Dynamic monitoring frequency for energy-efficient data collection in Internet of Things

• DOI: 10.1016/j.jocs.2022.101842
• Publication Date: 2022-09-16T04:15:40Z
• Authors: Jelena Čulić Gamb...; Toni Mastelić; Ivana Nižetić Kos...; Mario Čagalj
• Keywords: Baseline (sea); Value (mathematics)

With growth of Internet Things, number connected sensors increases as well, along with data being collected by those sensors. Most are battery powered and commonly collect in short equally spaced time periods resulting large amount redundant often irrelevant data. In this paper, we propose a dynamic monitoring frequency (DMF) algorithm that aims at collecting only when sensor readings change more than predefined value between consecutive readings. Thus, is turned on monitored phenomenon exceeds threshold. Two algorithms analyzed, namely statistical machine learning. DMF shows notable performance, either up to ∼70% less missed readings, or it collects ∼40% compared the baseline static frequency.