Information fusion for wireless sensor networks: Methods, models, and classifications
ACM Computing Surveys (CSUR)
Effect of Neighborhood on In-Network Processing in Sensor Networks
GIScience '08 Proceedings of the 5th international conference on Geographic Information Science
Decentralized area computation for spatial regions
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
MSN'07 Proceedings of the 3rd international conference on Mobile ad-hoc and sensor networks
A boundary approximation algorithm for distributed sensor networks
International Journal of Sensor Networks
Perimeter detection in wireless sensor networks
Robotics and Autonomous Systems
| Hi-index | 0.00 |
Wireless sensor networks provide an advanced platform to observe the physical world. Different users may be interested in different events derived from a same spatial phenomenon. The constrained and noisy environment of sensor networks, however, challenges successful in-network solutions to monitor and detect events and event boundaries. This paper presents an efficient algorithm, named NED, to support event and event boundary detection in wireless sensor networks. NED encodes partial event estimation results into variable length messages exchanged locally among neighboring nodes. Sensor nodes estimate events and event boundaries based on moving averages to eliminate noise effects. Thus, NED is resource-friendly to constrained sensor networks, and scales well to very large networks. Our experiment results illustrate that NED's communication cost is flexible and moderate to different noise levels, and NED provides high quality estimation results of event and event boundary detection.