A Method for Reducing Power Consumption of Wireless Sensor Networks Based on Minimum Cost Spanning Tree
A wireless sensor and power consumption technology, applied in network topology, wireless communication, energy consumption reduction, etc., can solve problems such as wireless sensor network power consumption, achieve the effects of reducing power consumption, prolonging survival time, and optimizing network topology
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[0045] In order to test the influence of the present invention on the energy consumption of the wireless sensor network, 30 sensor nodes are arranged in a random network generated by a classic random model, and the test range is divided into 10 time periods. The random network generation model has two nodes v with probability p i , V j Add connections between, p can control the density of the network, the greater the p, the greater the density of the network, when p=1.0, it means that the network is fully connected in each time period. According to the generated random network for 10 consecutive time periods, the space-time graph ζ is constructed. The experiment randomly generated and constructed 30 different time-space maps, and run them on each time-space map. The result of the experiment is the average of the running results of the present invention on these 30 time-space maps.
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