Semantic maps for IoT network reorganization in face of sensor malfunctioning

As technology evolves, the Internet of Things (IoT) is gaining more importance for constituting a foundation to reach better connectivity between people and things. For this to happen, certain strategies and processes are considered to enhance and grant optimal interoperability between the heterogenous devices of a typical IoT network. Two major key aspects of these networks are autonomous error recovery and network reorganization, which are usually based on physical redundancy and aim to return the network to a similar working state, as it was before the error. This process is of great importance when regarding the amount of data and devices that the ever-growing IoT networks have to manage and the number of situations that are associated with this aspect. This work proposes a solution to integrate the previously mentioned processes in IoT networks with the support of semantic maps as a mean to accomplish redundancy. It uses network metadata and a function-oriented recovery methodology to provide the network the tools to be more autonomous and reliable, without compromising performance.