As　a　narrowband　communication　technology,　long-range　(LoRa)　contributes　to　the　long　development　of　Internet　of　Things　(IoT)　applications.　The　LoRa　gateway　plays　an　important　role　in　the　IoT　transport　layer,　and　security　and　efficiency　are　the　key　issues　of　the　current　research.　In　the　centralized　working　model　of　IoT　systems　built　by　traditional　LoRa　gateways,　all　the　data　generated　and　reported　by　end　devices　are　processed　and　stored　in　cloud　servers,　which　are　susceptible　to　security　issues　such　as　data　loss　and　data　falsification.　Edge　computing　(EC),　as　an　innovative　approach　that　brings　data　processing　and　storage　closer　to　the　endpoints,　can　create　a　decentralized　security　infrastructure　for　LoRa　gateway　systems,　resulting　in　an　EC-assisted　IoT　working　model.　Although　this　paradigm　delivers　unique　features　and　an　improved　quality　of　service　(QoS),　installing　IoT　applications　at　LoRa　gateways　with　limited　computing　and　memory　capabilities　presents　considerable　obstacles.　This　article　proposes　the　design　and　implementation　of　an　＇EC-assisted　LoRa　gateway＇　using　edge　computing.　Our　proposed　latency-aware　algorithm　(LAA)　can　greatly　improve　the　reliability　of　the　network　system　by　using　a　distributed　edge　computing　network　technology　that　can　achieve　maintenance　operations,　such　as　detection,　repair,　and　replacement　of　failures　of　edge　nodes　in　the　network.　Then,　an　EC-assisted　LoRa　gateway　prototype　was　developed　on　an　embedded　hardware　system.　Finally,　experiments　were　conducted　to　evaluate　the　performance　of　the　proposed　EC-assisted　LoRa　gateway.　Compared　with　the　conventional　LoRa　gateway,　the　proposed　edge　intelligent　LoRa　gateway　had　41.1%　lower　bandwidth　utilization　and　handled　more　end　devices,　ensuring　system　availability　and　IoT　network　reliability　more　effectively.　©　2023　by　the　authors.