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Decoding forward collaboration-based simultaneous wireless information and power transfer method in cognitive sensor network

A wireless energy-carrying communication and sensor network technology, applied in wireless communication, network topology, electrical components, etc., can solve problems such as interference and low efficiency of the optimal value of power division factor

Inactive Publication Date: 2018-07-27
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0004] In order to overcome the inefficiency of obtaining the optimal value of the transmission power of the source sensor node and the power division factor of the relay sensor node in the existing technology, in order to accurately obtain the performance of the cognitive sensor node in the cognitive sensor network using wireless energy-carrying communication technology , the present invention fully considers the interference caused by the primary user to the cognitive sensor node, and provides a wireless energy-carrying communication method based on decoding and forwarding cooperation to quickly obtain the optimal value of the transmission power of the source sensor node and the power division factor of the relay sensor node

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  • Decoding forward collaboration-based simultaneous wireless information and power transfer method in cognitive sensor network
  • Decoding forward collaboration-based simultaneous wireless information and power transfer method in cognitive sensor network
  • Decoding forward collaboration-based simultaneous wireless information and power transfer method in cognitive sensor network

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[0032] The present invention will be further described below in conjunction with the accompanying drawings.

[0033] refer to figure 1 and figure 2 , a wireless energy-carrying communication method based on decoding and forwarding cooperation in a cognitive sensor network is realized based on an existing cognitive sensor network, and the cognitive sensor network is composed of a main network and a cognitive network ; The main network includes a pair of primary users, that is, a primary user sending end PT and a primary user receiving end PR; the cognitive network consists of three sensor nodes, namely the source sensor node SSN, the relay sensor node SSR and a destination sensor Node SSD; the entire transmission process is divided into two time slots, and each time slot accounts for 1% of the transmission time

[0034] In the method of this embodiment, the primary user sending end sends information to the primary user receiving end in the first time slot, which will cause...

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Abstract

The invention relates to a decoding forward collaboration-based simultaneous wireless information and power transfer method in a cognitive sensor network. In the method, a source sensor node sends information to a relay sensor node, the relay sensor node segments a received signal by using a power segmentation factor, one part of the signal is used for energy collection and the left part is used for information receiving, and the relay sensor node decodes and forwards the information of the source sensor node to a target sensor node by using all energy E received by the relay sensor node. Themethod fully considers interference of the master user on the cognitive sensor node, so that the performance of the cognitive sensor network can be acquired accurately, further, a sending power of thesource sensor node and a power segmentation factor optimal value of the relay sensor node can be acquired rapidly through a two-step decomposition method.

Description

technical field [0001] The invention belongs to the technical field of wireless energy-carrying communication in the field of cognitive sensor networks, in particular to a method for carrying energy-carrying communication. Background technique [0002] Cognitive radio is regarded as an effective technology to solve the problem of spectrum resource scarcity. However, sensors in wireless sensor networks usually use fixed and increasingly crowded unlicensed spectrum for communication. Therefore, cognitive radio technology can be used in wireless sensor networks, and this type of cognitive network can be called cognitive sensor network. At the same time, the sensor is generally powered by a fixed power source, which leads to a very limited service life of the sensor. Replacing batteries is not only expensive but also difficult to achieve in some applications. To improve the lifetime of sensors, energy harvesting has received extensive attention as an efficient technique. Dif...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W72/04H04W72/08H04W84/18H04W72/54
CPCH04W72/0446H04W72/0473H04W84/18H04W72/54
Inventor 卢为党林元荣赵伟琳彭宏华惊宇
Owner ZHEJIANG UNIV OF TECH
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