We investigate the internal mechanism of live streaming information dissemination by constructing a model. The simulation results indicate that rewards have direct effect on the information dissemination in low-reputation environment, and the effect declines with the network reputation increases. Furthermore, increasing interaction in a high-reputation environment can facilitate the dissemination of live streaming information.

A systematic review on the realization of NDN-based VANET, specifically for NDN-based routing (not forwarding), caching and security issues, was performed for the period of 2010-2021. The study concluded that caching has been the more investigated topic. There are, however, some gaps still to be tackled. For instance, a means to further reduce the broadcast storm problem in routing may include leveraging all overhead packets for location-aware, and leverage caching for better routing decision.

Unmanned aerial vehicles (UAVs) have a wide range of applications including security surveillance, military operational capabilities, and content and package delivery. Small-sized wirelessly controlled flying robots complete tasks with and without direct human intervention. UAVs still face serious challenges including path planning and obstacle avoidance that are unavoidable while performing the application-specific functionalities both in indoor and outdoor environments. In this manuscript with a survey, we investigate the state-of-the-art UAV path planning algorithms and obstacle avoidance techniques.

In this article, four different ML algorithms are compared in terms of the accuracy for RF energy modelling using the energy data for efficient operation of energy harvesting communication systems. The results show that, linear regression(LR) has the highest accuracy and the most stable performance, while decision tree is the worst model. Also, in terms of the operation efficiency of the system, LR has the best performance, followed by support vector machine and random forest algorithm.