CN111314927A - K-level coverage starting method based on Lelo triangle wireless sensor area - Google Patents
K-level coverage starting method based on Lelo triangle wireless sensor area Download PDFInfo
- Publication number
- CN111314927A CN111314927A CN202010185214.6A CN202010185214A CN111314927A CN 111314927 A CN111314927 A CN 111314927A CN 202010185214 A CN202010185214 A CN 202010185214A CN 111314927 A CN111314927 A CN 111314927A
- Authority
- CN
- China
- Prior art keywords
- sub
- sensor
- unit
- node
- level
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W16/00—Network planning, e.g. coverage or traffic planning tools; Network deployment, e.g. resource partitioning or cells structures
- H04W16/18—Network planning tools
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
- H04W4/02—Services making use of location information
- H04W4/021—Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W40/00—Communication routing or communication path finding
- H04W40/02—Communication route or path selection, e.g. power-based or shortest path routing
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04W—WIRELESS COMMUNICATION NETWORKS
- H04W84/00—Network topologies
- H04W84/18—Self-organising networks, e.g. ad-hoc networks or sensor networks
-
- Y—GENERAL 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/70—Reducing energy consumption in communication networks in wireless communication networks
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
A k-level coverage starting method based on a Lelo triangle wireless sensor area comprises the following steps: 1) dividing a target area A by taking a Reuluo triangle with r/2 as side length as a unit; 2) rt is divided into unitsiJoin Unit set Subi(ii) a 3) Calculating a weight value for each cell coverageSub is arranged from small to large according to weight valuei(ii) a 4) Activating all sensors to be in a monitoring state, and calculating the weight value of each sensorAdding a monitoring sensor set Sub according to the weight values(ii) a 5) Operation unit set Subi(ii) a 6) Operating a Primary Start set Subk(ii) a 7) Set of sniffers SubsAll the monitoring nodes in the network are switched to a sleep state. The invention has the advantages of low starting node number, low consumption and high space utilization rate.
Description
Technical Field
The invention relates to a method for starting coverage of a wireless sensor area, in particular to a method for reducing the starting number of area sensor nodes so as to prolong the life cycle of a system network facing k-level area coverage.
Background
The wireless sensor network has the characteristics of convenience in deployment, high precision, high reliability and the like, and is widely concerned in the fields of monitoring, transmission and the like. In recent years, with the rapid development of the sensor technology level, the application field of the sensor technology level is extended to the aspects of social life, and higher requirements are also put forward on the wireless sensor network monitoring service standard. Different application fields have different requirements on network coverage quality, network lifetime and other performances. The sensor can help people to collect information and make a decision quickly according to information content mainly according to the capacity of the physical world and the digital world, so that the sensor has greater application potential in application scenes with higher real-time requirements, such as monitoring of military battlefields on enemy units, monitoring of wild animals and fire disasters in forests and the like.
The problem of area coverage is a basic problem in a wireless sensor network, and the problem mainly solved is how to ensure that a target area is effectively monitored by nodes after the sensor nodes are deployed, which reflects the monitoring quality of the target area by the sensor nodes and is also one of important evaluation indexes of network service quality. The deployment of the wireless sensor network nodes can be divided into two deployment modes of determinacy and randomness. Deterministic deployment approaches are often used to determine node locations when the network is environmentally friendly and the size of the network is not large. When the node positions cannot be deployed manually in some cases, for example, the natural environment is bad, the sensor nodes are deployed by means of tools such as an aircraft, and the method is called a random deployment mode. Because the node position under the deployment mode can not be determined in advance, compared with the deterministic deployment mode, the number of the sensor nodes deployed randomly is often far greater than that of the nodes required for realizing complete coverage, so that the problem that the nodes cannot continuously execute monitoring tasks due to self energy exhaustion or external force damage is solved, and the problem of difficult control of the node coverage is also brought.
Some important target areas often need higher monitoring quality requirements, and multiple coverage needs to be performed on the target areas, which is a problem of coverage of k-level area. The k-level coverage problem of random node deployment, sensors typically use a limited-energy battery supply, as sensor nodes are limited by manufacturing cost and volume size. When sensor nodes are actually deployed randomly, due to the fact that a target area is large, the scale of network deployment is large, the distribution range of the nodes is wide, and the deployment environment is complex, it is very difficult to supplement battery energy through battery replacement or charging means. The existing research proves that two methods can effectively prolong the life cycle of the network: the first is the density of the control nodes and the second is the node scheduling status. With the first method, it is difficult to reduce the density of deployed sensors in the case of random deployment. For the second method, under the condition of not reducing the service performance and the coverage requirement of the system, a part of nodes are selected as active nodes, and the rest nodes are in a sleep state, so that the number of the active nodes is reduced, the efficiency of utilizing the system energy can be improved, and the life cycle of a system network is prolonged, so that the loss is reduced. The methods presented herein may address this issue.
Disclosure of Invention
In order to solve the defects of the prior art of area random deployment, the invention provides a k-level coverage starting method based on a Lelo triangle wireless sensor area, which has the advantages of low starting node number, low consumption and high space utilization rate, reduces the active number of sensor nodes under the condition of ensuring the coverage of the k-level area, and starts the area nodes by using a Lelo triangle with radius of r/2 as a basic unit, thereby prolonging the life cycle of a wireless sensor network. According to application requirements, the radius of the coverage range of the sensor is set to be r, the radius of the communication of the sensor is set to be 2r, and the sensors can communicate with each other to sense the distance and the coverage content of each other. Dividing the target area by taking a Lelo triangle with r/2 as the side length as a unit, setting a unit weight function for the unit according to the number covered by the sensor, and setting a sensor weight function for the unit covered by the sensor. The states of the sensor are divided into three states of sleeping, monitoring and starting.
In order to solve the technical problems, the invention provides the following technical scheme:
a k-level coverage starting method based on a Lelo triangle wireless sensor area comprises the following steps:
1) activating all sensors brings the sensors into a listening state by taking the reuleaux triangle as the unit rtiRegularly partitioning RT for region A2/r(A) The side length of the unit is r/2, the covering radius of the sensor is r, and the communication radius is 2 r;
2) rt is divided into unitsiJoin Unit set Subi,rti∈RT2/r(A);
3) Count the number of units covered by the sensorsAs a function of the cell weightCalculating a weight value for each cell coverageArranging RTs from small to large according to weight values2/r(A);
4) Count by number of complete covered units of the sensoriAs initial weight of sensorCalculating a weight value for each sensorAdding a monitoring sensor set Sub according to the weight values;
5) Operation unit set SubiThe process is as follows:
(5.1) judgment of SubiWhether it is an empty set, if it is an empty set, enter 6), if not, from SubiIn which the first unit rt is selectedi;
(5.2) determination Unit rtiWhether it is covered or not, if it is covered, the slave SubiMiddle deletion selection unit rtiAnd returning to (5.1) and entering (5.3) if not covered;
(5.3) by the selection unit rtiOperation listening sensor set Subs;
6) Operating a Primary Start set SubkThe process is as follows:
(6.1) judgment of SubkIf the node is not an empty set, the step 7 is carried out, and if the node is not an empty set, the first node S is selected according to the sequencei;
(6.2) judging the Start node SiWhether all cells of the complete coverage are covered by k-1 level, if so, SiSlave SubkIf all the cells are not covered by the k-1 level or part of the cells are not covered by the k-1 level, deleting the cells and returning the cells (6.1) (6.3);
(6.3) judging whether the complete coverage unit of the starting node is a partial unit which is not covered by the k-1 level, if not, entering (6.4) by the k-1 level coverage, and if not, entering (6.5) by the k-1 level coverage;
(6.4) judging the Start node SiSensor node S in the unitkIf the number CountkIf the number of the monitoring sensor nodes is more than or equal to k-1, starting k-1 monitoring sensor nodes in the unit, and collecting the k-1 starting nodes from the monitoring sensor set SubsDeleting SiSlave SubkIf the quantity Count is equal to (6.1) is deleted and returnedkIf k-1 is less, all monitoring nodes in the unit are started;
(6.5) to the initiating node SiListening node S in a neighboring cellkSelecting a first adjacent monitoring node S according to the sequence from large to small of the number of the covering units which completely cover the starting node and do not meet the k-1 levelkStart and mix SiSlave SubsDeleted and returned (6.2);
7) will monitor the sensor set SubsAll the monitoring nodes in the network are switched to a sleep state.
Further, the process of (5.3) is as follows:
(5.3.1) according to SubsSequentially selecting a node S containing the celliThe start-up is performed. Slave SubsDeletion of SiAnd mixing SiJoining a Primary Start set SubkPerforming the following steps;
(5.3.2) update the sensor weight value containing the unit not activated, update SubsAnd arranged from large to small.
The technical conception of the invention is as follows: and taking a Leluo triangle with the side length being half of the coverage radius of the sensor as a basic unit partition area, and starting a node to achieve the coverage of the area level 1 by weighting the unit and the sensor. And performing k-1 level coverage on the node area with the 1 level coverage started according to the size of k level to achieve the effect of k level area coverage. The method can greatly reduce the starting number of the area coverage nodes, thereby saving the energy consumption of the sensor and prolonging the life cycle of the wireless sensor network.
The invention has the beneficial effects that: low starting node number, low consumption and high space utilization rate.
Drawings
FIG. 1 is a schematic diagram of the structure of the Reuleaux triangle of the present invention;
FIG. 2 is a schematic diagram of the sensor maximum weight structure of the present invention;
FIG. 3 is a schematic diagram of a cell structure of a coverage area of a level 1 coverage initiation node according to the present invention;
FIG. 4 is a schematic diagram of the level 1 overlay initiator node and neighboring node initiation in accordance with the present invention;
fig. 5 is a flow chart of a method of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings.
Referring to fig. 1 to 5, a k-level coverage starting method based on a reuleaux triangle wireless sensor area includes the following steps:
1) dividing a target area A by taking a Reuluo triangle with r/2 as side length as a unit;
2) rt is divided into unitsiJoin Unit set Subi;
3) Calculating a weight value for each cell coverageAccording to the weighted valueArrange Sub from small to largei;
4) Activating all sensors to be in a monitoring state, and calculating the weight value of each sensorAdding a monitoring sensor set Sub according to the weight values;
5) Operation unit set SubiSelecting units according to the sequence, wherein the process is as follows;
(5.1) judgment of SubiWhether it is an empty set, if it is an empty set, enter 6), if not, from SubiIn which the first unit rt is selectedi;
(5.2) determination Unit rtiWhether it is covered or not, if it is covered, the slave SubiMiddle deletion selection unit rtiAnd returning to (5.1) and entering (5.3) if not covered;
(5.3) by the selection unit rtiOperation listening sensor set Subs;
(5.3.1) according to SubsSequentially selecting a node S containing the celliStarting up, from SubsDeletion of SiAnd mixing SiJoining a Primary Start set SubkPerforming the following steps;
(5.3.2) update the sensor weight value containing the unit not activated, update SubsAnd arranged from large to small;
(5.4) slave Unit set SubiMiddle deletion selection unit rtiAnd returning to (5.1);
6) operating a Primary Start set SubkAnd sequentially selecting starting nodes from the set, wherein the process is as follows:
(6.1) judgment of SubkIf the set is an empty set, entering a step 7 if the set is the empty set;
(6.2) judging the Start node SiWhether all cells of the complete coverage are covered by k-1 level, if so, SiSlave SubkIf all the cells are not covered by the k-1 level or part of the cells are not covered by the k-1 level, deleting the cells and returning the cells (6.1) (6.3);
(6.3) judging whether the complete coverage unit of the starting node is a partial unit which is not covered by the k-1 level, if not, entering (6.4) by the k-1 level coverage, and if not, entering (6.5) by the k-1 level coverage;
(6.4) judging the Start node SiMonitoring node S in the unitkIf the number CountkIf the number of the monitoring sensor nodes is more than or equal to k-1, starting k-1 monitoring sensor nodes in the unit, and collecting the k-1 starting nodes from the monitoring sensor set SubsDeleting SiSlave SubkIf the quantity Count is equal to (6.1) is deleted and returnedkIf k-1 is less, all monitoring nodes in the unit are started;
(6.5) to the initiating node SiListening node S in a neighboring cellkSelecting a first adjacent monitoring node S according to the sequence from large to small of the number of the covering units which completely cover the starting node and do not meet the k-1 levelkStart and mix SiSlave SubsDeleted and returned (6.2);
7) set of sniffers SubsAll the monitoring nodes in the network are switched to a sleep state.
The embodiments described in this specification are merely illustrative of implementations of the inventive concept and the scope of the present invention should not be considered limited to the specific forms set forth in the embodiments but rather by the equivalents thereof as may occur to those skilled in the art upon consideration of the present inventive concept.
Claims (2)
1. A k-level coverage starting method based on a Lelo triangle wireless sensor area is characterized by comprising the following steps:
1) activating all sensors brings the sensors into a listening state by taking the reuleaux triangle as the unit rtiRegularly partitioning RT for region A2/r(A) The side length of the unit is r/2, the covering radius of the sensor is r, and the communication radius is 2 r;
2) rt is divided into unitsiJoin Unit set Subi,rti∈RT2/r(A);
3) Count the number of units covered by the sensorsAs a function of the cell weightCalculating a weight value for each cell coverageArranging RTs from small to large according to weight values2/r(A);
4) Count by number of complete covered units of the sensoriAs initial weight of sensorCalculating a weight value for each sensorAdding a monitoring sensor set Sub according to the weight values;
5) Operation unit set SubiThe process is as follows:
(5.1) judgment of SubiWhether it is an empty set, if it is an empty set, enter 6), if not, from SubiIn which the first unit rt is selectedi;
(5.2) determination Unit rtiWhether it is covered or not, if it is covered, the slave SubiMiddle deletion selection unit rtiAnd returning to (5.1) and entering (5.3) if not covered;
(5.3) by the selection unit rtiOperation listening sensor set Subs;
6) Operating a Primary Start set SubkThe process is as follows:
(6.1) judgment of SubkIf the node is not an empty set, the step 7 is carried out, and if the node is not an empty set, the first node S is selected according to the sequencei;
(6.2) judging the Start node SiWhether all cells of the complete coverage are covered by k-1 level, if so, SiSlave SubkIf all the cells are not covered by the k-1 level or part of the cells are not covered by the k-1 level, deleting the cells and returning the cells (6.1) (6.3);
(6.3) judging whether the complete coverage unit of the starting node is a partial unit which is not covered by the k-1 level, if not, entering (6.4) by the k-1 level coverage, and if not, entering (6.5) by the k-1 level coverage;
(6.4) judging the Start node SiSensor node S in the unitkIf the number CountkIf the number of the monitoring sensor nodes is more than or equal to k-1, starting k-1 monitoring sensor nodes in the unit, and collecting the k-1 starting nodes from the monitoring sensor set SubsDeleting SiSlave SubkIf the quantity Count is equal to (6.1) is deleted and returnedkIf k-1 is less, all monitoring nodes in the unit are started;
(6.5) to the initiating node SiListening node S in a neighboring cellkSelecting a first adjacent monitoring node S according to the sequence from large to small of the number of the covering units which completely cover the starting node and do not meet the k-1 levelkStart and mix SiSlave SubsDeleted and returned (6.2);
7) will monitor the sensor set SubsAll the monitoring nodes in the network are switched to a sleep state.
2. The method for starting k-level coverage in a Lulo-triangular-based wireless sensor area as claimed in claim 1, wherein the process of (5.3) is as follows:
(5.3.1) according to SubsSequentially selecting a node S containing the celliStarting up, from SubsDeletion of SiAnd mixing SiJoining a Primary Start set SubkPerforming the following steps;
(5.3.2) update the sensor weight value containing the unit not activated, update SubsAnd arranged from large to small.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010185214.6A CN111314927B (en) | 2020-03-17 | 2020-03-17 | Area k-level coverage starting method based on Lerlo triangle wireless sensor |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202010185214.6A CN111314927B (en) | 2020-03-17 | 2020-03-17 | Area k-level coverage starting method based on Lerlo triangle wireless sensor |
Publications (2)
Publication Number | Publication Date |
---|---|
CN111314927A true CN111314927A (en) | 2020-06-19 |
CN111314927B CN111314927B (en) | 2023-06-27 |
Family
ID=71147185
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202010185214.6A Active CN111314927B (en) | 2020-03-17 | 2020-03-17 | Area k-level coverage starting method based on Lerlo triangle wireless sensor |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN111314927B (en) |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102083085A (en) * | 2011-02-14 | 2011-06-01 | 洛阳理工学院 | Wireless sensor network optimizing method |
WO2016082254A1 (en) * | 2014-11-27 | 2016-06-02 | 中国科学院沈阳自动化研究所 | Robust coverage method for relay nodes in double-layer structure wireless sensor network |
-
2020
- 2020-03-17 CN CN202010185214.6A patent/CN111314927B/en active Active
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102083085A (en) * | 2011-02-14 | 2011-06-01 | 洛阳理工学院 | Wireless sensor network optimizing method |
WO2016082254A1 (en) * | 2014-11-27 | 2016-06-02 | 中国科学院沈阳自动化研究所 | Robust coverage method for relay nodes in double-layer structure wireless sensor network |
Non-Patent Citations (4)
Title |
---|
MANJISH PAL, ETC.: "Sixsoid: A new paradigm for k-coverage in 3D wireless sensor networks" * |
YIBO JIANG, ETC.: "New Method for Weighted Coverage Optimization of Occlusion-Free Surveillance in Wireless Multimedia Sensor Network" * |
蒋一波等: "基于不规则划分的K级区域覆盖增强算法" * |
邢萧飞等: "无线传感器网络k度覆盖控制算法" * |
Also Published As
Publication number | Publication date |
---|---|
CN111314927B (en) | 2023-06-27 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US7702932B2 (en) | Power management of a network by increasing a number of adjacent flows that share a computing device | |
Rashed et al. | WEP: An energy efficient protocol for cluster based heterogeneous wireless sensor network | |
Kumar et al. | EMEEDP: Enhanced multi-hop energy efficient distributed protocol for heterogeneous wireless sensor network | |
CN103763596B (en) | A kind of state switching method and device | |
Ishihara et al. | Active node selection in flowing wireless sensor networks | |
US20120032682A1 (en) | Battery optimization and protection in a low power energy environment | |
He et al. | A reliable energy efficient algorithm for target coverage in wireless sensor networks | |
CN111314927A (en) | K-level coverage starting method based on Lelo triangle wireless sensor area | |
Kui et al. | Energy-balanced clustering protocol for data gathering in wireless sensor networks with unbalanced traffic load | |
Sun et al. | LPOCS: A Novel Linear Programming Optimization Coverage Scheme in Wireless Sensor Networks. | |
Liu | A lifetime-extending deployment strategy for multi-hop wireless sensor networks | |
CN112996076A (en) | Mobile charging and data collection method in wireless sensor network | |
Gao et al. | Sensor scheduling for k-coverage in wireless sensor networks | |
Chen et al. | Energy efficiency of a chain-based scheme with Intra-Grid in wireless sensor networks | |
CN111225398A (en) | Micro-grid wireless sensor network energy consumption optimization method based on cooperative coverage | |
CN110996371A (en) | Clustering algorithm for prolonging life cycle of wireless sensor network | |
US8849325B2 (en) | Determination of maximal independent sets of mobile devices | |
Cho et al. | An energy-efficient cluster-based routing in wireless sensor networks | |
Tarng et al. | Applying cluster merging and dynamic routing mechanisms to extend the lifetime of wireless sensor networks | |
CN107318116B (en) | Method for maximizing abnormal event capture rate in rechargeable wireless sensor network | |
Sun et al. | Study on the Wireless Sensor Network Monitoring System Based on ZigBee Technology and Optimization Algorithm Simulation | |
Liao et al. | An energy-efficient data storage scheme in wireless sensor networks | |
Hansen et al. | A study of maximum lifetime routing in sparse sensor networks | |
Singh et al. | Energy efficient scheduling protocols for heterogeneous WSNs | |
CN114064616B (en) | Distributed storage method and system based on big data platform |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
GR01 | Patent grant | ||
GR01 | Patent grant |