Broadcast Scheduling for Intelligent Service Robots

Broadcasting can be used to send data to multiple intelligent service robots from a server in a wireless mobile environment. If data requests from robots change dynamically, previous broadcast scheduling methods become inefficient since they schedule based only on the static frequency of data requests. Moreover, they could make a high-priority robot wait long for infrequently requested data because they schedule frequent data first without considering user priorities. In this paper, we propose a new broadcast scheduling method that reflects dynamic changes of users' requests based on user profiles. It also considers users' priorities to reduce the data access time of high-priority users. Simulation is performed to compare the performance of our approach with that of two previous approaches using user's access patterns. The result on the experiments shows that our approach outperforms others.