What if your sensor nodes can\u2019t agree on the time? Having all wireless sensor nodes developed and ready for use is an important milestone toward conducting multimodal experiments \u2013 but it’s only the beginning. To ensure consistent data across all nodes, wireless sensor networks rely on precise fusion of measurements from different devices. This is where clock drift quickly becomes a critical factor \u2013 and where robust synchronization algorithms are essential.<\/p>\n\n\n\n
In this kickoff of our Synchronization Series<\/strong>, we start with a general overview of why synchronization matters and how clock drift affects distributed sensing. You’ll get a first look at the role of clock drift, plus the insights we gained while developing our highly synchronized wireless sensor network maphera\u00ae<\/sup><\/a>. <\/p>\n\n\n\n Think of this post as the foundation \u2013 and for all fellow engineers, don\u2019t worry: you will find algorithms, metrics, and plenty of shiny diagrams in the other posts of the series. We hope you’ll enjoy this series as much as we do.\u00a0<\/p>\n\n\n\n <\/p>\n\n\n\nClock Drift & Synchronization Series<\/h2>\n\n\n\r\n \t\t\r\n \r\n\t\t