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Energy collection and power control method for cognitive radio sensor network

An energy harvesting and cognitive wireless technology, applied in the field of wireless sensor networks, can solve problems such as primary user interference, achieve the effects of solving channel congestion, solving energy limited problems, and improving spectrum utilization

Active Publication Date: 2018-03-20
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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  • Application Information

AI Technical Summary

Problems solved by technology

The existing question is which energy harvesting and power control method to adopt to optimize the performance of cognitive wireless sensor network, while ensuring that it does not cause serious interference to the primary user

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  • Energy collection and power control method for cognitive radio sensor network
  • Energy collection and power control method for cognitive radio sensor network
  • Energy collection and power control method for cognitive radio sensor network

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Embodiment Construction

[0053] An energy harvesting and power control method for a cognitive wireless sensor network proposed by the present invention mainly includes the following implementation process: (1) Establish a network consisting of a sink node and multiple cognitive sensor nodes with energy harvesting capabilities Star-shaped cognitive wireless sensor network; (2) sink nodes and cognitive sensor nodes perform channel quality assessment; (3) sink nodes aim at maximizing network throughput, and the transmission time of multiple cognitive sensor nodes Combined optimization with transmit power to obtain the optimal resource allocation result; (4) The aggregation node broadcasts the optimal resource allocation result to the cognitive sensor nodes, and performs transmission scheduling for the cognitive sensor nodes; (5) Cognitive sensing nodes Nodes perform energy harvesting or data transmission.

[0054] The present invention will be described in detail below in conjunction with the accompanyin...

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Abstract

The invention relates to an energy collection and power control method for a cognitive radio sensor network. According to the method, with the purpose of maximizing network throughput, through adoption of a mathematical optimization method, optimized resource allocation is carried out on data transmission time and transmitting power of cognitive sensor nodes in the network. According to the methodprovided by the invention, on the premise of not influencing a primary user, continuous transmission of the cognitive radio sensor network can be realized in a licensed band; and moreover, fixed energy sources do not need to be configured for the cognitive sensor nodes, so long-term working and flexible deployment can be realized. Through adoption of the method provided by the invention, the spectral efficiency and the energy efficiency can be improved at the same time, and green coexistence of the cognitive radio sensor network and a primary user network can be realized.

Description

technical field [0001] The invention relates to wireless sensor network technology, in particular, it is a method for energy collection and power control of a cognitive wireless sensor network. Background technique [0002] With the large-scale application and deployment of wireless networks, the unlicensed ISM (Industrial Scientific Medical) frequency band is occupied by more and more wireless networks, resulting in serious interference in this frequency band and facing the problem of spectrum scarcity. Taking the ISM 2.4GHz frequency band as an example, there are commercial networks such as Bluetooth, ZigBee, and Wi-Fi, and industrial networks such as WirelessHART, ISA100.11a, WIA-PA, and WIA-FA. When these networks are deployed in the same area, there will inevitably be mutual interference, resulting in a serious decline in communication quality. However, due to the characteristics of low cost and low power of traditional wireless sensor network, its anti-interference ab...

Claims

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Application Information

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IPC IPC(8): H04W72/04H04W72/08H04W72/12H04W72/14
CPCH04W72/0446H04W72/0473H04W72/542H04W72/52H04W72/23Y02D30/70
Inventor 梁炜于海斌许驰郑萌彭士伟
Owner SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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