One important way to extend the lifetime of wireless sensor networks is to deploy the
sensors in a dense manner. The redundancy among the sensed data demonstrates that it is …

Event detection is a critical task in sensor networks for a variety of real-world applications.
Many realworld events often exhibit complex spatio-temporal patterns whereby they …

This paper proposes a Bayesian modeling approach to address the problem of online fault-
tolerant dynamic event region detection in wireless sensor networks. In our model every …

Event detection is an important task required in various applications of wireless sensor
network (WSN). The existing approaches consider the spatial and temporal correlation of …

Reliable event detection is an essential task of wireless sensor networks (WSNs) in which
there are different types of uncertainty. In this paper, we consider a decentralized detection …

In the petroleum industry, multivariate time series data is commonly used to monitor the
performance of their assets, in which wells artificial lift systems are among the key assets …

Future wireless sensor networks are expected to provide various sensing services and
energy efficiency is one of the most important criterions. The node scheduling strategy aims …

Event detection concerns identifying occurrence of interesting events which are meaningful
and understandable. In dynamic fields, as time passes the attribute of phenomenon varies in …

This paper presents an approach for the detection of high-level events from spatially
distributed time series. The objective is to detect spatially evolving high-level events as …

In practical applications, because of some reasons, such as node failure or link failure, data
loss is a normal occurrence in wireless sensor networks. For many applications on which …