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A Method of Energy Harvesting and Power Control for Cognitive Wireless Sensor Networks

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, improving spectrum utilization, and solving energy constraints

Active Publication Date: 2021-06-22
SHENYANG INST OF AUTOMATION - CHINESE ACAD OF SCI
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  • Abstract
  • Description
  • Claims
  • 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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  • A Method of Energy Harvesting and Power Control for Cognitive Wireless Sensor Networks
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  • A Method of Energy Harvesting and Power Control for Cognitive Wireless Sensor Networks

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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 of a cognitive wireless sensor network. With the goal of maximizing network throughput, the method uses mathematical optimization methods to allocate optimal resources for data transmission time and transmit power of cognitive sensor nodes in the network. The method of the present invention can realize the continuous transmission of the cognitive wireless sensor network in the licensed frequency band without affecting the main user; meanwhile, the cognitive sensor node does not need to be equipped with a fixed energy source, and can realize long-term work and flexible deployment. The spectrum efficiency and energy efficiency can be simultaneously improved by adopting the method of the invention, and the green coexistence of the cognitive wireless sensor network and the 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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Patent Type & Authority Patents(China)
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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