With　the　development　of　Internet　of　Things　(IoT),　real-time　decision　making　has　gradually　become　one　of　the　important　characteristics　in　mobile　edge　computing　(MEC)　environment　of　IoT.　Therefore,　in　the　Integrated　Circuit　(IC)　design　of　MEC　environment　for　IoT,　low　delay　is　one　of　the　important　optimization　objectives.　In　the　many　routing　competitions,　wirelength,　overflow,　and　runtime　are　the　main　evaluation　standards,　so　how　to　reduce　wirelength,　overflow,　and　runtime　has　become　a　major　challenge.　However,　the　existing　work　lacks　the　excellent　optimization　ability　in　wirelength,　overflow,　and　runtime,　or　only　considers　some　of　the　optimization　objectives.　Therefore,　we　consider　the　wirelength,　overflow,　and　runtime　as　the　optimization　objectives　and　propose　a　high-quality　global　routing　algorithm　of　IC　design　in　MEC　environment,　including　the　following　effective　strategies:　(1)　A　hybrid　topology　optimization　strategy　combining　Prim　algorithm　and　divide-and-conquer　method,　(2)　a　heuristic　search　algorithm　considering　the　congestion　and　the　wirelength　of　nets.　Due　to　the　use　of　the　Fast　Lookup　Table　(FLUTE)　algorithm　to　construct　the　topology　of　each　net,　there　are　too　many　Steiner　points.　For　this　reason,　we　used　Prim　algorithm　and　divide-and-conquer　method　to　construct　the　topology,　and　thus　it　can　avoid　the　problem　of　redundant　Steiner　points.　In　addition,　we　propose　a　congestion　area　identification　method　based　on　interval　division　to　determine　the　area　and　order　of　nets　to　rip-up　and　reroute　(R&R).　Furthermore,　a　heuristic　search　algorithm　that　considers　both　the　congestion　and　the　wirelength　of　nets　is　used　to　optimize　the　total　wirelength　in　the　R&R　stage.　In　terms　of　the　total　overflow,　the　total　wirelength　and　the　runtime,　the　experimental　results　show　that　the　proposed　strategies　have　achieved　effective　optimization,　which　can　better　satisfy　the　demand　of　low　delay　of　IC　design　for　data　processing　in　MEC　environments　of　IoT.　©　2021,　The　Author(s),　under　exclusive　licence　to　Springer　Science+Business　Media,　LLC,　part　of　Springer　Nature.