Wireless sensor networks for habitat monitoring
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
Connecting the Physical World with Pervasive Networks
IEEE Pervasive Computing
The Impact of Data Aggregation in Wireless Sensor Networks
ICDCSW '02 Proceedings of the 22nd International Conference on Distributed Computing Systems
TAG: a Tiny AGgregation service for Ad-Hoc sensor networks
OSDI '02 Proceedings of the 5th symposium on Operating systems design and implementationCopyright restrictions prevent ACM from being able to make the PDFs for this conference available for downloading
Protocols and Architectures for Wireless Sensor Networks
Protocols and Architectures for Wireless Sensor Networks
ISCC '05 Proceedings of the 10th IEEE Symposium on Computers and Communications
Proceedings of the 3rd international conference on Embedded networked sensor systems
Wakeup scheduling in wireless sensor networks
Proceedings of the 7th ACM international symposium on Mobile ad hoc networking and computing
Contour map matching for event detection in sensor networks
Proceedings of the 2006 ACM SIGMOD international conference on Management of data
Towards optimal sleep scheduling in sensor networks for rare-event detection
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Pattern Recognition and Machine Learning (Information Science and Statistics)
Pattern Recognition and Machine Learning (Information Science and Statistics)
Wireless sensor networks for structural health monitoring
Proceedings of the 4th international conference on Embedded networked sensor systems
Neural Wireless Sensor Networks
ICSNC '06 Proceedings of the International Conference on Systems and Networks Communication
Nonthreshold-Based Event Detection for 3D Environment Monitoring in Sensor Networks
IEEE Transactions on Knowledge and Data Engineering
The design space of wireless sensor networks
IEEE Wireless Communications
IEEE Communications Magazine
| Hi-index | 0.00 |
Physical world event monitoring and detection are two of the most dominating applications of wireless sensor networks. Combining sensor networks with artificial intelligence and pattern recognition is envisaged to deliver smart application to end-users. In this paper, a new distributed energy efficient pattern recognition approach is proposed to first depict events of interest as patterns and then detect the occurrence of events of interest, namely: the Voting with Random Node Selection (VRNS) approach. Sensor nodes may leverage their processing and storage capabilities by collectively handling sensory data to translate local sensory information of individual sensor nodes into meaningful results that depict the global status of the environment. In contrast to classical pattern recognition approaches, the VRNS approach operates within the constrained sensor network's resources and infrastructures. Instead of utilising the entire sensor network, events of interest are recognised by employing an arbitrary sample of sensor nodes. The results show that the VRNS approach is capable of prolonging the longevity of the network's lifetime, recognising event patterns effectively, and avoiding over-utilisation hotspots in the network.