title: A fuzzy-decision based approach for Composite event detection in wireless sensor networks.
abstract: The event detection is one of the fundamental researches in wireless sensor networks (WSNs). Due to the consideration of various properties that reflect events status, the Composite event is more consistent with the objective world. Thus, the research of the Composite event becomes more realistic. In this paper, we analyze the characteristics of the Composite event; then we propose a criterion to determine the area of the Composite event and put forward a dominating set based network topology construction algorithm under random deployment. For the unreliability of partial data in detection process and fuzziness of the event definitions in nature, we propose a cluster-based two-dimensional τ-GAS algorithm and fuzzy-decision based composite event decision mechanism. In the case that the sensory data of most nodes are normal, the two-dimensional τ-GAS algorithm can filter the fault node data effectively and reduce the influence of erroneous data on the event determination. The Composite event judgment mechanism which is based on fuzzy-decision holds the superiority of the fuzzy-logic based algorithm; moreover, it does not need the support of a huge rule base and its computational complexity is small. Compared to CollECT algorithm and CDS algorithm, this algorithm improves the detection accuracy and reduces the traffic.
authors.affiliation: School of Computer Science and Technology, Soochow University, Suzhou 215006, China ; State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210093, China.
authors.forename: Shukui
authors.initials: S
authors.lastname: Zhang
authors.affiliation: School of Computer Science and Technology, Soochow University, Suzhou 215006, China.
authors.forename: Hao
authors.initials: H
authors.lastname: Chen
authors.affiliation: School of Computer Science and Technology, Soochow University, Suzhou 215006, China.
authors.forename: Qiaoming
authors.initials: Q
authors.lastname: Zhu
authors.affiliation: School of Computer Science and Technology, Soochow University, Suzhou 215006, China.
authors.forename: Juncheng
authors.identifier: 0000-0001-8276-7640
authors.initials: J
authors.lastname: Jia
mesh_terms: D000465:Algorithms; D003195:Computer Communication Networks; D017143:Fuzzy Logic; D059015:Wireless Technology