移动群智网中基于人群搜索优化和协作竞争的用户激励机制

针对移动群智网的用户激励和保护问题,基于人群搜索优化和协作竞争研究了一种用户激励机制。在该机制中,根据时域、空域和频域对感知区域内的移动节点给出定位信息定义,并对发送信号和接收信号进行人群搜索优化,同时根据特征值进行协作竞争,最后通过调整特征值、协作竞争和退出来实现用户激励和保护。实验结果证明, 与基于静态路径的信道优先分配和无协作竞争最优功率分配的用户激励机制相比,所提出的用户激励机制在系统能量使用率、传输时延和系统负载上具有明显优势。

User Incentive Mechanism Based on Crowd Search Optimization and Cooperative Competition for Mobile Crowd Sensing Networks

According to the issue of user incentive and protection of mobile node,a kind of user incentive mechanism was studied based on crowd search optimization and cooperative competition.In the mechanism,according to the time domain,space domain and frequency domain,a definition of position information was given for mobile node in the sen-sing area,and the transmitted signal and the received signal were conducted population search optimization.At the same time,cooperation and competition were done according to the characteristic values.Finally,user incentives and protection were achieved through adjusting the feature value,competition and cooperation and exiting.Experimental results prove that the proposed user incentive mechanism has obvious advantages in system energy usage rate,transmission delay and the load of system compared with the incentive mechanism based on priority assignment of static path channel and optimal power allocation without cooperative competition.