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In the future sixth-generation wireless communications, wireless sensor networks (WSNs) are expected to support target sensing, information communication, and computational tasks concurrently over the same spectrum. Integrated sensing and communication (ISAC) and over-the-air computation (AirComp) arise as two promising techniques. In this paper, we design an integrated sensing, communication, and computing framework to improve spectrum efficiency and quality of service in WSNs. We investigate omnidirectional and directional beampattern designs to minimize AirComp error. Leveraging the derived directional patterns, we further consider trade-off beampatterns to balance sensing and AirComp performance under power constraints. A mismatch-based design is formulated to minimize AirComp errors. To solve these non-convex problems, we propose an alternating optimization approach using …