CN111510985A - Wireless sensor network directional diffusion protocol data query method based on cluster bridge - Google Patents

Wireless sensor network directional diffusion protocol data query method based on cluster bridge Download PDF

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CN111510985A
CN111510985A CN202010199972.3A CN202010199972A CN111510985A CN 111510985 A CN111510985 A CN 111510985A CN 202010199972 A CN202010199972 A CN 202010199972A CN 111510985 A CN111510985 A CN 111510985A
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cluster
node
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bridge
network
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CN111510985B (en
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李建坡
王珺
王文婷
王磊
李美霖
薛鹏
李世慈
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Northeast Electric Power University
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State Grid Shandong Electric Power Company Shouguang Power Supply Co
Electric Power Research Institute of State Grid Shandong Electric Power Co Ltd
Northeast Dianli University
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/04Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
    • H04W40/10Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on available power or energy
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W84/00Network topologies
    • H04W84/18Self-organising networks, e.g. ad-hoc networks or sensor networks
    • 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 a method for inquiring data of a directional diffusion protocol of a wireless sensor network based on a cluster bridge, which is characterized by comprising the following steps: it includes a cluster bridge election mechanism based on the node's remaining energy and an interest diffusion mechanism based on the advertised routing table. The invention has the advantages of scientificity, reasonability, high efficiency, energy conservation, high connectivity, capability of ensuring the data query efficiency of the wireless sensor network, prolonging the life cycle of the network and the like.

Description

Wireless sensor network directional diffusion protocol data query method based on cluster bridge
Technical Field
The invention belongs to the technical field of wireless sensor networks, and relates to a method for querying data of a directional diffusion protocol of a wireless sensor network based on a cluster bridge.
Background
The data query technology is one of core technologies of a routing protocol of a wireless sensor network, and has very important significance for efficient operation of the wireless sensor network. The reasonable data query routing method can quickly and effectively acquire required data in a large number of data streams, and reduces network energy consumption. However, most of the existing data query methods are designed based on the improvement of query accuracy, the characteristic of limited network resources is ignored, and the problem of large consumption of network energy caused by the improvement of accuracy is not considered.
The data query method is mainly divided into two stages of query broadcasting and data collection in a routing protocol, and is mainly realized by sending queries to all nodes or a subset of the nodes in a network in the query broadcasting stage, and because the queries are generated according to user requirements, the pertinence and the effectiveness of data collection are greatly improved; in the data collection stage, the data query method mainly adopts a multi-hop forwarding mechanism, and when the sensor node locally observes that the sensing data is matched with the query, the sensor node forwards the sensing data to the base station through a next-hop node close to the base station, so that the energy consumption of data transmission is reduced, and the efficiency of data transmission is improved. The Directed Diffusion protocol (DD) is a typical data-centric query-on-demand routing mechanism, but it still has some problems, mainly due to:
(1) the directed diffusion protocol is based on the topology of a plane architecture, the cost for establishing and maintaining the route is high, the expandability of a network structure is influenced, when the network topology structure changes frequently, the performance of an algorithm is greatly influenced, and the connectivity of the network cannot be ensured;
(2) in the inquiry broadcasting stage, the directional diffusion protocol transmits interest messages to all sensor nodes in the whole monitoring area in a data flooding mode, but repeated information is transmitted to the same node for multiple times, so that implosion and data overlapping of the node are easily caused, in addition, the directional diffusion protocol requires the interest messages to traverse the whole network, so that time and energy costs are high, and unnecessary resource waste of the network is caused;
(3) in the data collection stage, the node residual energy and the node energy consumption are not considered, and when a plurality of strengthening paths use the same node, the information transmission congestion problem of the node is aggravated, so that the node energy is exhausted in advance, and the work of the whole network is influenced.
Disclosure of Invention
The invention aims to provide a wireless sensor network directed diffusion protocol data query method based on a cluster bridge, which is scientific, reasonable, low in energy consumption, high in connectivity and capable of ensuring the data query efficiency of a wireless sensor network, aiming at the problems that the network topology construction of a directed diffusion protocol is unreasonable and the flooding in an interest diffusion stage is unreasonable in the data query method.
The purpose of the invention is realized by the following technical scheme: a method for querying data of a directional diffusion protocol of a wireless sensor network based on a cluster bridge is characterized by comprising the following steps: a cluster bridge election mechanism based on the node's remaining energy and an interest diffusion mechanism based on the advertised routing table,
1) the cluster bridge election mechanism based on the node residual energy;
in the stage of establishing a network topology, a cluster is introduced into a directional diffusion protocol, in order to ensure the connectivity of the network, cluster bridge nodes are established between the clusters, a two-layer network model is established based on the cluster, in-cluster nodes are directly connected with cluster head nodes to form a single-hop low-layer network, the cluster head nodes and the cluster bridge nodes are connected with each other to form a multi-hop high-layer network, and when the in-cluster nodes find that two or more cluster head nodes exist in neighbor nodes, if the residual energy E of the in-cluster nodes is larger than twores-iGreater than a residual energy threshold E0Then, the cluster bridge forming condition is met, and the residual energy threshold value E is reached0Is defined as:
Figure BDA0002417968670000021
wherein E isres-jIs the remaining energy of cluster head node j, NCHWhen two or more intra-cluster nodes have cluster bridge forming conditions at the same time, selecting a cluster bridge node by calculating a cluster bridge election factor f, wherein the cluster bridge election factor is expressed by a formula:
Figure BDA0002417968670000022
wherein N ismaxIndicating the number of nodes surviving in the network, α is a weight parameter, PkReceived power, P, of report messages received by a node from the kth cluster head nodemaxSelecting the intra-cluster node with the largest cluster bridge election factor as a cluster bridge node for the initial transmitting power of the node, after the network topological structure is stable, firstly diffusing an interest message into a high-level network by a base station, diffusing the interest message into each cluster head node through the cluster bridge node in the high-level network, and then forwarding the interest message to the intra-cluster node by the cluster head node;
2) the interest diffusion mechanism based on the advertisement routing table;
setting an announce routing table in the self buffer area of the cluster head node, in the clustering process, each intra-cluster node sends self information to the cluster head node, the cluster head node stores the information into the announce routing table, after the network topology structure is stable, the base station can spread the interest to a higher-level network for data query, the cluster head node is responsible for sending the interest to the cluster inner node in the interest information in a lower-level network, in a lower layer network, in order to avoid the blind diffusion of the interest message, the cluster head node does not directly diffuse the interest message into the cluster, but first compares the self-maintained advertisement routing table with the interest list to determine whether the cluster node monitoring data matched with the interest message exists, if yes, diffusing the interest message into the cluster, further searching for nodes in the cluster, otherwise, discarding the interest message.
The invention discloses a method for inquiring data of a directional diffusion protocol of a wireless sensor network based on a cluster bridge, which comprises the steps of providing a cluster bridge election mechanism based on node residual energy in a cluster bridge election stage, considering the influence of a clustering structure on the directional diffusion protocol, providing a cluster bridge node for reducing the transmitting power of a cluster head node and ensuring the network connectivity, and selecting a cluster node in a cluster with the largest cluster bridge election factor to be a cluster bridge node if the cluster bridge forming condition is met; in the interest diffusion stage, an interest diffusion mechanism based on the notification routing table is provided, whether the interest message is diffused into the cluster is determined by comparing the notification routing table with the interest message, and energy consumption caused by blind flooding diffusion of the interest message is effectively avoided. The invention has the advantages of scientificity, reasonability, high efficiency, energy conservation, high connectivity, capability of ensuring the data query efficiency of the wireless sensor network, prolonging the life cycle of the network and the like.
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FIG. 1 is a flow chart of a method for querying data of a wireless sensor network directional diffusion protocol based on a cluster bridge according to the present invention;
Detailed Description
The invention is further illustrated by the following figures and detailed description.
Referring to fig. 1, the invention relates to a method for querying data of a directional diffusion protocol of a wireless sensor network based on a cluster bridge, which comprises the following steps: a cluster bridge election mechanism based on the node's remaining energy and an interest diffusion mechanism based on the advertised routing table,
1) a cluster bridge election mechanism based on node residual energy;
in the stage of establishing a network topology, a cluster is introduced into a directional diffusion protocol, in order to ensure the connectivity of the network, cluster bridge nodes are established between the clusters, a two-layer network model is established based on the cluster, in-cluster nodes are directly connected with cluster head nodes to form a single-hop low-layer network, the cluster head nodes and the cluster bridge nodes are connected with each other to form a multi-hop high-layer network, and when the in-cluster nodes find that two or more cluster head nodes exist in neighbor nodes, if the residual energy E of the in-cluster nodes is larger than twores-iGreater than a residual energy threshold E0Then, the cluster bridge forming condition is met, and the residual energy threshold value E is reached0Is defined as:
Figure BDA0002417968670000031
wherein E isres-jIs the remaining energy of cluster head node j, NCHWhen two or more intra-cluster nodes have cluster bridge forming conditions at the same time, selecting a cluster bridge node by calculating a cluster bridge election factor f, wherein the cluster bridge election factor is expressed by a formula:
Figure BDA0002417968670000032
wherein N ismaxIndicating the number of nodes surviving in the network, α is a weight parameter, PkReceived power, P, of report messages received by a node from the kth cluster head nodemaxSelecting the intra-cluster node with the largest cluster bridge election factor as a cluster bridge node for the initial transmitting power of the node, after the network topological structure is stable, firstly diffusing an interest message into a high-level network by a base station, diffusing the interest message into each cluster head node through the cluster bridge node in the high-level network, and then forwarding the interest message to the intra-cluster node by the cluster head node;
2) an interest diffusion mechanism based on the advertised routing table;
setting an announce routing table in the self buffer area of the cluster head node, in the clustering process, each intra-cluster node sends self information to the cluster head node, the cluster head node stores the information into the announce routing table, after the network topology structure is stable, the base station can spread the interest to a higher-level network for data query, the cluster head node is responsible for sending the interest to the cluster inner node in the interest information in a lower-level network, in a lower layer network, in order to avoid the blind diffusion of the interest message, the cluster head node does not directly diffuse the interest message into the cluster, but first compares the self-maintained advertisement routing table with the interest list to determine whether the cluster node monitoring data matched with the interest message exists, if yes, diffusing the interest message into the cluster, further searching for nodes in the cluster, otherwise, discarding the interest message.
The software routines of the present invention are programmed according to automation, networking and computer processing techniques, and are well known to those skilled in the art.

Claims (1)

1. A method for querying data of a directional diffusion protocol of a wireless sensor network based on a cluster bridge is characterized by comprising the following steps: a cluster bridge election mechanism based on the node's remaining energy and an interest diffusion mechanism based on the advertised routing table,
1) the cluster bridge election mechanism based on the node residual energy;
in the stage of establishing a network topology, a cluster is introduced into a directional diffusion protocol, in order to ensure the connectivity of the network, cluster bridge nodes are established between the clusters, a two-layer network model is established based on the cluster, in-cluster nodes are directly connected with cluster head nodes to form a single-hop low-layer network, the cluster head nodes and the cluster bridge nodes are connected with each other to form a multi-hop high-layer network, and when the in-cluster nodes find that two or more cluster head nodes exist in neighbor nodes, if the residual energy E of the in-cluster nodes is larger than twores-iGreater than a residual energy threshold E0Then, the cluster bridge forming condition is met, and the residual energy threshold value E is reached0Is defined as:
Figure FDA0002417968660000011
wherein E isres-jIs the remaining energy of cluster head node j, NCHWhen two or more intra-cluster nodes have cluster bridge forming conditions at the same time, selecting a cluster bridge node by calculating a cluster bridge election factor f, wherein the cluster bridge election factor is expressed by a formula:
Figure FDA0002417968660000012
wherein N ismaxRepresenting premises in a networkNumber of surviving nodes, α is the weight parameter, PkReceived power, P, of report messages received by a node from the kth cluster head nodemaxSelecting the intra-cluster node with the largest cluster bridge election factor as a cluster bridge node for the initial transmitting power of the node, after the network topological structure is stable, firstly diffusing an interest message into a high-level network by a base station, diffusing the interest message into each cluster head node through the cluster bridge node in the high-level network, and then forwarding the interest message to the intra-cluster node by the cluster head node;
2) the interest diffusion mechanism based on the advertisement routing table;
setting an announce routing table in the self buffer area of the cluster head node, in the clustering process, each intra-cluster node sends self information to the cluster head node, the cluster head node stores the information into the announce routing table, after the network topology structure is stable, the base station can spread the interest to a higher-level network for data query, the cluster head node is responsible for sending the interest to the cluster inner node in the interest information in a lower-level network, in a lower layer network, in order to avoid the blind diffusion of the interest message, the cluster head node does not directly diffuse the interest message into the cluster, but first compares the self-maintained advertisement routing table with the interest list to determine whether the cluster node monitoring data matched with the interest message exists, if yes, diffusing the interest message into the cluster, further searching for nodes in the cluster, otherwise, discarding the interest message.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113316211A (en) * 2021-04-22 2021-08-27 浙江农林大学 Tree growth remote measuring method and system based on directional diffusion protocol

Citations (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007035863A2 (en) * 2005-09-21 2007-03-29 Intermec Ip Corp. Radio frequency identification tags based on coalition formation
CN101489275A (en) * 2009-02-27 2009-07-22 山东大学 Relay wireless sensor network routing method based on energy balance and distance cooperation
CN101715243A (en) * 2009-10-21 2010-05-26 南京邮电大学 Wireless sensor network hierarchical cluster-based routing method
CN101808390A (en) * 2010-03-08 2010-08-18 南昌航空大学 Construction method of aggregation tree for collecting self health state of wireless sensor network
US20110188378A1 (en) * 2007-03-12 2011-08-04 Sandra Collins Arrangement and Method Relating to Network Management
CN102547906A (en) * 2011-12-28 2012-07-04 南昌大学 Wireless sensor network node cooperation method based on virtual MIMO (multi-input multi-output)
CN102647250A (en) * 2012-03-06 2012-08-22 上海大学 Cooperative communication method based on clustering sphere decoding in virtual MIMO (Multiple-Input Multiple-Output)
CN103139862A (en) * 2012-11-22 2013-06-05 江南大学 Wireless sensor network multi-source data fusion method based on queries
CN103298054A (en) * 2013-06-04 2013-09-11 四川大学 Wireless sensor network cluster routing protocol based on node depth
CN103561406A (en) * 2013-09-03 2014-02-05 南京林业大学 Wireless sensing routing algorithm with cluster cellular segmentation based on energy balance
CN104994554A (en) * 2015-05-04 2015-10-21 四川大学 Mobile assistance WSNs routing method based on unequal clustering
CN105636143A (en) * 2015-12-29 2016-06-01 河海大学 Wireless sensor network clustering collaborative routing algorithm based on cooperative game
CN106304235A (en) * 2016-08-22 2017-01-04 广东工业大学 A kind of collaborative clustering routing communication means divided based on hierarchical region in WSN
CN108401239A (en) * 2018-03-03 2018-08-14 深圳明创自控技术有限公司 A kind of gas ductwork intelligent monitor system based on cloud computing and WSN technology

Patent Citations (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007035863A2 (en) * 2005-09-21 2007-03-29 Intermec Ip Corp. Radio frequency identification tags based on coalition formation
US20080252424A1 (en) * 2005-09-21 2008-10-16 Intermec Ip Corp. Stochastic Communication Protocol Method and System For Radio Frequency Identification (Rfid) Tags Based on Coalition Formation, Such as For Tag-To-Tag Communication
US20110188378A1 (en) * 2007-03-12 2011-08-04 Sandra Collins Arrangement and Method Relating to Network Management
CN101489275A (en) * 2009-02-27 2009-07-22 山东大学 Relay wireless sensor network routing method based on energy balance and distance cooperation
CN101715243A (en) * 2009-10-21 2010-05-26 南京邮电大学 Wireless sensor network hierarchical cluster-based routing method
CN101808390A (en) * 2010-03-08 2010-08-18 南昌航空大学 Construction method of aggregation tree for collecting self health state of wireless sensor network
CN102547906A (en) * 2011-12-28 2012-07-04 南昌大学 Wireless sensor network node cooperation method based on virtual MIMO (multi-input multi-output)
CN102647250A (en) * 2012-03-06 2012-08-22 上海大学 Cooperative communication method based on clustering sphere decoding in virtual MIMO (Multiple-Input Multiple-Output)
CN103139862A (en) * 2012-11-22 2013-06-05 江南大学 Wireless sensor network multi-source data fusion method based on queries
CN103298054A (en) * 2013-06-04 2013-09-11 四川大学 Wireless sensor network cluster routing protocol based on node depth
CN103561406A (en) * 2013-09-03 2014-02-05 南京林业大学 Wireless sensing routing algorithm with cluster cellular segmentation based on energy balance
CN104994554A (en) * 2015-05-04 2015-10-21 四川大学 Mobile assistance WSNs routing method based on unequal clustering
CN105636143A (en) * 2015-12-29 2016-06-01 河海大学 Wireless sensor network clustering collaborative routing algorithm based on cooperative game
CN106304235A (en) * 2016-08-22 2017-01-04 广东工业大学 A kind of collaborative clustering routing communication means divided based on hierarchical region in WSN
CN108401239A (en) * 2018-03-03 2018-08-14 深圳明创自控技术有限公司 A kind of gas ductwork intelligent monitor system based on cloud computing and WSN technology

Non-Patent Citations (4)

* Cited by examiner, † Cited by third party
Title
""S1-180243 - TR 22.804 V1.1.0 - study on communication for automation in vertical domains - final - clean"", 《3GPP TSG_SA\WG1_SERV》 *
B.VENKATA SAIKUMAR: "A_systematic_approach_for_analyzing_hop_count_and_path_reliability_of_mobile_Ad_Hoc_networks", 《IEEE XPLORE》 *
王传云: "无线传感器网络拓扑控制机制研究", 《中国优秀硕士学位论文全文数据库(电子期刊)信息科技辑》 *
陈年生: "无线移动自组织网络QoS路由协议的研究", 《中国优秀硕士学位论文全文数据库(电子期刊)信息科技辑》 *

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113316211A (en) * 2021-04-22 2021-08-27 浙江农林大学 Tree growth remote measuring method and system based on directional diffusion protocol
CN113316211B (en) * 2021-04-22 2022-05-17 浙江农林大学 Tree growth remote measuring method and system based on directional diffusion protocol

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