Scalable group communication for efficient knowledge sharing in cloud-enabled robots

Abstract

Recently, researchers have been exploring the idea of robots that rely on cloud-computing infrastructure to take advantage of processing power and access vast amounts of data. However, the details in knowledge sharing of cloud-enabled robots are not well addressed by previous researches. In this chapter, a collaboration framework is presented which is mainly design for knowledge sharing of cloudenabled robots via Internet. The framework allows cloud-enabled robots to form logical groups based on attributes and then passes information within the group. To provide a scalable and fast way of disseminating messages, a Scalable Adaptive Group Communication (SAGC) messaging scheme is proposed which is done in two steps. First, logical grouping is performed using fuzzy system to employ scalable groupings, and then, the logical group links are adjusted by a node link weight function based on Brownian agent to direct the queries to cloud robots with relevant information. Performance evaluation showed that the method is more accurate to answer queries and faster to response on queries compared to other group communication methods.