CN107172675A - The charging method that data are route is combined in a kind of WRSNs - Google Patents
The charging method that data are route is combined in a kind of WRSNs Download PDFInfo
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- CN107172675A CN107172675A CN201710247559.8A CN201710247559A CN107172675A CN 107172675 A CN107172675 A CN 107172675A CN 201710247559 A CN201710247559 A CN 201710247559A CN 107172675 A CN107172675 A CN 107172675A
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- 238000000034 method Methods 0.000 title claims abstract description 33
- 238000005265 energy consumption Methods 0.000 claims abstract description 30
- 238000004891 communication Methods 0.000 claims abstract description 17
- 238000005516 engineering process Methods 0.000 claims description 5
- 238000013461 design Methods 0.000 claims description 4
- 230000005540 biological transmission Effects 0.000 claims description 2
- 230000008878 coupling Effects 0.000 claims description 2
- 238000010168 coupling process Methods 0.000 claims description 2
- 238000005859 coupling reaction Methods 0.000 claims description 2
- 230000003993 interaction Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 4
- 238000011160 research Methods 0.000 description 4
- 230000005611 electricity Effects 0.000 description 3
- 238000012544 monitoring process Methods 0.000 description 3
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Classifications
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- 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
- H04W40/04—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources
- H04W40/08—Communication route or path selection, e.g. power-based or shortest path routing based on wireless node resources based on transmission power
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
- H02J50/10—Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling
- H02J50/12—Circuit arrangements or systems for wireless supply or distribution of electric power using inductive coupling of the resonant type
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0013—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries acting upon several batteries simultaneously or sequentially
-
- H02J7/025—
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- 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
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- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Power Engineering (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses the charging method that data are route is combined in a kind of WRSNs, first with the charge characteristic planned network method for routing of wireless charger, so that the high node of energy receiving power undertakes more communication task, then charging algorithm is designed according to the route lower node energy consumption speed difference so that the fast node distribution of energy consumption speed more charging intervals.The interaction of wireless charger characteristic and method for routing is fully utilized, the balancing energy of network is realized to the full extent.In addition, the path of charging algorithm make use of the strong spreadability of equilateral triangle, the dwell point of wireless charger is arranged on to the apex of equilateral triangle, and set hexagon path to connect all dwell points, so as to form the mobile route of wireless charger, charging cost is reduced to the full extent, network life is extended, and realizes the equilibrium of network energy.
Description
Technical field
It is particularly to combine data in a kind of WRSNs the present invention relates to wireless chargeable sensor network energy supply field
The charging method of route.
Background technology
The research of wireless sensor network (WSNs) comes from eighties of last century seventies, it is considered to be 21 century most important skill
One of art.Recently as the development of the technologies such as wireless communication technology, microchip manufacture, WSNs is closed by worldwide
Note, and it is widely used in the side such as urban facilities monitoring, intelligent grid monitoring, intelligent transportation, disaster relief and measuring of human health
Face.These applications propose that a common requirement, i.e. sensor network can continuously and effectively work to sensor network.Especially
It is badly regional in remote districts or natural environment, sensor network generally for a long time just can be maintained and update, or even automatically
Deployment is not participated in manually.In order to complete monitoring task, network also needs to keep connectedness, spreadability etc. to require that this is right
The energy of sensor node maintains to propose huge challenge.Due to the usual small volume of sensor node, the electricity that can be carried
Pond electricity is less, accordingly, it is capable to measure problem has turned into the big bottleneck that sensor network is studied, it is that any wireless sensor network should
With all necessary facing challenges.
Wireless chargeable sensor network (WRSNs) turns into a kind of effective ways of extension network life in recent years, and
How to formulate a kind of effective charging algorithm turns into WRSNs research emphasis.Research on WRSNs charging algorithms is very
It is many:Dai Haipeng et al. are in article " Using minimum mobile chargers to keep large-scale
Charged in wireless rechargeable sensor networks running forever " using multiple single pair of lists
Wireless charger provides energy for network, and the problem of propose minimized wireless charger number first, that is, giving can wirelessly fill
Electric transducer network and single wireless charger parameter, it is determined that minimum required charger number and its charging scheme, so as to protect
Card all the sensors node is forever run.He Shibo et al. are in article " Energy provisioning in wireless
Identification platform is perceived with based on frequency read/write, studying by wireless industrial in rechargeable sensor networks "
How all standing problem that multiple chargers realize network to be disposed, it is proposed that point supply supplies two kinds of algorithms with path, draws
Charge node number when disposing charge node as equilateral triangle needed for covering whole network is minimum.Han Guangjie et al.
In article " Impacts of traveling paths on energy provisioning for industrial
It is same based on wireless aware Identification platform in wireless rechargeable sensor networks ", compare by
Four kinds of mobile beacon covering curve SCAN, HILBERT, Z-CURVE and S-CURVES are used as charging property during charger mobile route
Can difference, and replace curve to obtain S-CURVES (ad) after simplifying with straight line S-CURVES, simulation results show S-
CURVES (ad) is superior to other curves in every evaluation index.
As fully visible, although existing charging algorithm solves the problems, such as most of WRSNs energy supply well, count mostly
Calculate complexity high, be not suitable for large-scale WRSNs.And most of researchs do not consider the data routing mode of node to charging
The influence of algorithm design.A kind of proposition of the charging method of combination data route suitable for extensive WRSNs is extremely urgent.
The content of the invention
Goal of the invention:It is special the invention comprehensively utilizes wireless charger in order to solve the problems, such as WRSNs interior joint energy supplies
The interaction of property and method for routing, realizes the balancing energy of network to the full extent.
Technical scheme:The charging method that data are route is combined in a kind of WRSNs, is comprised the following steps:
(1) using the strong spreadability of equilateral triangle, multiple equilateral triangle units are splitted the network into, and set wireless
Apex of the dwell point position of charger in each equilateral triangle unit;
(2) according to data routing method in the charge characteristic planned network of wireless charger so that energy acceptance power is high
Node undertake more communication task;
(3) the network node energy-consumption difference brought according to data routing method designs charging algorithm so that energy consumption speed is fast
Node obtain more charging intervals.
The characteristics of network in described step (1) has wide deployment scope and severe deployed environment.
Wireless charger in described step (1) realizes wireless charging using magnetic coupling harmonic technology, and node receives work(
Rate PrWith the transmission power P of wireless chargersBetween meetWherein α and β are charge parameters, and d represents wireless
The distance between charger and node.
Charge characteristic in described step (2) is:The node nearer from dwell point position, energy acceptance power is higher.
Data routing method in described step (2) specifically includes following steps:
1) node that can be with base station direct communication, i.e., be less than node communication range R with base station distancecNode, select base
Stand as next-hop node, and the packet of collection is directly passed to base station;
2) node that can not be with base station direct communication, selects energy acceptance power in the neighbor node nearer than itself from base station
Highest transmits the packet of collection as next-hop node;
Described step 1) in base station be arranged on the center of network;
Network node energy-consumption difference in described step (3) is shown as:Node average energy consumption speed closer to base station
It is faster and energy consumption speed standard deviation is bigger;
Charging algorithm in described step (3) specifically includes following steps:
1) connect wireless charger dwell point, formed n hexagon path charged layer, wherein dwell point at intervals of
d0;
2) network total charging time T is set;
3) the average energy consumption speed according to each hexagon path charged layer interior nodes is each Layer assignment charging interval so that each
The time T that layer is resident every timelnWith node layer average energy consumption speed γlnIt is directly proportional, i.e.,
N1Tl1+N2Tl2+...+NnTln=T
Wherein n represents charged layer number, NnRepresent the dwell point number of n-th layer;
4) internal layer will can be divided into the charged layer of base station direct communication, then internal layer is included altogetherIndividual charged layer, due to interior
The energy consumption speed difference of node layer is big, so taking the method for traveling through charging one by one to all nodes of internal layer so that each node
Charging interval TsmWith node energy consumption speed γsmIt is directly proportional, and keeps internal layer total charging time constant, i.e.,
Wherein m represents underlay nodes number.
Brief description of the drawings
Fig. 1 is the workflow diagram of the inventive method;
Fig. 2 is the charge path schematic diagram of the inventive method.
Embodiment
With reference to specific embodiment, the present invention is furture elucidated, it should be understood that these embodiments are merely to illustrate the present invention
Rather than limitation the scope of the present invention, after the present invention has been read, various equivalences of the those skilled in the art to the present invention
The modification of form falls within the application appended claims limited range.
Fig. 1 is a kind of workflow diagram for the charging method being route in WRSNs with reference to data;
As shown in figure 1, the workflow that the charging method that data are route is combined in a kind of WRSNs is:
(1) using the strong spreadability of equilateral triangle, multiple equilateral triangle units are splitted the network into, and set wireless
Apex of the dwell point position of charger in each equilateral triangle unit;
(2) according to data routing method in the charge characteristic planned network of wireless charger so that energy acceptance power is high
Node undertake more communication task:
1) node that can be with base station direct communication, i.e., be less than node communication range R with base station distancecNode, select base
Stand as next-hop node, and the packet of collection is directly passed to base station;
2) node that can not be with base station direct communication, selects energy acceptance power in the neighbor node nearer than itself from base station
Highest transmits the packet of collection as next-hop node;
(3) the network node energy-consumption difference brought according to data routing method designs charging algorithm so that energy consumption speed is fast
Node obtain more charging intervals:
1) connect wireless charger dwell point, formed n hexagon path charged layer, wherein dwell point at intervals of
d0;
2) network total charging time T is set;
3) the average energy consumption speed according to each hexagon path charged layer interior nodes is each Layer assignment charging interval so that each
The time T that layer is resident every timelnWith node layer average energy consumption speed γlnIt is directly proportional, i.e.,
N1Tl1+N2Tl2+...+NnTln=T
Wherein n represents charged layer number, NnRepresent the dwell point number of n-th layer;
4) internal layer will can be divided into the charged layer of base station direct communication, then internal layer is included altogetherIndividual charged layer, due to interior
The energy consumption speed difference of node layer is big, so taking the method for traveling through charging one by one to all nodes of internal layer so that each node
Charging interval TsmWith node energy consumption speed γsmIt is directly proportional, and keeps internal layer total charging time constant, i.e.,
Wherein m represents underlay nodes number;
Fig. 2 is a kind of charge path schematic diagram for the charging method being route in WRSNs with reference to data;
When there are three charged layers in network, and internal layer, when including a charged layer, charge path is as shown in Figure 2.In figure,
Black arrow represents the mobile route of charger.Charger takes the mode traveled through one by one to fill the node close to base station
Electricity, and to being charged away from base station, the node that energy consumption is small and energy consumption difference is small using hexagon path.Due to a wide range of
In WRSNs, in the same charged layer away from base station, node and base station it is closely located, energy consumption speed is also close, so setting same
Each residence time is identical in one layer, and the complexity that charging interval distribution is calculated is reduced to a certain extent, and for close
The charged layer of base station, because node energy consumption difference is big, takes the method for traveling through charging one by one effectively to weaken base station each node
The problem of neighbouring node energy inequality.The way of this layering charging, not only ensure that the balancing energy of the node close to base station,
It also ensure that the complexity that the distribution of network charging interval is calculated is smaller.
Claims (7)
1. the charging method that data are route is combined in a kind of WRSNs, it is characterised in that comprise the following steps:
(1) using the strong spreadability of equilateral triangle, split the network into multiple equilateral triangle units, and wireless charging is set
Apex of the dwell point position of device in each equilateral triangle unit;
(2) according to data routing method in the charge characteristic planned network of wireless charger so that the high section of energy acceptance power
Point undertakes more communication task;
(3) the network node energy-consumption difference brought according to data routing method designs charging algorithm so that the section of energy consumption speed soon
Point obtains more charging intervals.
2. the charging method that data are route is combined in a kind of WRSNs according to claim 1, it is characterised in that described
Wireless charger in step (1) realizes wireless charging, node receiving power P using magnetic coupling harmonic technologyrWith wireless charging
The transmission power P of devicesBetween meetWherein α and β are charge parameters, d represent wireless charger and node it
Between distance.
3. the charging method that data are route is combined in a kind of WRSNs according to claim 1, it is characterised in that described
Charge characteristic in step (2) is:The node nearer from dwell point position, energy acceptance power is higher.
4. the charging method that data are route is combined in a kind of WRSNs according to claim 1, it is characterised in that described
Data routing method in step (2) specifically includes following steps:
1) node that can be with base station direct communication, i.e., be less than node communication range R with base station distancecNode, select base station conduct
Next-hop node, and the packet of collection is directly passed to base station;
2) node that can not be with base station direct communication, selects energy acceptance power highest in the neighbor node nearer than itself from base station
As next-hop node, and transmit the packet of collection.
5. the charging method that data are route is combined in a kind of WRSNs according to claim 4, it is characterised in that described step
It is rapid 1) in base station be arranged on the center of network.
6. the charging method that data are route is combined in a kind of WRSNs according to claim 1, it is characterised in that described step
Suddenly the network node energy-consumption difference in (3) is shown as:Node average energy consumption speed closer to base station is faster and energy consumption speed mark
Quasi- difference is bigger.
7. the charging method that data are route is combined in a kind of WRSNs according to claim 1, it is characterised in that described step
Suddenly the charging algorithm in (3) specifically includes following steps:
1) connect wireless charger dwell point, formed n hexagon path charged layer, wherein dwell point at intervals of d0;
2) network total charging time T is set;
3) the average energy consumption speed according to each hexagon path charged layer interior nodes is each Layer assignment charging interval so that each layer is every
Secondary resident time TlnWith node layer average energy consumption speed γlnIt is directly proportional, i.e.,
Wherein n represents charged layer number, NnRepresent the dwell point number of n-th layer;
4) internal layer will can be divided into the charged layer of base station direct communication, then internal layer is included altogetherIndividual charged layer, due to internal layer section
The energy consumption speed difference of point is big, so all nodes of internal layer are taken with the method for traveling through charging one by one so that each node fills
Electric time TsmWith node energy consumption speed γsmIt is directly proportional, and keeps internal layer total charging time constant, i.e.,
Wherein m represents underlay nodes number.
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Cited By (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107612078A (en) * | 2017-09-29 | 2018-01-19 | 浙江工业大学 | A kind of RF energy capture network data collection and mobile energy source equalization charging method |
CN110059848A (en) * | 2019-03-06 | 2019-07-26 | 佛山市顺德区中山大学研究院 | WSN charging service website setting method and charging equipment driving path planing method |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104734372A (en) * | 2015-03-16 | 2015-06-24 | 河海大学常州校区 | Energy adaptive charging method combined with geographical location routing in WRSNs |
CN105451292A (en) * | 2015-11-09 | 2016-03-30 | 常州英集动力科技有限公司 | Grid structure-based hierarchical network charging method and system in WRSNs |
CN105896672A (en) * | 2016-05-31 | 2016-08-24 | 河海大学常州校区 | Charging method for mobile robot in wireless charging sensor network system |
CN105914830A (en) * | 2016-05-20 | 2016-08-31 | 河海大学 | Mobile path method for charger in WRSNs |
-
2017
- 2017-04-17 CN CN201710247559.8A patent/CN107172675A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104734372A (en) * | 2015-03-16 | 2015-06-24 | 河海大学常州校区 | Energy adaptive charging method combined with geographical location routing in WRSNs |
CN105451292A (en) * | 2015-11-09 | 2016-03-30 | 常州英集动力科技有限公司 | Grid structure-based hierarchical network charging method and system in WRSNs |
CN105914830A (en) * | 2016-05-20 | 2016-08-31 | 河海大学 | Mobile path method for charger in WRSNs |
CN105896672A (en) * | 2016-05-31 | 2016-08-24 | 河海大学常州校区 | Charging method for mobile robot in wireless charging sensor network system |
Non-Patent Citations (4)
Title |
---|
GUANGJIE HAN,ETC: "A grid-based joint routing and charging algorithm for industrial wireless rechargeable sensor networks", 《COMPUTER NETWORKS》 * |
SHIBO HE,ETC: "Energy Provisioning in Wireless Rechargeable Sensor Networks", 《IEEE TRANSACTIONS ON MOBILE COMPUTING》 * |
刘创等: "无线可充电传感器网络的移动充电问题研究", 《计算机技术与发展》 * |
韩江洪等: "无线传感器网络时变充电和动态数据路由算法研究", 《通信学报》 * |
Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN107612078A (en) * | 2017-09-29 | 2018-01-19 | 浙江工业大学 | A kind of RF energy capture network data collection and mobile energy source equalization charging method |
CN110059848A (en) * | 2019-03-06 | 2019-07-26 | 佛山市顺德区中山大学研究院 | WSN charging service website setting method and charging equipment driving path planing method |
CN110059848B (en) * | 2019-03-06 | 2021-06-08 | 佛山市顺德区中山大学研究院 | WSN charging service site setting method and charging equipment driving path planning method |
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