CN103546583A - Group intellectual perception system and group intellectual perception method - Google Patents

Group intellectual perception system and group intellectual perception method Download PDF

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CN103546583A
CN103546583A CN201310561116.8A CN201310561116A CN103546583A CN 103546583 A CN103546583 A CN 103546583A CN 201310561116 A CN201310561116 A CN 201310561116A CN 103546583 A CN103546583 A CN 103546583A
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task
perception
tasks carrying
time slot
perception task
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CN103546583B (en
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冯珍妮
朱燕民
朱弘恣
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Shanghai Jiaotong University
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Abstract

The invention provides a group intellectual perception system and a group intellectual perception method, and particularly relates to an online and dynamic group intellectual perception system and method. Random coming of each perception task and dynamic coming and dynamic leaving of a smart phone user are dynamically perceived through a time slot, namely, new-coming perception tasks and task execution devices are distinguished through the time slot, the online requirement of group intellectual perception for the task execution devices is reduced, and therefore the task execution devices are excited to participate in the group intellectual perception system. Furthermore, according to the perception task executed by each task execution device and the quotation of the time slot where the corresponding perception task is located, the return of each task execution device is computed, and the computation complexity is reduced.

Description

Gunz sensory perceptual system and gunz cognitive method
Technical field
The present invention relates to data perception technical field, relate in particular to a kind of gunz sensory perceptual system and gunz cognitive method.
Background technology
Along with popularizing of smart mobile phone, gunz perception becomes very promising research direction and the application model of rising in recent years.Smart mobile phone has replaced rapidly the mobile phone of traditional function singleness with the characteristic of its distinctive function infinite expanding.Except carrying the general-purpose operating system, make function can expand, present smart mobile phone is also integrated various transducers, thus provide diversified service for smart phone user.The transducer of inheriting on smart mobile phone comprises global positioning system (GPS), accelerometer, thermometer, electronic compass, gyroscope etc., they make smart mobile phone is no longer single communication equipment, can also provide the daily service such as navigation, so the function of mobile phone there is revolutionary variation.Along with the fast development of smart mobile phone technology and the continuous reduction of price, smart mobile phone has become popular necessity from initial luxury goods, and the shipment amount of smart mobile phone is constantly soaring.A large amount of smart mobile phones that are dispersed in diverse geographic location provide very important opportunity, the generation of Here it is gunz sensory perceptual system.With traditional be that the special wireless sensor network of disposing of a certain object is different, gunz sensory perceptual system has greatly reduced the cost of on-premise network, is also not limited to a certain single application.On the other hand, because the transducer most of time on smart mobile phone is idle, gunz sensory perceptual system can effectively utilize these slack resources to produce social benefit.
Yet forming an effective gunz sensory perceptual system still has many stubborn problems to need to solve.Problem the most basic is exactly how to encourage smart phone user to participate in gunz sensory perceptual system.Because belonging to individual subscriber, owns smart mobile phone, and participate in, in gunz sensory perceptual system, carry out to consume the resource of self, therefore such as CPU time, electric weight etc., only self-regard smart phone user is unwilling to participate in the aware services that gunz sensory perceptual system comes and contribute oneself.Conventionally, in order to encourage smart phone user to participate in, often need to the return (money reward) certain with them.
The concept of introducing auction in more existing gunz sensory perceptual systems is portrayed the transaction between gunz sensory perceptual system and smart phone user, and the task of system is distributed and method for returning.Conventionally in gunz sensory perceptual system, have a just platform, it informs smart phone user by perception task, and receives the result that they carry out perception task.But existing auction system supposition system is conventionally static, that is to say, when system initialization, all perception tasks and smart phone user be Already among system, and can be present among system always.And in fact, on the one hand, perception task is that the publisher by task produced and submits in some particular moment, might not just exist at system initial time.On the other hand, smart phone user also not necessarily can, for the service of gunz sensory perceptual system, because smart mobile phone may be used to other purposes, thereby cannot provide aware services always.
Therefore, need to a kind ofly can, in conjunction with the dynamic characteristic of perception task and smart mobile phone arrival, prevent new gunz sensory perceptual system and the gunz cognitive method of the generation of deceptive practices, to avoid above-mentioned defect.
Summary of the invention
The object of the present invention is to provide a kind of gunz sensory perceptual system and gunz cognitive method, can, in conjunction with the dynamic characteristic of perception task and the arrival of tasks carrying equipment, prevent the generation of deceptive practices.
For addressing the above problem, the present invention proposes a kind of gunz cognitive method, comprises the following steps:
Continuous time slot is set, by time slot order, starts to carry out gunz perception;
In each time slot, accept the new perception task arriving and the tasks carrying equipment of indicating the feature that comprises online period and desired value, and reject the tasks carrying equipment that has reached the departure time;
In each time slot, according to the feature of the feature of each perception task and existing each tasks carrying equipment, from existing tasks carrying equipment, select most suitable at least one tasks carrying equipment to complete each perception task in this time slot.
Further, described perception task is pretreated perception task, and the feature of described perception task comprises: task definition, task amount and task are handed over the phase; The desired value of described tasks carrying equipment is the quotation of this task device to each perception task.
Further, the feature of described perception task also comprises each task piece and task definition, task amount and the task friendship phase of actuating equipment specification requirement and division; The feature of described tasks carrying equipment comprises the quotation of tasks carrying specification of equipment and each task piece.
Further, in each time slot, according to perception task arrival time order and function order, distribute successively each perception task, to each perception task, divide timing, according to its task definition, task amount and task are handed over online period and the quotation to this perception task of phase and existing each tasks carrying equipment, from existing tasks carrying equipment, select online period and most suitable at least one task device of quotation to complete this perception task, described method also comprises: the quotation in the perception task of carrying out according to each tasks carrying equipment and the time slot at this perception task place in office thereof, calculate the return of each tasks carrying equipment.
Further, the time span of described time slot is equal, and each perception task can complete in this time span.
Further, perception task feature, tasks carrying apparatus characteristic and task action result in regular period are carried out to statistical analysis, according to the structure of statistical analysis, carry out time slot division, the time span of described time slot is incomplete same, and the time slot of perception task with same characteristic features is equal in length.
The present invention also provides a kind of gunz sensory perceptual system, comprise: task requests end, service end and tasks carrying end, described request end comprises at least one requesting service, for sending perception task to described server end and receiving from server end the execution result that tasks carrying end returns; Described server end receives described perception task, to described tasks carrying end allocating task and receive the execution result that tasks carrying end returns; Described tasks carrying end comprises a plurality of member devices, for carrying out described server end, distributes task of coming, wherein,
Described service end comprises continuous time slot, receiver module and distribution module; Described receiver module is accepted the new perception task arriving and is indicated the tasks carrying equipment of the feature that comprises online period and desired value in each time slot, and rejects the tasks carrying equipment that has reached the departure time; Described distribution module is in each time slot, according to the feature of the feature of each perception task and existing each tasks carrying equipment, from existing tasks carrying equipment, select most suitable at least one task device to complete each perception task in this time slot, and collect the execution result of each tasks carrying equipment.
Further, described perception task is pretreated perception task, and the feature of described perception task comprises: task definition, task amount and task are handed over the phase; The desired value of described tasks carrying equipment is the quotation of this task device to each perception task; The feature of described perception task also comprises each task piece and task definition, task amount and the task friendship phase of actuating equipment specification requirement and division; The feature of described tasks carrying equipment comprises the quotation of tasks carrying specification of equipment and each task piece.
Further, described distribution module distributes successively each perception task according to perception task arrival time order and function order in each time slot, to each perception task, divide timing, according to its task definition, task amount and task, hand over online period and the quotation to this perception task of phase and existing each tasks carrying equipment, from existing tasks carrying equipment, select online period and most suitable at least one task device of quotation to complete this perception task; Quotation in the perception task that described distribution module is also carried out according to each tasks carrying equipment and the time slot at this perception task place in office thereof, calculates the return of each tasks carrying equipment.
Further, the time span of all time slots is equal or not exclusively equal, and each perception task can complete in the time span of corresponding time slot.
Compared with prior art, gunz sensory perceptual system of the present invention and gunz cognitive method, a kind of online dynamic gunz sensory perceptual system and gunz cognitive method, by time slot, come the random arrival of each perception task of dynamic sensing and the dynamic arrival of smart phone user and dynamically leave, by time slot, the perception task and the tasks carrying equipment that newly arrive are distinguished, reduced the online requirement of gunz perception to tasks carrying equipment, thereby excitation tasks carrying equipment participates in described gunz sensory perceptual system.Further, the quotation in the perception task of carrying out according to each tasks carrying equipment and the time slot at this perception task place in office thereof, calculates the return of each tasks carrying equipment, has reduced computation complexity.
Accompanying drawing explanation
Fig. 1 is the flow chart of gunz cognitive method of the present invention;
Fig. 2 is the Organization Chart of gunz sensory perceptual system of the present invention;
Fig. 3 is the Organization Chart of the gunz sensory perceptual system of the specific embodiment of the invention;
Fig. 4 is the task allocation flow figure in the gunz perception of the specific embodiment of the invention;
Fig. 5 is the return allocation flow figure in the gunz perception of the specific embodiment of the invention.
Embodiment
Core concept of the present invention is to disclose a kind of gunz sensory perceptual system and gunz cognitive method, to distribute and method for returning because the concept of auction is portrayed the task of gunz sensory perceptual system equally, technical scheme of the present invention is considered the dynamic characteristic that the tasks carrying equipment such as perception task and smart mobile phone arrive, designed a kind of online auction system, time is divided into suitable time slot, the feature of tasks carrying equipment (as bidding documents) the inside is except comprising the desired values such as quotation, also comprise the time started of service (arrival time) and end time (time departure) can be provided, perception task and tasks carrying equipment in groove arrival are sometime denoted as known in the zero hour of this time slot, thereby perception task will be assigned to the current tasks carrying equipment being present in gunz sensory perceptual system, and all perception tasks can complete it by certain preliminary treatment in a time slot, at each time slot, all in the current tasks carrying equipment that is present in system, carry out greedy selection, until arrive the finish time.One of them same time of tasks carrying equipment can only be carried out a perception task of this system distribution, can prevent static perception thus and causes the generation of deceptive practices, the justice that the return of raising task is calculated and accurately.
Thus, please refer to Fig. 1, the invention provides a kind of gunz cognitive method, comprise the following steps:
Continuous time slot is set, by time slot order, starts to carry out gunz perception;
In each time slot, accept the new perception task arriving and the tasks carrying equipment of indicating the feature that comprises online period and desired value, and reject the tasks carrying equipment that has reached the departure time;
In each time slot, according to the feature of the feature of each perception task and existing each tasks carrying equipment, from existing tasks carrying equipment, select most suitable at least one tasks carrying equipment to complete each perception task in this time slot.
Please refer to Fig. 2, the present invention also provides a kind of gunz sensory perceptual system, comprise: task requests end, service end and tasks carrying end, described request end comprises at least one requesting service, for sending perception task to described server end and receiving from server end the execution result that tasks carrying end returns; Described server end receives described perception task, to described tasks carrying end allocating task and receive the execution result that tasks carrying end returns; Described tasks carrying end comprises a plurality of member devices, for carrying out described server end, distributes task of coming, wherein,
Described service end comprises continuous time slot, receiver module and distribution module; Described receiver module is accepted the new perception task arriving and is indicated the tasks carrying equipment of the feature that comprises online period and desired value in each time slot, and rejects the tasks carrying equipment that has reached the departure time; Described distribution module is in each time slot, according to the feature of the feature of each perception task and existing each tasks carrying equipment, from existing tasks carrying equipment, select most suitable at least one task device to complete each perception task in this time slot, and collect the execution result of each tasks carrying equipment.
For object of the present invention, feature are become apparent, below in conjunction with accompanying drawing, the specific embodiment of the present invention is further described, yet the present invention can realize by different forms, should not think and just be confined to described embodiment.
The smart mobile phone of take is below example as tasks carrying equipment, describes gunz sensory perceptual system level method of the present invention in detail.
Please refer to Fig. 3, in the gunz sensory perceptual system of the present embodiment, task requests end sends perception task to service end (high in the clouds platform), the receiver module of service end is pressed time slot and is received perception task and the smart mobile phone arriving, can count thus the perception task number existing in each time slot, smart mobile phone number is with the online period of each smart mobile phone, as curve (a), (b), (c) shown in, thereby can so that the distribution module of service end according to the perception task characteristic in each time slot, smart mobile phone characteristic is selected most suitable smart mobile phone for each perception task and is completed this perception task, the concrete step of selecting please refer to Fig. 4.
Please refer to Fig. 4, the concept of introducing set in this enforcement is set forth the task allocation step of gunz sensory perceptual system, the smart phone user collection of current existence is defined as N, the perception task collection of current existence is defined as T, the smart mobile phone that the execution being selected changes the perception task in time slot integrates as W, specifically comprises:
(1) system initialization, time slot counting is set to 0, and the smart mobile phone collection N of current existence is set to empty set, and the perception task collection T of current existence is set to empty set, and the smart mobile phone collection W being selected is set to empty set, enters first time slot;
(2) accept the new perception task arriving and and indicate the tasks carrying equipment of the feature that comprises online period (arriving constantly to the time of departure time) and quotation, upgrade the perception task collection T of current existence, add the smart mobile phone of new arrival to N, reject the smart mobile phone that has reached the departure time in N;
(3) in pair set N, smart mobile phone, according to the sequence of order from low to high of quotation, selects t minimum smart mobile phone of quotation to complete the concentrated task of current perception task from set N, and wherein t represents the element number in the perception task collection T of current existence;
(4) upgrade the smart phone user collection W being selected, front t the user who is about to elect joins in W, and temporarily gets rid of from set N;
(5) enter next time slot, carry out (2) to (4), until last time slot completes;
In said process, each smart mobile phone can only be carried out a task at one time, will from N, get rid of, when this smart mobile phone completes after this task, in the N that when task that is automatically updated to completes, back to back time slot is corresponding after being selected.
If each perception task is pretreated, for example a large perception task is divided, be divided into a plurality of task pieces, these task pieces can be regarded the perception task that simultaneously arrives a time slot as, system is that each task piece selects to support value minimum smart mobile phone according to said process, for example a perception task is divided into K task piece, the smart mobile phone that system exists in this time slot according to said process so, select quotation minimum front K to carry out this K task piece, a perception task just can be completed by the K in the time slot at his place the minimum smart mobile phone of quotation.
In the present embodiment, task return for selected each smart mobile phone out in W, a kind of simple clearing form is the price calculation according to this smart mobile phone, system, as long as quotation when this smart mobile phone of calculating has completed altogether how many perception tasks and completed each perception task is how many, just can count the return of this each perception task of smart mobile phone and the Total Return in a period of time like this.Another kind of knot mode is to calculate according to the critical quotation of smart mobile phone.For certain the smart mobile phone i in W, when the selected W of entering, W has a critical quotation (for example the quotation of K smart mobile phone or the quotation of K+1 smart mobile phone after N sequence is exactly critical quotation), if the quotation of this smart mobile phone i, lower than this critical quotation, will be selected in W; If its quotation is higher than this critical quotation, he will be replaced by K+1 smart mobile phone and can not become a member in W.Please refer to Fig. 5, the critical quotation step of certain selected smart mobile phone i of system looks is as follows:
(1) setting the smart mobile phone will calculate return is smart mobile phone i; During beginning, according to the step described in Fig. 4, carry out task distribution, until arrive the arrival moment of smart mobile phone i, make the value Q=0 of the critical quotation of smart mobile phone i;
(2) perception task of current arrival is total t, the smart mobile phone existing before in N is according to quotation sequence from low to high, while distributing this t task, need the quotation (highest quotation) of t of judgement and the quotation of the new smart mobile phone i arriving, if this highest quotation is greater than the quotation of smart mobile phone i, upgrading Q is this highest quotation, and smart mobile phone i can replace t user and add W; If not, continue to wait for new task and new distribution;
(3) repeat (2) until reach the departure time of smart mobile phone i;
(4) reward of paying smart mobile phone i is the Q sum of carrying out each perception task.
As can be seen here, the invention has the advantages that:
1, the method for selection smart mobile phone of the present invention and the calculating labor of compensating is all polynomial time, thereby the method computation complexity of this invention is low.
2, the present invention's design is online auction system, goes for the scene that the random arrival of perception task and smart mobile phone dynamically arrive and leave.
3, the present invention pays the reward of each smart phone user by rational calculating, can prevent the deceptive practices of smart phone user, and smart phone user can honest be reported his arrival time, time departure and for the quotation of perception task.
4,, when a perception task completes, system has certain psychological value expection for completing of it; Meanwhile, complete this perception task, a smart phone user need to be paid corresponding cost.Therefore, the completing an of task, is exactly the difference of these two values for the benefit of system.Theory analysis can prove, the online auction system in the present invention can guarantee to have made the benefit sum of all perception tasks to be no less than half of optimal policy of off-line.
5, the present invention is applicable to the gunz sensory perceptual system that any one considers perception task and tasks carrying equipment dynamic characteristic, the results show by emulation experiment reliability of the present invention and superiority.
Obviously, those skilled in the art can carry out various changes and modification and not depart from the spirit and scope of the present invention invention.Like this, if within of the present invention these are revised and modification belongs to the scope of the claims in the present invention and equivalent technologies thereof, the present invention is also intended to comprise these changes and modification interior.

Claims (10)

1. a gunz cognitive method, is characterized in that, comprises the following steps:
Continuous time slot is set, by time slot order, starts to carry out gunz perception;
In each time slot, accept the new perception task arriving and the tasks carrying equipment of indicating the feature that comprises online period and desired value, and reject the tasks carrying equipment that has reached the departure time;
In each time slot, according to the feature of the feature of each perception task and existing each tasks carrying equipment, from existing tasks carrying equipment, select most suitable at least one tasks carrying equipment to complete each perception task in this time slot.
2. gunz cognitive method as claimed in claim 1, is characterized in that, described perception task is pretreated perception task, and the feature of described perception task comprises: task definition, task amount and task are handed over the phase; The desired value of described tasks carrying equipment is the quotation of this task device to each perception task.
3. gunz cognitive method as claimed in claim 2, is characterized in that, the feature of described perception task also comprises each task piece and task definition, task amount and the task friendship phase of actuating equipment specification requirement and division; The feature of described tasks carrying equipment comprises the quotation of tasks carrying specification of equipment and each task piece.
4. gunz cognitive method as claimed in claim 2, it is characterized in that, in each time slot, according to perception task arrival time order and function order, distribute successively each perception task, to each perception task, divide timing, according to its task definition, task amount and task are handed over online period and the quotation to this perception task of phase and existing each tasks carrying equipment, from existing tasks carrying equipment, select online period and most suitable at least one task device of quotation to complete this perception task, described method also comprises: the quotation in the perception task of carrying out according to each tasks carrying equipment and the time slot at this perception task place in office thereof, calculate the return of each tasks carrying equipment.
5. the gunz cognitive method as described in any one in claim 1 to 4, is characterized in that, the time span of described time slot is equal, and each perception task can complete in this time span.
6. the gunz cognitive method as described in any one in claim 1 to 4, it is characterized in that, perception task feature, tasks carrying apparatus characteristic and task action result in regular period are carried out to statistical analysis, according to the structure of statistical analysis, carry out time slot division, the time span of described time slot is incomplete same, and the time slot of perception task with same characteristic features is equal in length.
7. a gunz sensory perceptual system, comprise: task requests end, service end and tasks carrying end, described request end comprises at least one requesting service, for sending perception task to described server end and receiving from server end the execution result that tasks carrying end returns; Described server end receives described perception task, to described tasks carrying end allocating task and receive the execution result that tasks carrying end returns; Described tasks carrying end comprises a plurality of member devices, for carrying out described server end, distributes task of coming, it is characterized in that,
Described service end comprises continuous time slot, receiver module and distribution module; Described receiver module is accepted the new perception task arriving and is indicated the tasks carrying equipment of the feature that comprises online period and desired value in each time slot, and rejects the tasks carrying equipment that has reached the departure time; Described distribution module is in each time slot, according to the feature of the feature of each perception task and existing each tasks carrying equipment, from existing tasks carrying equipment, select most suitable at least one task device to complete each perception task in this time slot, and collect the execution result of each tasks carrying equipment.
8. gunz sensory perceptual system as claimed in claim 7, is characterized in that, described perception task is pretreated perception task, and the feature of described perception task comprises: task definition, task amount and task are handed over the phase; The desired value of described tasks carrying equipment is the quotation of this task device to each perception task; The feature of described perception task also comprises each task piece and task definition, task amount and the task friendship phase of actuating equipment specification requirement and division; The feature of described tasks carrying equipment comprises the quotation of tasks carrying specification of equipment and each task piece.
9. gunz sensory perceptual system as claimed in claim 8, it is characterized in that, described distribution module distributes successively each perception task according to perception task arrival time order and function order in each time slot, to each perception task, divide timing, according to its task definition, task amount and task, hand over online period and the quotation to this perception task of phase and existing each tasks carrying equipment, from existing tasks carrying equipment, select online period and most suitable at least one task device of quotation to complete this perception task; Quotation in the perception task that described distribution module is also carried out according to each tasks carrying equipment and the time slot at this perception task place in office thereof, calculates the return of each tasks carrying equipment.
10. the gunz sensory perceptual system as described in any one in claim 7 to 9, is characterized in that, the time span of all time slots is equal or not exclusively equal, and each perception task can complete in the time span of corresponding time slot.
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Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104657133A (en) * 2015-01-28 2015-05-27 南京邮电大学 Single time window task excitation method for mobile crowd-sourcing perception
CN105069682A (en) * 2015-08-13 2015-11-18 南京邮电大学 Method for realizing mass sensitivity-based incentive mechanisms in mobile crowdsourcing systems
CN105183543A (en) * 2015-08-28 2015-12-23 中国科学技术大学苏州研究院 Crowd-sourcing calculation online task allocation method based on mobile social network
CN105245345A (en) * 2015-09-28 2016-01-13 浙江工商大学 High reliability perception data collection algorithm based on mobile perception user anonymity reputation in crowd sensing
CN106161508A (en) * 2015-03-30 2016-11-23 赵蕴龙 A kind of dynamic price motivational techniques participating in information quality in sensory perceptual system
CN106507437A (en) * 2016-11-08 2017-03-15 北京小米移动软件有限公司 Smart machine networking method and device
CN107749836A (en) * 2017-09-15 2018-03-02 江苏大学 User oriented secret protection and the mobility aware system and its mobile awareness method of data reliability
CN108683743A (en) * 2018-05-21 2018-10-19 陕西师范大学 A kind of method for allocating tasks by multiple mobile terminal gathered datas
CN110992121A (en) * 2019-10-22 2020-04-10 西安电子科技大学 Perception task information distribution system and method based on perception error in crowd sensing

Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090172139A1 (en) * 2007-12-26 2009-07-02 Kai Chiu Wong Balanced consistent hashing for distributed resource management
CN101950300A (en) * 2010-09-20 2011-01-19 华南理工大学 Hierarchical structure, distributed search engine system and implementation method thereof
CN103310349A (en) * 2013-06-14 2013-09-18 清华大学 On-line incentive mechanism based perceptual data acquisition method

Patent Citations (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20090172139A1 (en) * 2007-12-26 2009-07-02 Kai Chiu Wong Balanced consistent hashing for distributed resource management
CN101950300A (en) * 2010-09-20 2011-01-19 华南理工大学 Hierarchical structure, distributed search engine system and implementation method thereof
CN103310349A (en) * 2013-06-14 2013-09-18 清华大学 On-line incentive mechanism based perceptual data acquisition method

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN104657133A (en) * 2015-01-28 2015-05-27 南京邮电大学 Single time window task excitation method for mobile crowd-sourcing perception
CN104657133B (en) * 2015-01-28 2018-08-24 南京邮电大学 A kind of motivational techniques for single-time-window task in mobile intelligent perception
CN106161508A (en) * 2015-03-30 2016-11-23 赵蕴龙 A kind of dynamic price motivational techniques participating in information quality in sensory perceptual system
CN105069682A (en) * 2015-08-13 2015-11-18 南京邮电大学 Method for realizing mass sensitivity-based incentive mechanisms in mobile crowdsourcing systems
CN105183543A (en) * 2015-08-28 2015-12-23 中国科学技术大学苏州研究院 Crowd-sourcing calculation online task allocation method based on mobile social network
CN105183543B (en) * 2015-08-28 2018-07-10 中国科学技术大学苏州研究院 A kind of gunz based on mobile social networking calculates online method for allocating tasks
CN105245345A (en) * 2015-09-28 2016-01-13 浙江工商大学 High reliability perception data collection algorithm based on mobile perception user anonymity reputation in crowd sensing
CN106507437B (en) * 2016-11-08 2019-12-27 北京小米移动软件有限公司 Intelligent equipment networking method and device
CN106507437A (en) * 2016-11-08 2017-03-15 北京小米移动软件有限公司 Smart machine networking method and device
CN107749836A (en) * 2017-09-15 2018-03-02 江苏大学 User oriented secret protection and the mobility aware system and its mobile awareness method of data reliability
CN108683743B (en) * 2018-05-21 2019-06-04 陕西师范大学 A kind of method for allocating tasks acquiring data by multiple mobile terminals
CN108683743A (en) * 2018-05-21 2018-10-19 陕西师范大学 A kind of method for allocating tasks by multiple mobile terminal gathered datas
CN110992121A (en) * 2019-10-22 2020-04-10 西安电子科技大学 Perception task information distribution system and method based on perception error in crowd sensing
CN110992121B (en) * 2019-10-22 2024-03-22 西安电子科技大学 Perception task information distribution system and method based on perception error in crowd sensing

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