With　the　increasing　demand　for　indoor　location-based　services　(LBS),　indoor　positioning　technology,　especially　the　received　signal　strength　(RSS)-based　positioning　technology,　has　attracted　extensive　attention.　In　the　process　of　localization,　the　difference　in　RSS　caused　by　heterogeneity　between　different　devices　cannot　be　ignored.　It　leads　to　the　degradation　of　positioning　accuracy.　A　comprehensive　overview　of　device　heterogeneity　management　methods　in　indoor　positioning　is　presented　in　this　chapter　to　deliver　a　superior　solution.　An　analysis　of　the　causes　of　device　heterogeneity　is　conducted　at　the　hardware　and　communication　layers.　The　existing　methods　to　deal　with　the　device　heterogeneity　are　summarized.　The　approaches　for　dealing　with　device　heterogeneity　are　divided　into　three　categories　based　on　the　development　of　technology.　The　methods　are　adjustment　approach　based　on　linear　transformation,　calibration-free　function　mapping　method,　and　non-absolute　fingerprint　method,　respectively.　The　principles　of　the　implementation　for　these　methods　are　presented　in　this　chapter.　Different　evaluation　metrics　are　utilized　to　participate　in　the　comparison　of　these　methods.　The　advantages　and　issues　are　summarized.　Also,　the　future　research　trends　are　proposed　at　the　end　of　this　chapter.　©　The　Editor(s)　(if　applicable)　and　The　Author(s),　under　exclusive　license　to　Springer　Nature　Switzerland　AG　2023.