Title :
A sliding window approach for dynamic event-region detection in sensor networks
Author :
Tsang-Yi Wang ; Ming-Hsun Yang ; Jwo-Yuh Wu
Author_Institution :
Inst. of Commun. Eng., Nat. Sun Yat-sen Univ., Kaohsiung, Taiwan
Abstract :
Event region detection is an important problem in wireless sensor networks. However, a fundamental assumption required for the event-region detection schemes proposed in the literature is that the event-region under detection is quasi-static, i.e., the event-regions do not change during the detection period. This assumption could fail in detecting fast varying events, such as forest fire events and mudslides. Therefore, the detection task considered in the present study is to cope with the continuously varying event regions. Specifically, we adopt a sliding window approach, in which only the sensor measurements from the present to a fixed length time ago are utilized for making decision at any particular time slot. Our simulation results demonstrate the advantages of the proposed detection scheme.
Keywords :
Markov processes; decision making; wireless sensor networks; detection task; dynamic event-region detection; event-region detection schemes; forest fire events; mudslides; sensor measurements; sliding window approach; wireless sensor networks; Approximation methods; Educational institutions; Error analysis; Hidden Markov models; Markov processes; Signal to noise ratio; Wireless sensor networks; Cooperative fusion; Markov random fields; change detection; dynamic event; event-region detection;
Conference_Titel :
Information Science, Electronics and Electrical Engineering (ISEEE), 2014 International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4799-3196-5
DOI :
10.1109/InfoSEEE.2014.6946278