Edge　storage　is　becoming　an　increasingly　appealing　alternative　for　data　owners　(DOs),　offering　benefits　like　decreased　latency　and　minimized　bandwidth　usage　compared　to　traditional　cloud　storage　solutions.　Nonetheless,　stored　data　within　edge　servers　(ESs)　remains　vulnerable　to　disruptions.　Existing　data　integrity　auditing　schemes　face　challenges　such　as　the　costs　of　third-party　auditors　(TPA),　unreliable　and　delayed　audit　results,　and　effective　management　of　data　inspection　concerning　time　and　energy　consumption.　To　tackle　these　challenges,　we　introduce　DIVO,　a　decentralized　data　inspection　approach.　DIVO　leverages　ESs　as　each　others＇　auditors,　removing　the　necessity　for　a　centralized　party,　thereby　mitigating　collision　risks　and　potential　biases　in　audit　results.　We　propose　a　game-theoretic　technique　to　efficiently　manage　data　inspection　and　verification　offloading　to　ESs.　By　formulating　the　decision-making　issue　as　a　strategic　game　for　optimally　allocating　verification　tasks　among　multiple　ESs,　we　establish　the　presence　of　Nash　equilibrium　and　design　a　strategy　to　attain　it.　Through　comprehensive　security　and　performance　evaluations,　DIVO　has　been　shown　to　operate　securely　within　the　random　oracle　model　while　delivering　notable　efficiency　improvements　over　recent　methods.　Our　analysis　highlights　that　DIVO　surpasses　a　wide　range　of　recent　approaches　in　both　communication　and　computation　efficiency.