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Dynamic power control method in low-duty-cycle sensor network

A technology of dynamic power and control method, applied in power management, transmission system, digital transmission system, etc., can solve the problems of low-rotation sensor network unable to transmit delay and dynamic balance of transmission energy consumption, and achieve the realization of delay and energy consumption. Balance optimization, ensure transmission delay, and achieve the effect of data transmission

Inactive Publication Date: 2016-07-06
JINAN UNIVERSITY
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Problems solved by technology

[0006] The invention provides a dynamic power control method in a low-rotation sensor network to solve the technical problem that the current low-rotation sensor network cannot achieve dynamic balance in transmission delay and transmission energy consumption

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  • Dynamic power control method in low-duty-cycle sensor network
  • Dynamic power control method in low-duty-cycle sensor network

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Embodiment Construction

[0053] The present invention will be described in detail below with reference to the accompanying drawings and in conjunction with the embodiments. It should be noted that the embodiments in the present application and the features of the embodiments may be combined with each other in the case of no conflict.

[0054] refer to figure 1 , the present invention provides a dynamic power control method in a low-rotation sensor network, comprising the following steps:

[0055] Step S100, initialize node parameters after deploying network nodes;

[0056] Step S200, evaluating the wireless link quality between the nodes according to the neighbor discovery process and exchanging the sleep schedule of the nodes;

[0057] Step S300, according to the delay evaluation model and the energy consumption model, respectively calculate the single-hop sleep delay and expected energy consumption between the current node and the direct neighbor node;

[0058] Step S400, according to the single-...

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Abstract

The invention provides a dynamic power control method in a low-duty-cycle sensor network. The method comprises following steps of initializing node parameters after network nodes are deployed; evaluating wireless link qualities among the nodes according to a neighbor discovery process; exchanging dormant schedules of the nodes; according to a delay evaluating model and an energy consuming model, calculating single hop dormant delays and expected energy consumptions from a current node to direct neighbor nodes; according to the single hop dormant delays and the expected energy consumptions, through utilization of a dynamic planning method, recursively building transmission control tables; according to the transmission control tables, through routing, dynamically selecting node paths with minimum end-to-end delays and end-to-end energy consumptions to a base station node, and sending target data packets through the selected node paths. According to the method, through adoption of dynamic power adjustment and combination of topology extension of output powers, on the basis of the dynamic planning method, the routing path with the minimum delay is selected; it is unnecessary to change the existing dormant period of the nodes; the end-to-end transmission delay is ensured; and balance and optimization between the delay and the energy consumption are realized.

Description

technical field [0001] The invention relates to the field of sensor network protocol design in an Internet of Things architecture, and more particularly, to a dynamic power control method in a low-rotation sensor network. Background technique [0002] Wireless Sensor Network (WSN) is a key link to realize the Internet of Things (IoT). The collected data about the environment and objects, such as temperature and humidity, product labels, and electricity consumption information of household appliances, are sent to the back-end server to provide basic information for ubiquitous computing and green computing. [0003] However, sensor nodes are often powered by batteries, with limited energy supply and limited network lifetime. On the other hand, the nodes in the sensor network perceive low data frequency and small data packets, so the wireless transceivers are mostly in the "idle listening" state, which consumes a lot of energy. For example, the current of the wireless transce...

Claims

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Application Information

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IPC IPC(8): H04W40/08H04W40/12H04W40/24H04W52/02H04L12/727H04L45/121
CPCH04L45/121H04W40/08H04W40/12H04W40/246H04W40/248H04W52/0216Y02D30/70
Inventor 樊足志
Owner JINAN UNIVERSITY
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