In　recent　years,　wireless　sensors　have　progressively　supplanted　conventional　limited　sensors　owing　to　their　attributes　of　small　size,　low　cost,　and　high　accuracy.　Consequently,　there　has　been　a　growing　interest　in　leveraging　wireless　sensor　networks　for　bridge　structural　health　monitoring　applications.　By　employing　wireless　sensor　nodes　to　gather　data　from　various　segments　of　the　bridge,　information　is　relayed　to　a　signal-receiving　base　station.　Subsequently,　the　health　status　of　the　bridge　is　inferred　through　specific　data　processing　and　analysis,　aiding　monitoring　personnel　in　making　informed　decisions.　Nonetheless,　there　are　limitations　in　this　research,　particularly　pertaining　to　power　consumption　and　efficiency　issues　in　data　acquisition　and　transmission,　as　well　as　in　determining　the　appropriate　wireless　sensor　types　and　deployment　locations　for　different　bridge　configurations.　This　study　aims　to　comprehensively　examine　research　on　the　utilization　of　wireless　sensor　networks　in　the　realm　of　bridge　structural　health　monitoring.　Employing　a　systematic　evaluation　methodology,　more　than　one　hundred　relevant　papers　were　assessed,　leading　to　the　identification　of　prevalent　sensing　techniques,　data　methodologies,　and　modal　evaluation　protocols　in　current　use　within　the　field.　The　findings　indicate　a　heightened　focus　among　contemporary　scholars　on　challenges　arising　during　the　data　acquisition　and　transmission　processes,　along　with　the　development　of　optimal　deployment　strategies　for　wireless　sensor　networks.　In　continuing,　the　corresponding　technical　challenges　are　provided　to　address　these　concerns.