CN-115734159-B - Information sensing method of Internet of things with optimized shared azimuth

CN115734159BCN 115734159 BCN115734159 BCN 115734159BCN-115734159-B

Abstract

The invention provides an information sensing method of an Internet of things with optimized shared azimuth, which comprises the steps of receiving request information in each period, wherein the request information comprises request information sensed in a sensing range and/or request information shared by other nodes in the Internet of things, sharing the received request information to other nodes of the Internet of things with the optimized azimuth, determining the optimal azimuth of the next period after each period according to the received request information if the received request information does not reach a dormancy condition, and repeatedly receiving the request information until the received request information reaches the dormancy condition and enters a dormancy state.

Inventors

JIANG YUNLIANG
YANG ZHEN
ZHANG JIE
ZHANG XIONGTAO

Assignees

湖州师范学院

Dates

Publication Date: 20260512
Application Date: 20210827

Claims (8)

1. The information sensing method of the Internet of things with the optimized shared azimuth is characterized by comprising the following steps of: Receiving request information in each period, wherein the request information comprises request information perceived in a perception range and/or request information shared by other nodes in the Internet of things; Sharing the received request information to other nodes of the Internet of things in the optimal direction; if the received request information does not reach the sleep condition, determining the optimal azimuth of the next period after each period according to the received request information, repeatedly receiving the request information until the received request information reaches the sleep condition, and entering a sleep state; The method comprises the steps of determining the optimal azimuth of the next period after each period according to the received request information, wherein the request information attribute comprises each request information received by each period, the azimuth and the frequency of the request information, determining the ratio of the frequency of each request information to the sum of the frequencies of all request information, multiplying the ratio of each request information by the corresponding azimuth to obtain a direction component, and summing the direction components of all request information to obtain the optimal azimuth of the next period; the summing the direction components of all the request information to obtain the optimal azimuth of the next period includes: ; Wherein, the Representing the direction of the perceived request information j in the t period, m representing the number of request information received in the t period, freq (k) representing the kth request information frequency, j representing the request information, Representing the optimal orientation for the next cycle.
2. The method for sensing information of the internet of things with optimized shared azimuth according to claim 1, wherein the request information includes request information sensed in a preset search area of a sensing range, wherein the sensing range includes a plurality of search areas.
3. The method for sensing information of the internet of things with optimized shared azimuth according to claim 1, wherein the sharing the received request information to the other nodes of the internet of things with the optimal azimuth specifically comprises: If other nodes of the Internet of things in the optimal direction have dormant nodes, waking up the dormant nodes to enable the dormant nodes to be in a waking state; and sharing the request information to the node in the awake state in the optimal azimuth.
4. The method for sensing information of the internet of things with optimized shared azimuth according to claim 2, further comprising: And determining a preset search area of the next period according to the request information perceived by the search area of each period and the weight of each search area.
5. An internet of things node, comprising: The information receiving module is used for receiving request information in each period, wherein the request information comprises request information perceived in a perception range and/or request information shared by other nodes in the Internet of things; The information sharing module is used for sharing the received request information to other nodes of the Internet of things in the optimal direction; The setting information module is used for determining the optimal azimuth of the next period after each period according to the received request information and repeatedly receiving the request information until the received request information reaches the sleep condition and entering the sleep state if the received request information does not reach the sleep condition; In a preferred embodiment, the setting information module is specifically configured to determine a request information attribute of the received request information, where the request information attribute includes each request information received in each period, an azimuth of the request information, and a frequency; determining the ratio of the frequency of each request message to the sum of the frequencies of all request messages, multiplying the ratio of each request message by the corresponding azimuth to obtain a direction component, summing the direction components of all request messages to obtain the optimal azimuth of the next period; the summing the direction components of all the request information to obtain the optimal azimuth of the next period includes: ; Wherein, the Representing the direction of the perceived request information j in the t period, m representing the number of request information received in the t period, freq (k) representing the kth request information frequency, j representing the request information, Representing the optimal orientation for the next cycle.
6. An internet of things comprising a plurality of nodes according to claim 5.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that, The processor, when executing the program, implements the method of any one of claims 1-4.
8. A computer readable medium having a computer program stored thereon, characterized in that, The program, when executed by a processor, implements the method of any of claims 1-4.

Description

Information sensing method of Internet of things with optimized shared azimuth Technical Field The invention relates to the technical field of the Internet of things, in particular to an information sensing method of the Internet of things with optimized shared azimuth. Background The internet of things refers to a network which is used for connecting any article with the internet through information sensing equipment according to a stipulated protocol and carrying out information exchange and communication so as to realize intelligent identification, positioning, tracking, monitoring and management. In popular terms, the Internet of things is the Internet with connected things, and comprises two layers of meanings, wherein the first Internet of things is the extension and expansion of the Internet, the core and the foundation of the Internet are still the Internet, and the second Internet of things comprises people and articles, so that the Internet of things realizes the exchange and communication of information among people, articles and articles. The Internet of things is used as a new generation of information technology and has the characteristics of high permeability, large driving effect and good comprehensive benefit. But the information transmission efficiency of the Internet of things is low, the energy consumption is high, and the development of the Internet of things technology is greatly limited. Disclosure of Invention The invention aims to provide an information sensing method of the Internet of things, which is used for sharing azimuth optimization, so that the information transmission efficiency of the Internet of things is improved, and the energy consumption is reduced. Another object of the present invention is to provide an internet of things node. Still another object of the present invention is to provide an internet of things. It is a further object of the invention to provide a computer device. It is a further object of the invention to provide a readable medium. In order to achieve the above objective, the present invention discloses an information sensing method of the internet of things for sharing azimuth optimization, which comprises the following steps: Receiving request information in each period, wherein the request information comprises request information perceived in a perception range and/or request information shared by other nodes in the Internet of things; Sharing the received request information to other nodes of the Internet of things in the optimal direction; If the received request information does not reach the sleep condition, determining the optimal azimuth of the next period after each period according to the received request information, repeatedly receiving the request information until the received request information reaches the sleep condition, and entering a sleep state. Preferably, the request information includes request information perceived in a preset search area of a perception range, wherein the perception range includes a plurality of search areas. Preferably, the sharing the received request information to the other nodes of the internet of things with the optimal azimuth specifically includes: If other nodes of the Internet of things in the optimal direction have dormant nodes, waking up the dormant nodes to enable the dormant nodes to be in a waking state; and sharing the request information to the node in the awake state in the optimal azimuth. Preferably, the determining the optimal azimuth of the next cycle after each cycle according to the received request information specifically includes: determining request information attributes of received request information, wherein the request information attributes comprise each request information received in each period, the azimuth of the request information and the frequency; Determining a ratio of the frequency of each request message to the sum of the frequencies of all request messages; multiplying the ratio of each request message by the corresponding azimuth to obtain a direction component; and summing the direction components of all the request information to obtain the optimal direction of the next period. Preferably, the method further comprises: And determining a preset search area of the next period according to the request information perceived by the search area of each period and the weight of each search area. Preferably, the determining the preset search area of the next period according to the request information perceived by the search area of each period specifically includes: determining area information attributes of the request information received in all periods, wherein the area information attributes comprise frequencies of the request information received in all periods by each search area; Determining weights of the search areas according to the frequency, the unsearched time length, the node attributes and whether the search areas are searched or not, wherein the no