Bloom filters for information retrieval in the context of IoT

In the context of IoT (Internet of Things), there are two critical issues: how to identify and address in an efficient way a huge number of devices connected on the Internet and how to get relevant sensorial information based on some descriptive tags or metadata associated to devices. This paper tries to show that in both cases Bloom filters may be used for fast identification and access to relevant sensorial information. The same Bloom filter-based approach can be used in wireless sensor networks in order to reduce the traffic and increase the lifetime of batteries.