Crowd　sensing　is　one　of　the　core　features　of　internet　of　vehicles,　the　use　of　internet　of　vehicles　for　crowd　sensing　is　conducive　to　the　rational　allocation　of　sensing　tasks.　This　paper　mainly　studies　the　problem　of　task　allocation　for　crowd　sensing　in　internet　of　vehicles,　proposes　a　trajectory-based　task　allocation　scheme　for　crowd　sensing　in　internet　of　vehicles.　With　limited　budget　constraints,　participants＇　trajectory　is　taken　as　an　indicator　of　the　spatiotemporal　availability.　Based　on　the　solution　idea　of　the　minimal-cover　problem,　select　the　minimum　number　of　participating　vehicles　to　achieve　the　coverage　of　the　target　area.