Monitoring water levels of lakes, streams, rivers and other water basins is of essential importance and is a popular measurement for a number of different industries and organisations. Remote water level monitoring helps to provide an early warning feature by sending advance alerts when the water level is increased (reaches a certain threshold). The purpose of this report is to present an affordable solution for measuring water levels in water sources using IoT and LPWAN. The assembled system enables recording of water level fluctuations in real time and storing the collected data on a remote database through LoRaWAN for further processing and analysis.
The report compares LPWAN (low-power, wide-area network) and MEC (Multi-access edge computing) topologies, examines opportunities to achieve lower latency in LPWAN networks by integrating their architecture with the MEC paradigm. LPWAN networks are highly suitable to be combined with a MEC architecture. The radio-access equipment place,e.g., base station, gateway, etc., is a main location to run delay-sensitive applications, processing/storage offloading tasks, or hosting those services that need in real-time information from the RAN (Radio Access Network). For that reason, this places in the network has been identified as ideal for installing the MEC equipment.The four-tier architecture of LPWAN and MEC are kept, so they perfectly match with each other.
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