Ling Xing

TL;DR: In this article, the authors proposed a multi-UAV-aided data collection scenario where the UAV can fly close to the backscatter sensor node (BSN) to activate it and then collect the data.

TL;DR: A frequent pattern mining-based cross-social network user identification algorithm that analyzes user-generated data in a personalized manner is proposed that improves the precision rate and recall rate compared to the empirical weight allocation method.

TL;DR: This article proposes a new opportunistic routing protocol based on trajectory prediction, named EORB-TP, which can increase the delivery rate by approximately 40% at best and can reduce the delay by approximately 80%.

TL;DR: This letter proposes a location privacy protection method based on double ${k}$ -anonymity that hides user locations and request information and introduces the cloud server as a trusted third party to isolate the direct communication between users and the service provider.

TL;DR: This paper investigates cooperative EH-CRNs where an SU close to the SBS harvests the energy and helps in relaying the data of a distant SU and seeks a joint optimization framework to distribute power among users at theSBS, power allocation for cooperative transmission, the time slot optimization for transmission of each user, and the power splitting (PS) ratio optimization for energy harvesting and information decoding.