Mobile Edge Computing based Mixed Reality Application for the Assistance of Blind and Visually Impaired People

Mixed Reality (MR) applications are becoming very popular in different sectors such as communication, education and entertainment for its extensive application areas and also for the wide adoption of mobile and especially wearable devices. Due to weak computational efficiency and short battery life of these devices, MR applications performance can be hampered. Offloading the burden of MR application to the cloud server can be a solution to this problem but this approach also creates high communication latency. Mobile Edge Computing (MEC) is an emerging technology which brings cloud close to the user proximity at the base station and utilizes radio access network for maintaining communication with the users. This paper presents a MEC based MR application for assisting blind and visually impaired people. In the proposed scheme, the computational task is offloaded to the nearest MEC server in order to prolong the battery life of the MR devices. Finally, experimental results based on latency and energy consumption are discussed in order to demonstrate the feasibility of the proposed scheme.