CN106779243A - A kind of phased-array radar cooperative detection system resource regulating method based on resource pool - Google Patents

A kind of phased-array radar cooperative detection system resource regulating method based on resource pool Download PDF

Info

Publication number
CN106779243A
CN106779243A CN201710001241.1A CN201710001241A CN106779243A CN 106779243 A CN106779243 A CN 106779243A CN 201710001241 A CN201710001241 A CN 201710001241A CN 106779243 A CN106779243 A CN 106779243A
Authority
CN
China
Prior art keywords
resource
detection system
resource pool
cooperative detection
phased
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.)
Pending
Application number
CN201710001241.1A
Other languages
Chinese (zh)
Inventor
王建
廖卫东
万铮
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
724th Research Institute of CSIC
Original Assignee
724th Research Institute of CSIC
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by 724th Research Institute of CSIC filed Critical 724th Research Institute of CSIC
Priority to CN201710001241.1A priority Critical patent/CN106779243A/en
Publication of CN106779243A publication Critical patent/CN106779243A/en
Pending legal-status Critical Current

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01S—RADIO DIRECTION-FINDING; RADIO NAVIGATION; DETERMINING DISTANCE OR VELOCITY BY USE OF RADIO WAVES; LOCATING OR PRESENCE-DETECTING BY USE OF THE REFLECTION OR RERADIATION OF RADIO WAVES; ANALOGOUS ARRANGEMENTS USING OTHER WAVES
    • G01S13/00—Systems using the reflection or reradiation of radio waves, e.g. radar systems; Analogous systems using reflection or reradiation of waves whose nature or wavelength is irrelevant or unspecified
    • G01S13/87—Combinations of radar systems, e.g. primary radar and secondary radar
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/12—Computing arrangements based on biological models using genetic models
    • G06N3/126—Evolutionary algorithms, e.g. genetic algorithms or genetic programming
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management

Landscapes

  • Engineering & Computer Science (AREA)
  • Business, Economics & Management (AREA)
  • Physics & Mathematics (AREA)
  • Human Resources & Organizations (AREA)
  • Strategic Management (AREA)
  • Theoretical Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Economics (AREA)
  • Biophysics (AREA)
  • Remote Sensing (AREA)
  • Radar, Positioning & Navigation (AREA)
  • Health & Medical Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Entrepreneurship & Innovation (AREA)
  • Game Theory and Decision Science (AREA)
  • General Business, Economics & Management (AREA)
  • Evolutionary Biology (AREA)
  • Development Economics (AREA)
  • Tourism & Hospitality (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Marketing (AREA)
  • Operations Research (AREA)
  • Quality & Reliability (AREA)
  • Mathematical Physics (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Computing Systems (AREA)
  • Molecular Biology (AREA)
  • Educational Administration (AREA)
  • General Health & Medical Sciences (AREA)
  • Evolutionary Computation (AREA)
  • Data Mining & Analysis (AREA)
  • Computational Linguistics (AREA)
  • Biomedical Technology (AREA)
  • Artificial Intelligence (AREA)
  • Genetics & Genomics (AREA)
  • Physiology (AREA)
  • Radar Systems Or Details Thereof (AREA)

Abstract

The present invention provides a kind of phased-array radar cooperative detection system resource regulating method based on resource pool.In multifunction array radar cooperative system, system resource for target acquisition, collaboration networking and information transfer is that unification is scheduled and distribution, the resource overhead of guarantee radar detection function should be considered, the system resource required for cooperateing with detecting function system is also considered.Each node physical resource of cooperative detection system is carried out virtualization description by the present invention, and encapsulation forms cooperative detection system resource pool, breaks the barrier of physical node resource, realizes the unified management and control of cooperative detection system resource.Using using for reference living nature natural selection and the randomization of genetic mechanism search genetic algorithm, as optimization object function, the total amount of various resources carries out optimizing as constraints to the total detection income with task with resource pool, realizes the optimal allocation to system resource.

Description

A kind of phased-array radar cooperative detection system resource regulating method based on resource pool
Technical field
The invention belongs to radar-probing system technical field.It is mainly used in the resource of multi-functional phased array cooperative detection system Scheduling and management and control.
Background technology
The center of war stage is progressively climbed up with information-based combat mode, the form of information Perception system also there occurs weight Big change.The core detection system obtained as battle field information is equipped, the more complicated ring of multifunction array radar systems face Border and the challenge of more fresh targets：Detection mission is more various, and detection environment is more complicated；Detected object is more polynary, target Detectivity requirement is higher.Due to resource constraints such as single portion's radar system time, covering spatial domain, energy, frequencies, in addition by each Plant natural environment noise jamming and the influence of ECM environment, it is difficult to independently undertake these complicated combat duty demands.Hair Exhibition radar cooperative detection system technology has become detectivity, the information-based bar of satisfaction for improving radar under Complex Battlefield Environments The effective way of confrontation between systems operational need under part.In the multifunction array radar equipment preparation of New System, integrated collaboration Detection management and control and information sharing system, by for target acquisition, collaboration networking and information transfer system resource carry out across System, cross-platform United Dispatching and distribution, realize many base collaboration detections, can be obviously improved radar system comprehensive survey ability. In radar collaboration detection managing and control system, meeting system resource global restriction and ensureing that coordinated groups network control system is shared with information transfer Under ability condition, should consider to ensure the realization of radar detection function, also to consider to cooperate with the money of management and control and information exchange function Source demand, thus collaboration managing and control system must use certain Optimized Operation strategy, multi-section radar system resource is carried out it is real-time from Adapt to integrated dispatch and distribute rationally.
The content of the invention
The present invention provides a kind of phased-array radar cooperative detection system resource regulating method based on resource pool.For phased Battle array radar cooperative detection system, proposes a kind of radar cooperative detection system resource management and control strategy based on resource pool, by setting up System resource pond, realizes the self-organizing management of the multi-platform radar system probe node such as fleet and the unification of system resource Scheduling；And optimal resource scheduling scheme is chosen by genetic algorithm, while radar data reduction is lifted, improve system money The comprehensive utilization efficiency in source.
The present invention builds comprehensive resources pond, by resource by carrying out virtualization abstraction to cooperative detection system physical resource Break collaboration each node physical resource wall of acquisition radar system as a kind of transparent mapped of whole collaboration detection radar resource in pond Build, to realize that the shared of each probe node resource, fast synergistic detect the unified management and control optimized and to fleet system resource.It is based on The cooperative detection system resource management and control strategy of resource pool, optimal resource scheduling scheme is chosen with genetic algorithm, while meeting System detects maximum revenue and resource utilization ratio highest complex optimum target.Detected using the collaboration based on resource pool System resource Optimized Operation strategy, to optimization radar cooperative detection system resource management and control, lifting general operation effectiveness is provided to be had The technical support of effect.
The present invention is described in further detail below in conjunction with the accompanying drawings.
Brief description of the drawings
The structure model of Fig. 1 radar cooperative detection system resource pools.
Fig. 2 is based on the multi-platform radar cooperative detection system resource dispatching model of resource pool.
Fig. 3 is based on the cooperative detection system priority scheduling of resource flow of genetic algorithm.
Specific embodiment
Accompanying drawing provides implementation method specific implementation step of the invention, describes in detail as follows.
(1) structure of resource pool.
Radar cooperative detection system resource virtualizing refers to time, frequency, energy, the information processing to cooperative detection system By virtualization operations such as abstract, the serviceization descriptions of functionalization, transparent mapped is the process of logical resource to the physical resources such as passage. By the way that resource virtualizing will be cooperateed with, it is possible to achieve to the seamless link and centralized management of each collaboration probe node heterogeneous resource.
Each probe node sorts of systems resource is by after abstract formation virtual resources, sending into resource pool, to dynamic change Node resource carry out that visualization is integrated to be managed with dynamic, realize dispatching party from task-node-resource to task-resource These resources can be carried out United Dispatching by the transformation of formula according to task resource demand, so as to realize to geographical position dispersion, category Unified discovery is carried out in the resource of different nodes, accessed, collect, dispatched and monitoring management.
The physical system resources of each node are the bases that resource pool builds, and are also the physical form that resource is present.Resource pool , it is necessary to read the physical resource of each node during initialization, and the modification information of resource is dynamically obtained from Surveillance center.Obtain each It is by system, it is necessary to be analyzed in radar physical resource aspect to each node resource, collected, classified after the resource of node Resource impact carries out corresponding preparation to next layer.Main physical resource includes：Time, energy, pulsewidth, repetition, antenna side To figure etc..
From for cooperative detection system task resource demand angle, station-keeping radar cooperative detection system not only needs to consider thunder Up to the resource overhead of detection mission, the operational need of cotasking is also considered, in addition it is also necessary to which certain resource is managed to maintain to cooperate with The network-in-dialing and information transmitting of control system.The detection mission of radar system mainly includes：Search, tracking, target refer to Show, weapon guidance, fire control, target identification etc.；Radar cooperates with networking and information sharing task mainly including space-time synchronous and network Maintenance, information transfer, Collaborative Control etc..Simultaneously based on mission requirements, according to tactical level and the index of technological layer, come Carry out the formalized description of cooperative detection system resource.Realize based on task resource demand, come to money with technique and tactics index Source is packaged into pond, is completed physical resource and is changed to the resource form of Logic application resource, breaks the barrier of node resource, will Specific physical resource transparence is mapped to the virtual resources of mission requirements scheduling of resource, realizes to cooperative detection system resource Normalization United Dispatching.
Meanwhile, virtualization system resource pool as whole collaboration acquisition radar system physical resource a kind of mapping, it with The synchronized update of actual physical resources is particularly important, and one side virtual resources pond needs regularly to carry out self-examination renewal；Separately On the one hand, resource pool needs to carry out the maintenance renewal such as the deletion of resource, increase according to the life cycle of resource itself.When appearance is saved Point increase or decrease, shift in position, resource consumption situations such as, it is also desirable to resource pool is detected and is updated in time, complete newly Resource deployment.
(2) resource dispatching strategy based on resource pool.
The detection resource of each node is summarized in cooperative detection system resource pool, each resource is according to unified in resource pool Interface, exists in the form of service.When cooperative detection system receives task execution command, resource pool management center is to task Demand is analyzed, and according to the composition situation of all kinds of virtual resources in resource pool, generates corresponding Resource Allocation Formula.
The specific implementation step of the radar cooperative detection system resource dispatching strategy based on resource pool is as follows：
Step1：Traversal set of tasks, carries out task resource demand analysis；
Step2：By task resource adapter, corresponding task resource distribution request side is generated in virtualization pool Case；
Step3：According to task resource allocation request scheme, the execution income of each task is calculated；
Step4：It is constraints to each with the total amount of each resource using total execution income of each task as object function Business resource allocation request scheme carries out comprehensive assessment, and by genetic algorithm, chooses the comprehensive best resource scheduling to each task Scheme；
Step5：According to optimal resource scheduling scheme, Radar operation modes selection and system parameter setting are carried out；
Step6：Resource pool is updated, terminates scheduling.
(3) object function and constraints of cooperative detection system resource dispatching strategy optimization.
1. object function
The final goal of many radar cooperative detection system scheduling of resource is under the conditions of limited resources, to obtain many radar collaborations The maximum collaboration detection income of detection system, the system resource optimizing scheduling object function for building accordingly is as follows：
Wherein, ρiRepresent i-th priority of task, E (Ci) it is to dispatch the income that i-th task is obtained.
2. constraints
If resource collection is A, A={ A in resource pool1(q1),A2(q2)...An(qn), wherein, Ai(qi) represent i-th kind of money Source, total resources is qi, synchronization, resource AiMay be taken by multiple-task demand, i.e. multiple tasks application resource Ai, but The total amount of such resource is limited.
For AiFor resource, at a certain moment, there is y task application, resource request amount is respectively qi(v1),qi(v2), ...qi(vy), then resource AiFollowing constraints need to be met：
(4) genetic algorithm searching process.
Resource management and control based on resource pool, uses the detection income of task to be realized to resource most for optimization object function Good distribution, meanwhile, using in resource pool the total amount of various resources as find optimal solution constraints, using use for reference living nature from Genetic algorithm is searched in so selection and randomization of natural genetic mechanism, and iteration goes out while meeting system detection efficiency to maximize and be System resource utilization highest optimal solution.
Cooperative detection system priority scheduling of resource step based on genetic algorithm is as follows：
Step1：Multigroup tasks carrying scheme is generated at random, as initial population；
Step2：The total amount of each resource finds feasible solution as constraints in initial population using in resource pool；
Step3：According to the scheduling strategy optimization object function based on resource pool, excellent individuality is selected to enter in feasible solution Row heredity；
Step4：Set according to genetic algorithm, recombinated, made a variation, form filial generation；
Step5：Whether meet hereditary end condition, be, turn step7；It is no, continue；
Step6：Filial generation is reinserted as new initial population, returns to Step2；
Step7：Selection meets constraints and makes the maximum individuality of object function as optimal solution, is formed according to optimal solution Optimal scheduling scheme, and carry out interpretation of result；
Step8：Algorithm terminates.

Claims (3)

1. a kind of phased-array radar cooperative detection system resource regulating method based on resource pool, it is characterised in that：For many work( Energy phased-array radar cooperative detection system, using the resource dispatching strategy based on resource pool, passes through by by each node resource of system Formalization, functionalization description, virtualization encapsulation feeding resource pool are crossed, and introduces genetic algorithm, choose optimal scheduling of resource side Case.
2. the phased-array radar cooperative detection system resource regulating method based on resource pool according to claim 1, it is special Levy and be：The resource dispatching strategy based on resource pool：By building cooperative detection system resource pool, by cooperative detection system Each node resource is come together in resource pool, and each resource exists according to unified interface in the form of service in resource pool, breaks The physical boundaries of each node, realize cooperative detection system resource United Dispatching.
3. the phased-array radar cooperative detection system resource based on resource pool according to claim 1 or claim 2 is adjusted Degree method, it is characterised in that：The resource dispatching strategy based on resource pool：It is optimization aim by using task to detect income Function, the total amount of various resources searches for genetic algorithm as the constraints for finding optimal solution using randomization using in resource pool, Breeding, intersection and the gene mutation phenomenon occurred in simulation natural selection and natural genetic process, selection preferably individuality are carried out Heredity, iteration to go out realize providing system with resource utilization ratio highest optimal solution while meeting system detection efficiency and maximizing The optimal allocation in source.
CN201710001241.1A 2017-01-03 2017-01-03 A kind of phased-array radar cooperative detection system resource regulating method based on resource pool Pending CN106779243A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710001241.1A CN106779243A (en) 2017-01-03 2017-01-03 A kind of phased-array radar cooperative detection system resource regulating method based on resource pool

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710001241.1A CN106779243A (en) 2017-01-03 2017-01-03 A kind of phased-array radar cooperative detection system resource regulating method based on resource pool

Publications (1)

Publication Number Publication Date
CN106779243A true CN106779243A (en) 2017-05-31

Family

ID=58952168

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710001241.1A Pending CN106779243A (en) 2017-01-03 2017-01-03 A kind of phased-array radar cooperative detection system resource regulating method based on resource pool

Country Status (1)

Country Link
CN (1) CN106779243A (en)

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108734343A (en) * 2018-05-02 2018-11-02 电子科技大学 A kind of phased array beam dwell schedule method based on scheduling benefits and genetic algorithm
CN110488275A (en) * 2019-09-23 2019-11-22 北京机械设备研究所 A kind of collaborative detection method based on isomery detection resource
CN112700172A (en) * 2021-01-18 2021-04-23 中国船舶重工集团公司第七二四研究所 Flexible design method for broadband passive phased array resource scheduling framework
CN113917401A (en) * 2021-09-30 2022-01-11 中国船舶重工集团公司第七二四研究所 Reconstruction-based multifunctional microwave over-the-horizon radar system resource allocation method
CN114095356A (en) * 2021-11-16 2022-02-25 北京中科晶上科技股份有限公司 Real-time configuration method and device for node task strategy
CN114488131A (en) * 2022-01-27 2022-05-13 中国人民解放军空军预警学院雷达士官学校 Radar formation cooperative detection method of multitask ordered traction strategy
CN114862102A (en) * 2022-03-23 2022-08-05 南京雷电信息技术有限公司 Multi-machine cooperative phased array radar task scheduling method for maximizing benefit
CN114912246A (en) * 2022-03-23 2022-08-16 南京雷电信息技术有限公司 Task scheduling method for phased array networking radar

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102323972A (en) * 2011-05-31 2012-01-18 电子科技大学 Method for managing phased array radar resource
US20130204983A1 (en) * 2012-02-06 2013-08-08 International Business Machines Corporation Enhancing initial resource allocation management to provide robust reconfiguration
CN105527625A (en) * 2015-12-24 2016-04-27 珠海纳睿达科技有限公司 Mixed mode meteorological sounding system and method based on multifunctional phased array radar

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102323972A (en) * 2011-05-31 2012-01-18 电子科技大学 Method for managing phased array radar resource
US20130204983A1 (en) * 2012-02-06 2013-08-08 International Business Machines Corporation Enhancing initial resource allocation management to provide robust reconfiguration
CN105527625A (en) * 2015-12-24 2016-04-27 珠海纳睿达科技有限公司 Mixed mode meteorological sounding system and method based on multifunctional phased array radar

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
顾珠彬等: "基于遗传算法的云计算资源管理", 《福建电脑》 *

Cited By (13)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108734343A (en) * 2018-05-02 2018-11-02 电子科技大学 A kind of phased array beam dwell schedule method based on scheduling benefits and genetic algorithm
CN108734343B (en) * 2018-05-02 2022-03-15 电子科技大学 Phased array beam resident scheduling method based on scheduling profit and genetic algorithm
CN110488275B (en) * 2019-09-23 2021-06-15 北京机械设备研究所 Cooperative detection method based on heterogeneous detection resources
CN110488275A (en) * 2019-09-23 2019-11-22 北京机械设备研究所 A kind of collaborative detection method based on isomery detection resource
CN112700172A (en) * 2021-01-18 2021-04-23 中国船舶重工集团公司第七二四研究所 Flexible design method for broadband passive phased array resource scheduling framework
CN113917401A (en) * 2021-09-30 2022-01-11 中国船舶重工集团公司第七二四研究所 Reconstruction-based multifunctional microwave over-the-horizon radar system resource allocation method
CN114095356A (en) * 2021-11-16 2022-02-25 北京中科晶上科技股份有限公司 Real-time configuration method and device for node task strategy
CN114095356B (en) * 2021-11-16 2024-04-19 北京中科晶上科技股份有限公司 Method and device for configuring node task strategy in real time
CN114488131A (en) * 2022-01-27 2022-05-13 中国人民解放军空军预警学院雷达士官学校 Radar formation cooperative detection method of multitask ordered traction strategy
CN114488131B (en) * 2022-01-27 2023-08-04 中国人民解放军空军预警学院雷达士官学校 Cooperative detection method for radar formation of multi-task ordered traction strategy
CN114862102A (en) * 2022-03-23 2022-08-05 南京雷电信息技术有限公司 Multi-machine cooperative phased array radar task scheduling method for maximizing benefit
CN114912246A (en) * 2022-03-23 2022-08-16 南京雷电信息技术有限公司 Task scheduling method for phased array networking radar
CN114912246B (en) * 2022-03-23 2023-02-28 南京雷电信息技术有限公司 Task scheduling method for phased array networking radar

Similar Documents

Publication Publication Date Title
CN106779243A (en) A kind of phased-array radar cooperative detection system resource regulating method based on resource pool
Khalaf et al. Optimization of wireless sensor network coverage using the Bee Algorithm.
CN112016812B (en) Multi-unmanned aerial vehicle task scheduling method, system and storage medium
Cao et al. A novel coverage optimization strategy for heterogeneous wireless sensor networks based on connectivity and reliability
CN105634593B (en) A kind of indoor visible light communication LED array layout optimization method based on genetic algorithm
CN105302153A (en) Heterogeneous multi-UAV (Unmanned Aerial Vehicle) cooperative scouting and striking task planning method
CN105892480A (en) Self-organizing method for cooperative scouting and hitting task of heterogeneous multi-unmanned-aerial-vehicle system
CN109917811A (en) Unmanned aerial vehicle cluster cooperative obstacle avoidance-reconstruction processing method
CN109978404A (en) Power transmission channel expansion planning method considering uncertainty factors and scene reduction
CN109905881A (en) A kind of method and system determining base station selection scheme based on artificial bee colony algorithm
CN101893441A (en) Unmanned aerial vehicle flight path optimization method based on deviation maximization and grey correlation analysis
CN106651277A (en) Regional logistics information-based network transmission system and data analysis method
Balamurugan et al. Hybrid stochastic ranking and opposite differential evolution-based enhanced firefly optimization algorithm for extending network lifetime through efficient clustering in WSNs
CN103002590A (en) Scheduling method of directed nodes in wireless sensor network
Zhou et al. Digital manufacturing and urban conservation based on the Internet of Things and 5 G technology in the context of economic growth
Xu et al. Task allocation for unmanned aerial vehicles in mobile crowdsensing
CN109885082A (en) The method that a kind of lower unmanned aerial vehicle flight path of task based access control driving is planned
Feng et al. Optimal RFID networks planning using a hybrid evolutionary algorithm and swarm intelligence with multi-community population structure
Pei et al. UAV swarm for connectivity enhancement of multiple isolated sensor networks for Internet of things application
Yunjie Wireless sensor monitoring system of Canadian Poplar Forests based on Internet of Things
Xiong et al. Wireless resources cooperation of assembled small UAVs for data collections of IoT
Subramanian et al. A complete continuous target coverage model for emerging applications of wireless sensor network using termite flies optimization algorithm
CN109117571A (en) A kind of interconnection cooperative motion autocontrol method for unmanned plane cluster
Wang et al. Multi-sensor area deployment optimization method based on improved cuckoo search algorithm
Mohammad et al. Software Complex for Modelling Routing in Heterogeneous Model of Wireless Sensor Network

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
RJ01 Rejection of invention patent application after publication

Application publication date: 20170531

RJ01 Rejection of invention patent application after publication