Social network-utilizing mobile gunz perception and excitation method

A mobile crowd sensing and social network technology, applied in the field of mobile crowd sensing incentives, can solve the problem of a small number of registered users, achieve the effect of preventing market monopoly and improving the completion rate

CN107944947AInactive Publication Date: 2018-04-20NANJING UNIV OF POSTS & TELECOMM
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
Publication Date
2018-04-20
Estimated Expiration
Not applicable · inactive patent

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Abstract

The invention discloses a mobile group intelligence sensing incentive method using a social network, which can be used for a mobile group intelligence sensing system with a shortage of registered users, especially a small number of active users. In this method, the system consists of three parts, task owner, social network and users. The task owner broadcasts the sensing task to his social neighbors through the social network, and the user submits a bid with a quotation to the task owner, and at the same time continues to broadcast the task on their social network to recruit more users to participate in group sensing. The task owner selects the winner from the users according to the user's quotation, and calculates the corresponding reward. For users who successfully recruit other users, this method calculates and pays the corresponding rewards to the recruiter. A mobile group intelligence sensing incentive method utilizing social networks proposed by the present invention satisfies individual rationality, profitability, computational effectiveness, authenticity and time sensitivity.
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Description

technical field

[0001] The invention belongs to the intersecting field of the Internet and algorithmic game theory, and in particular relates to a method for motivating mobile group intelligence sensing using a social network. Background technique

[0002] Mobile crowd sensing is an effective method for completing complex large-scale social sensing tasks through conscious and unconscious collaboration using mobile sensing devices of ordinary users through the mobile Internet.

[0003] But most of the crowd sensing models assume that there are already a large number of users in the mobile crowd sensing system. However, most of the existing crowd sensing systems have not many registered users, especially the number of active users only accounts for a very small proportion of the total number of users. Through research, we choose to use mobile social networks for group intelligence perception.

[0004] Because users need to consume device energy, computing power, storage spac...

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Embodiment Construction

[0041] Below in conjunction with accompanying drawing, technical scheme of the present invention is described in further detail:

[0042] A mobile crowd sensing incentive method using social networks described in the present invention is embodied as a reverse auction process between the task owner and the user, and the process is as follows figure 1 As shown, the steps are as follows:

[0043] Step 201: The task owner broadcasts m perception tasks to his social neighbors through the social network per perception task For the task owner, there is a corresponding value v j , and its corresponding reserve price d j , d j is the highest price that the task owner is willing to pay for task j;

[0044] Step 202: Set user set as U={1,2,...,n}, user i submits bid in is a triplet, l i denotes the recruiter who recruited user i, t i Denotes the task that user i wants to perceive, Denotes user i's response to task t i quotation;

[0045] Step 203: The task owner calculates...