This paper studies an efficient periodic and aperiodic task decomposition technique for real-time sensor networking platforms from two perspectives. First, wireless sensor networking platforms available in literature have not addressed the concept of real-time scheduling for hybrid task sets where both types of periodic and aperiodic tasks exist. Second, individual system components in real-time sensor networking platforms must be assigned to either a periodic or aperiodic task in order to provide the concept of fully optimal real-time scheduling given real-time requirements of user applications. The proposed approach guarantees the feasible scheduling of hybrid task sets while meeting deadlines of all the periodic tasks. A case study based on real system experiments is conducted to illustrate the application and efficiency of the proposed technique. It shows that our method yields efficient performance in terms of guaranteeing the deadlines of all the periodic tasks and aiming to provide aperiodic tasks with good average response time.