantum chromo...

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Abstract

The invention relates to the technical field of wireless communication networks. The invention and relates to a wireless sensor network construction method, in particular to a low-cost wireless sensor network construction method. A path problem between the sensors is converted into an energy problem; the minimum path between the sensors is reflected by calculating the energy matrix of the minimumenergy value; in the calculation process, a quantum annealing algorithm is adopted for iteration to realize external circulation; and internal circulation is carried out by adding noise disturbance,the external circulation is the iteration step number, the internal circulation is the Monte Carlo step number, and parameters O and K are set, and; when the iteration step number is smaller than theparameter K, the parameter O is used for judging whether the current optimal solution is skipped or not, and the phenomenon of falling into the local optimal solution is reducedalleviated. By the adoption of the scheme, the technical problem that in the prior art, when the optimal path of the wireless sensor network is searched for, only the local optimal path or the approximate optimal path can be searched for due to the large algorithm error can be solved.

Description

technical field [0001] The invention relates to the technical field of wireless communication networks, in particular to a construction method of a low-cost wireless sensor network. Background technique [0002] The wireless sensor network is composed of wireless sensors. The sensors cooperate to complete various data acquisition and collection tasks in the monitoring area, and upload the data. They also self-organize into a network system through wireless interaction. Therefore, each sensor is in the In the wireless sensor network, it is called a wireless sensor network node. In order to shorten the data transmission time or transmission distance, it is necessary to deploy the shortest path for the wireless sensor network nodes as much as possible, so the path problem is particularly important in the wireless sensor network. [0003] In the wireless sensor network, the path is mainly realized by the node positioning algorithm. The node positioning algorithm is mainly divid...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W40/10H04W40/24H04W40/32H04W84/18
CPCH04W40/32H04W40/24H04W40/10H04W84/18
Inventor 董玉民黄治杰
Owner CHONGQING NORMAL UNIVERSITY
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