Time-division multiplexing node virtualization method and system for self-powered non-volatile sensor network

A virtualization system and time-division multiplexing technology, applied in the computing field of the Internet of Things, can solve problems such as network service quality degradation, and achieve the effects of reducing energy consumption, reducing the probability of power outages, and reducing costs

Active Publication Date: 2021-03-09
马恺声
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0006] The purpose of the present invention is to provide a time-division multiplexing node virtualization method and system for a self-powered non-volatile sensor network, based on the existing Zigbee radio frequency communication protocol, to solve the self-powered wireless sensor network in an energy harvesting environment In order to improve the quality of service of the self-powered wireless sensor network using non-volatile radio frequency (NVRF) due to the problem of network service quality degradation caused by frequent power outages of sensor nodes

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  • Time-division multiplexing node virtualization method and system for self-powered non-volatile sensor network
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  • Time-division multiplexing node virtualization method and system for self-powered non-volatile sensor network

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Embodiment Construction

[0038] The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention. The NVRF used in the present invention refers to a non-volatile radio frequency controller, and non-volatile refers to the property that data can be saved even when a specific environmental condition is not met. Non-volatile is used to describe data stored on disk or tape. The data stored on these devices can be preserved even if the power to these devices is cut off.

[0039] see figure 2 and Figure 4 ,in Figure 4 The specific operating code for the node virtualization algorithm involved in the present invention is a time-division multiplexing node virtualization method for a self-powered non-volatile sensor network. The virtualization method includes the following steps:

[0040] S1: When a new node A joins the existing wireless sensor network, the new node A turns on the non-volatile radio frequency device NVRF;

[0041] S2: T...

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Abstract

The present invention discloses a time division multiplexing node virtualization method and system for a self-powered non-volatile sensor network. In the method, when a new node A joins an existing wireless sensor network, the new node A opens a non-volatile radio frequency NVRF; New node A finds the nearest node B in the wireless sensor network through NVRF; new node A copies the NVRF state of node B to form a clone node of node B, and then new node A and node B form a clone node group; new node A synchronizes The real-time clock timer, the initial phase offset of the received clock tick and the preset tick count; NVRF is turned off, the new node A joins the wireless sensor network, and the clone node group where the new node A is located forms a virtual node through the node virtualization algorithm. logical node. The invention solves the problem of network service quality reduction caused by frequent power outages of sensor nodes in the self-powered wireless sensor network under the energy collection environment, and improves the service quality of the self-powered wireless sensor network using NVRF.

Description

technical field [0001] The invention relates to the technical field of Internet of Things computing, in particular to a time-division multiplexing node virtualization method and system for a self-powered non-volatile sensor network. Background technique [0002] Traditional batteries have defects that cannot be solved in the short term, such as environmental pollution, frequent charging, difficult maintenance, flammability and explosion, and have become key factors restricting the wider application of IoT devices. Energy harvesting technology can continuously provide clean and pollution-free energy for equipment systems by collecting external energy (such as solar energy, radio frequency, vibration, temperature difference, etc.). Therefore, self-power has become an important energy acquisition method for wireless sensor networks, and has been applied to many systems, such as regional monitoring, environmental monitoring, industrial equipment monitoring, medical health monito...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W40/02H04W40/20H04W52/02H04W84/20
CPCH04W40/02H04W40/20H04W52/0206H04W84/20Y02D30/70
Inventor 马恺声李金阳
Owner 马恺声
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