JIANG Wejin, ZHOU Wei, WANG Haijuan, HAN Yuqing, CHEN Yilin, WU Yuting
The main factor in ensuring the smooth execution of tasks in mobile swarm-aware networks is the choice of participants, but most of the existing work relies on third-party service platforms to complete the sensing tasks, thus ignoring the importance of participant privacy. In order to achieve the best quality of the completion of the perceptual task, this paper studies the participant selection strategy SWPS in the perceptual link, mainly focusing on the distance between the participant and the perceptual task, the inference of missing data, the protection of the privacy of the participant's location and the task budget, and the recruitment cost is controlled within a certain range while maximizing the task completion quality under the premise of protecting user privacy. Firstly, the position of the participant is encrypted by the order-preserving encryption algorithm and Merkle tree to ensure the personal privacy of the participant. Secondly, through the method of sparse perception, a small number of participants are recruited to achieve cost control, and the calculation of participant reputation value and the distance between the participant and the perceived task area is introduced into the trust value to determine the choice of participants. Finally, the data collected by the task participants is obtained, and the missing data is inferred by using the method of compressed sensing for the sparsity data. Through simulation experiments and related work comparison, SWPS has good performance in participant selection and privacy protection, which can ensure data quality and data accuracy, and protect participant privacy and security.
