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This letter explores sensing coverage in integrated sensing and communication (ISAC) networks, which are gaining traction in 6G due to enhanced sensing capabilities. We address the optimization of sensing performance as an unconstrained binary quadratic programming problem, taking into account the mutual interference among base stations. Optimization solutions are then developed for homogeneous and heterogeneous networks. By leveraging numerical results, we ascertain the sensing coverage for a given network topology, guiding the decision of whether to employ cooperative sensing and which base stations should be involved in sensing specific areas. Additionally, the results demonstrate the near optimality of collaborations involving only a few base stations.