Adaptive TDMA-based clustering for critical event detection in Wireless Sensor Networks

Wireless Sensor Networks (WSNs) have experienced an amazing evolution during the last decade. Compared with other wired or wireless networks, wireless sensor networks extend the range of data collection and make it possible for us to get information from every corner of the world. The chapter begins with an introduction to WSNs and their applications. The chapter recognizes event detection as a key component for WSN applications. The chapter provides a structured and comprehensive overview of various techniques used for event detection in WSNs. Existing event detection techniques have been grouped into threshold based and pattern based mechanisms. For each category of event detection mechanism, the chapter surveys some representative technical schemes. The chapter also provides some analyses on the relative strengths and weaknesses of these technical schemes. Towards the end, the trends in the research regarding the event detection in WSNs are described.

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A Novel Wireless Sensor Networks Event Detection Method based on Evidence Theory

Journal of Convergence Information Technology ◽

10.4156/jcit.vol7.issue16.37 ◽

2012 ◽

Vol 7 (16) ◽

pp. 305-314

Author(s):

MA Jue

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Event Detection ◽

Detection Method ◽

Evidence Theory ◽

Wireless Sensor

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A Fuzzy-Decision Based Approach for Composite Event Detection in Wireless Sensor Networks

The Scientific World JOURNAL ◽

10.1155/2014/816892 ◽

2014 ◽

Vol 2014 ◽

pp. 1-20 ◽

Cited By ~ 1

Author(s):

Shukui Zhang ◽

Hao Chen ◽

Qiaoming Zhu ◽

Juncheng Jia

Keyword(s):

Wireless Sensor Networks ◽

Sensor Networks ◽

Event Detection ◽

Dominating Set ◽

Wireless Sensor ◽

Rule Base ◽

Detection Accuracy ◽

Two Dimensional ◽

Fuzzy Decision ◽

Composite Event

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-dimensionalτ-GAS algorithm and fuzzy-decision based composite event decision mechanism. In the case that the sensory data of most nodes are normal, the two-dimensionalτ-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.

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