A real-time Novel Distributed Cooperative Processing Strategy for Isomerism Networks in Internet of Things

To cope with the increasing information in sensor networks, distributed cooperative computing is used, to exchange and utilize the data. However, the data in each specific sensor network is heterogeneous with specific formats and semantics. Thus, it is a huge conundrum to integrate, share and interoperate these sub sensor networks. To solve the above problem, a real-time novel Distributed Cooperative model for Isomerism Multi-Sensor network (DCIMS), is proposed in this paper. The DCIMS architecture is based on distributed cooperative data caching and forwarding, which can handle massive, semantic and real-time data stream at each Sensor Gateway node. A new filtering algorithm named Post-Tree-Automata filter (PTAfilter) is proposed based on unranked tree automata and suffix technologies. The proposed filter can process real-time XML streaming (which contains uncertain semantic elements), and understand more complex subscription structures. Both simulation results and theoretical analysis demonstrate that the proposed method improves the query speed, reduces redundant transmission intermediate states.