Mobile Computing and Networking Architectures for the Internet of Vehicles

This thesis starts by considering the problem of data dissemination, investigating several network schemes. Besides, to ensure the consistency of the data collected, a distributed consensus sensing application is designed. Then, a mobile Edge computing system is modeled. This paradigm provides computational capabilities at the edge of the network and is able to fulfill the requirements of the Internet of Mobile Things. The model is used to derive the minimum number of processors to be allocated to obtain a given requests dropping probability. Finally, mobile Edge computing and Cloud computing systems are compared. Two analytical models are developed and validated, considering the total service time as a key metric. The comparison gives some insight on how these systems should be designed to handle a given load.