CN103402276A - System and method for efficiently transmitting mass sensing data of internet of things - Google Patents

System and method for efficiently transmitting mass sensing data of internet of things Download PDF

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Publication number
CN103402276A
CN103402276A CN2013103120585A CN201310312058A CN103402276A CN 103402276 A CN103402276 A CN 103402276A CN 2013103120585 A CN2013103120585 A CN 2013103120585A CN 201310312058 A CN201310312058 A CN 201310312058A CN 103402276 A CN103402276 A CN 103402276A
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node
network
data
internet
sensing
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李静
鲁旭涛
李文檀
王博
王建中
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North University of China
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North University of China
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    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02DCLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
    • Y02D30/00Reducing energy consumption in communication networks
    • Y02D30/70Reducing energy consumption in communication networks in wireless communication networks

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Abstract

The invention relates to an internet of things network model, in particular to a system and a method for efficiently transmitting mass sensing data of an internet of things. According to the system and the method, the problems of high energy consumption, short network life cycle, narrow application range, weak convergence and poor practical application in a traditional internet of things network model are solved. The system for efficiently transmitting the mass sensing data of the internet of things comprises a plurality of sensing nodes, a plurality of sink nodes, a plurality of relay nodes and a management platform, wherein various sensing nodes are automatically networked to form a plurality of sensing node self-organizing networks; each sink node is positioned in a coverage area of each sensing node self-organizing network and in a blind zone between every two sensing node self-organizing networks; various sink nodes are networked to form a sink node network; the relay nodes are positioned in the coverage area of the sink node network; the management platform is positioned in the coverage area of the relay nodes. The system and the method disclosed by the invention are suitable for the large-scale internet of things.

Description

Internet of Things magnanimity perception data high efficiency of transmission system and method
Technical field
The present invention relates to the Internet of Things network model, specifically a kind of Internet of Things magnanimity perception data high efficiency of transmission system and method.
Background technology
Existing Internet of Things network model mainly is divided into three kinds according to its structure: based on the Internet of Things network model of bunch tree structure, data-centered Internet of Things network model, based on the Internet of Things network model of cellular automata.Wherein, based on the Internet of Things network model of bunch tree structure, have the problem of two aspects: on the one hand, its nodal function is layering, and its leader cluster node can transmit a large amount of data usually, causes its energy consumption large.On the other hand, its node is unequal, causes its network life cycle short.The same problem that has two aspects of data-centered Internet of Things network model: on the one hand, the node location that it depends on Data Identification and appointment, cause its narrow application range (not being suitable for dynamically and the wireless sensor network of random distribution).On the other hand, a little less than its convergence.There is the poor problem of practical application in Internet of Things network model based on cellular automata.Based on this, be necessary to invent a kind of brand-new Internet of Things network model, existing Internet of Things network model energy consumption is large, network life cycle is short to solve, a little less than narrow application range, convergence and the poor problem of practical application.
Summary of the invention
Existing Internet of Things network model energy consumption is large, network life cycle is short in order to solve in the present invention, a little less than narrow application range, convergence and the poor problem of practical application, provide a kind of Internet of Things magnanimity perception data high efficiency of transmission system and method.
The present invention adopts following technical scheme to realize: Internet of Things magnanimity perception data high efficiency of transmission system comprises sensing node, aggregation node, via node, management platform; The number of sensing node is several; Each sensing node automatic network-building forms several sensing node self-organizing networks; The number of aggregation node is several; Each aggregation node lays respectively in the overlay area of each sensing node self-organizing network and in the blind area between each sensing node self-organizing network; Each aggregation node networking forms the aggregation node network; Via node is positioned at the overlay area of aggregation node network; Management platform is positioned at the overlay area of via node.
Internet of Things magnanimity perception data high-efficiency transmission method (the method completes in Internet of Things magnanimity perception data high efficiency of transmission system of the present invention), the method are to adopt following steps to realize:
A. each sensing node image data, and the data upload that will collect by each sensing node self-organizing network is to each aggregation node;
B. each aggregation node receives data, and the data from same sensing node self-organizing network are carried out to normalized, then by the aggregation node network by the data upload after normalized to via node;
C. via node receives data, and the data from the aggregation node network are carried out to normalized, then by the data upload after normalized to management platform;
D. management platform receives data, and the data from via node are carried out to normalized, then according to the data after normalized, generates decision instruction, and decision instruction is issued to via node;
E. via node receives decision instruction, and by the aggregation node network, decision instruction is issued to each aggregation node;
F. each aggregation node receives decision instruction, and by each sensing node self-organizing network, decision instruction is issued to each sensing node.
With existing Internet of Things network model, compare, Internet of Things magnanimity perception data high efficiency of transmission system and method for the present invention has following advantage: one, with the Internet of Things network model based on bunch tree structure, compare, on the one hand, it is by carrying out normalized to data, significantly reduce the volume of transmitted data of its node, thereby effectively strengthened its network robustness, effectively reduced its energy consumption.On the other hand, its node is equality, thereby has effectively extended its network life cycle.Its two, with data-centered Internet of Things network model, compare, on the one hand, it is without the node location that depends on Data Identification and appointment, thereby has effectively widened its scope of application (being applicable to fully dynamically and the wireless sensor network of random distribution).On the other hand, its convergence is stronger.Its three, with the Internet of Things network model based on cellular automata, compare, its practical application is stronger.In sum, Internet of Things magnanimity perception data high efficiency of transmission system and method for the present invention is made decisions on one's own layer by layer by sensing node, aggregation node, via node, management platform, and by sensing node, aggregation node, via node, management platform, mass data is carried out to normalized, realized the high efficiency of transmission of mass data, thereby efficiently solved that existing Internet of Things network model energy consumption is large, network life cycle is short, narrow application range, convergence is weak and the poor problem of practical application.
The present invention efficiently solves that existing Internet of Things network model energy consumption is large, network life cycle is short, narrow application range, convergence is weak and the poor problem of practical application, is applicable to extensive Internet of Things.
The accompanying drawing explanation
Fig. 1 is structural representation of the present invention.
In figure: 1-sensing node, 2-aggregation node, 3-via node, 4-management platform, the overlay area of 5-sensing node self-organizing network, the overlay area of 6-aggregation node network, the overlay area of 7-via node.
Embodiment
Internet of Things magnanimity perception data high efficiency of transmission system, comprise sensing node 1, aggregation node 2, via node 3, management platform 4;
The number of sensing node 1 is several; Each sensing node 1 automatic network-building forms several sensing node self-organizing networks;
The number of aggregation node 2 is several; Each aggregation node 2 lays respectively in the overlay area 5 of each sensing node self-organizing network and in the blind area between each sensing node self-organizing network; Each aggregation node 2 networkings form the aggregation node network;
Via node 3 is positioned at the overlay area 6 of aggregation node network;
Management platform 4 is positioned at the overlay area 7 of via node 3.
Internet of Things magnanimity perception data high-efficiency transmission method (the method completes in Internet of Things magnanimity perception data high efficiency of transmission system of the present invention), the method are to adopt following steps to realize:
A. each sensing node 1 image data, and the data upload that will collect by each sensing node self-organizing network is to each aggregation node 2;
B. each aggregation node 2 receives data, and the data from same sensing node self-organizing network are carried out to normalized, then by the aggregation node network by the data upload after normalized to via node 3;
C. via node 3 receives data, and the data from the aggregation node network are carried out to normalized, then by the data upload after normalized to management platform 4;
D. management platform 4 receives data, and the data from via node 3 are carried out to normalized, then according to the data after normalized, generates decision instruction, and decision instruction is issued to via node 3;
E. via node 3 receives decision instruction, and by the aggregation node network, decision instruction is issued to each aggregation node 2;
F. each aggregation node 2 receives decision instruction, and by each sensing node self-organizing network, decision instruction is issued to each sensing node 1.

Claims (2)

1. an Internet of Things magnanimity perception data high efficiency of transmission system, is characterized in that: comprise sensing node (1), aggregation node (2), via node (3), management platform (4);
The number of sensing node (1) is several; Each sensing node (1) automatic network-building forms several sensing node self-organizing networks;
The number of aggregation node (2) is several; Each aggregation node (2) lays respectively in the overlay area (5) of each sensing node self-organizing network and in the blind area between each sensing node self-organizing network; Each aggregation node (2) networking forms the aggregation node network;
Via node (3) is positioned at the overlay area (6) of aggregation node network;
Management platform (4) is positioned at the overlay area (7) of via node (3).
2. Internet of Things magnanimity perception data high-efficiency transmission method, the method completes in Internet of Things magnanimity perception data high efficiency of transmission system as claimed in claim 1, it is characterized in that: the method is to adopt following steps to realize:
A. each sensing node (1) image data, and the data upload that will collect by each sensing node self-organizing network is to each aggregation node (2);
B. each aggregation node (2) receives data, and the data from same sensing node self-organizing network are carried out to normalized, then by the aggregation node network by the data upload after normalized to via node (3);
C. via node (3) receives data, and the data from the aggregation node network are carried out to normalized, then by the data upload after normalized to management platform (4);
D. management platform (4) receives data, and the data from via node (3) are carried out to normalized, then according to the data after normalized, generates decision instruction, and decision instruction is issued to via node (3);
E. via node (3) receives decision instruction, and by the aggregation node network, decision instruction is issued to each aggregation node (2);
F. each aggregation node (2) receives decision instruction, and by each sensing node self-organizing network, decision instruction is issued to each sensing node (1).
CN2013103120585A 2013-07-24 2013-07-24 System and method for efficiently transmitting mass sensing data of internet of things Pending CN103402276A (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103905249A (en) * 2014-03-18 2014-07-02 重庆邮电大学 Mobile Internet network monitoring management method based on JXME
CN107465719A (en) * 2017-06-21 2017-12-12 深圳市盛路物联通讯技术有限公司 A kind of data processing method and system applied to Internet of Things
CN111683376A (en) * 2020-06-02 2020-09-18 中北大学 Optimized deployment method for nodes of field collaborative irrigation communication network

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CN101166127A (en) * 2006-10-16 2008-04-23 武汉大学 Real time monitoring system for reservoir flood information based on radio sensing network
CN101651584A (en) * 2008-03-14 2010-02-17 江苏大学 Greenhouse three-layer wireless network measurement and control system and layering and clustering method thereof
CN102404817A (en) * 2011-10-25 2012-04-04 中国科学院计算技术研究所 Networking method and system for wireless sensor network based on multiple sink nodes
CN102438333A (en) * 2010-09-29 2012-05-02 中兴通讯股份有限公司 Universal wireless sensor network system and information processing method thereof
CN102760363A (en) * 2012-07-18 2012-10-31 无锡赛思汇智科技有限公司 Parking place monitoring system based on combination of weak magnetic sensor and self-organized network technology

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101166127A (en) * 2006-10-16 2008-04-23 武汉大学 Real time monitoring system for reservoir flood information based on radio sensing network
CN101651584A (en) * 2008-03-14 2010-02-17 江苏大学 Greenhouse three-layer wireless network measurement and control system and layering and clustering method thereof
CN102438333A (en) * 2010-09-29 2012-05-02 中兴通讯股份有限公司 Universal wireless sensor network system and information processing method thereof
CN102404817A (en) * 2011-10-25 2012-04-04 中国科学院计算技术研究所 Networking method and system for wireless sensor network based on multiple sink nodes
CN102760363A (en) * 2012-07-18 2012-10-31 无锡赛思汇智科技有限公司 Parking place monitoring system based on combination of weak magnetic sensor and self-organized network technology

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103905249A (en) * 2014-03-18 2014-07-02 重庆邮电大学 Mobile Internet network monitoring management method based on JXME
CN103905249B (en) * 2014-03-18 2017-03-29 重庆邮电大学 A kind of mobile Internet network method for managing and monitoring based on JXME
CN107465719A (en) * 2017-06-21 2017-12-12 深圳市盛路物联通讯技术有限公司 A kind of data processing method and system applied to Internet of Things
CN107465719B (en) * 2017-06-21 2020-06-16 深圳市盛路物联通讯技术有限公司 Data processing method and system applied to Internet of things
CN111683376A (en) * 2020-06-02 2020-09-18 中北大学 Optimized deployment method for nodes of field collaborative irrigation communication network
CN111683376B (en) * 2020-06-02 2022-06-24 中北大学 Optimized deployment method for nodes of field collaborative irrigation communication network

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