Facing　the　issues　about　the　vulnerable　transmission　links　or　the　limited　transmission　coverage　caused　by　the　deployment　of　Internet　of　things　(IoT)　devices　in　remote　areas,　unmanned　aerial　vehicle　(UAV)　and　mobile　edge　computing　(MEC)　technology　in　this　scenario　was　introduced　to　deal　with　the　problems　effectively　such　as　the　limitation　of　energy　supply,　the　shortage　of　computing　capacity,　as　well　as　improvement　of　communication　coverage　and　reduction　of　unnecessary　network　overhead.　In　addition,　the　introduction　of　blockchain　technology　ensured　the　security　and　reliability　in　the　process　of　data　interaction,　and　accomplished　data　sharing.　Therefore,　a　resource　allocation　decision　method　based　on　MEC　and　blockchain　was　proposed　for　UAV-assisted　IoT　system.　To　achieve　the　optimal　trade-off　between　the　performance　of　MEC　system　and　blockchain　system,　a　problem　model　was　formulated　by　considering　the　allocation　of　spectrum　resource　and　computing　resource,　then　a　distributed　optimization　method　was　adopted　based　on　alternating　direction　method　of　multipliers　(ADMM)　to　solve　the　problem.　The　simulation　results　demonstrate　that　the　proposed　optimization　scheme　can　reduce　the　total　energy　consumption　of　MEC　system　and　the　computation　latency　of　blockchain　system　effectively.　Meanwhile,　the　proposed　scheme　has　better　convergence　performance　and　the　stability　of　the　system　can　be　well　guaranteed.　©　2022,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.