[[abstract]]This work provides a distributed fault-tolerant event region detection algorithm for wireless sensor networks. The proposed algorithm can identify faulty and fault-free sensors and ignore the abnormal readings to avoid false alarm. Moreover, every event region can also be detected and identified. Simulation results show that fault detection accuracy (FDA) is greater than 92%, false alarm rate (FAR) is near 0%, and event detection accuracy (EDA) is greater than 99% under uniform distribution. FDA is greater than 92%, FAR is less than 1.2%, and EDA is greater than 88% under random distribution when sensor fault probability is less than 0.3.[[note]]SC
A distributed fault identification algorithm is proposed here to find both hard and soft faulty sens...
Fault-tolerant event detection is fundamental to wireless sensor network applications. Existing appr...
Abstract-Collecting data with confidence of the environment is an important application of the wirel...
[[abstract]]This work provides a distributed fault-tolerant event region detection algorithm for wir...
Detecting the region of emergent events is an important application of wireless sensor networks. In ...
In this paper, we present an adaptive fault-tolerant event detection scheme for wireless sensor netw...
1 We propose a distributed solution for a canonical task in wireless sensor networks – the binary de...
Abstract—In this paper, the problem of event-region detection in wireless sensor networks (WSNs) are...
Wireless sensor network (WSN) are powered by batteries to perform various sensing tasks in a given e...
Distributed event detection using wireless sensor networks has received growing interest in recent y...
To guarantee its integrity, a wireless sensor network needs to efficiently detect faulty nodes produ...
Abstract—Event boundary detection is in and of itself a useful application in wireless sensor networ...
AbstractIntermittent and transient faults are the largest source of failure for sensor networks. In ...
Abstract — Event detection is the primary step in many sensor network applications. An event (target...
A key issue in wireless sensor network applications is how to accurately detect anomalies in an unst...
A distributed fault identification algorithm is proposed here to find both hard and soft faulty sens...
Fault-tolerant event detection is fundamental to wireless sensor network applications. Existing appr...
Abstract-Collecting data with confidence of the environment is an important application of the wirel...
[[abstract]]This work provides a distributed fault-tolerant event region detection algorithm for wir...
Detecting the region of emergent events is an important application of wireless sensor networks. In ...
In this paper, we present an adaptive fault-tolerant event detection scheme for wireless sensor netw...
1 We propose a distributed solution for a canonical task in wireless sensor networks – the binary de...
Abstract—In this paper, the problem of event-region detection in wireless sensor networks (WSNs) are...
Wireless sensor network (WSN) are powered by batteries to perform various sensing tasks in a given e...
Distributed event detection using wireless sensor networks has received growing interest in recent y...
To guarantee its integrity, a wireless sensor network needs to efficiently detect faulty nodes produ...
Abstract—Event boundary detection is in and of itself a useful application in wireless sensor networ...
AbstractIntermittent and transient faults are the largest source of failure for sensor networks. In ...
Abstract — Event detection is the primary step in many sensor network applications. An event (target...
A key issue in wireless sensor network applications is how to accurately detect anomalies in an unst...
A distributed fault identification algorithm is proposed here to find both hard and soft faulty sens...
Fault-tolerant event detection is fundamental to wireless sensor network applications. Existing appr...
Abstract-Collecting data with confidence of the environment is an important application of the wirel...