Reliable and Fast Detection of Gradual Events in Wireless Sensor Networks
Event detection is among the most important applications of wireless sensor networks. Due to the fact that sensor readings do not always represent the true attribute values, previous literatures suggested threshold-based voting mechanism which involves collecting votes of all neighbors to disambiguate node failures from events, instead of reporting an event directly based on the judgement of single sensor node. Although such mechanism significantly reduces false positives, it inevitably introduces false negatives which lead to a detection delay under the scenario of gradual events. In this paper, we propose a new detection method – the bit-string match voting (BMV), which provides a response time close to that of the direct reporting method and a false positive rate even lower than that of the threshold-based voting method. Furthermore, BMV is able to avoid repeated and redundant reports of the same event, thus prolongs the life of the network. Extensive simulations are given to demonstrate and verify the advantages of BMV.
Unable to display preview. Download preview PDF.
- 1.Xue, W., Luo, Q., Chen, L., Liu, Y.: Contour map matching for event detection in sensor networks. SIGMOD (2006)Google Scholar
- 2.Intel Lab Data: http://berkeley.intel-research.net/labdata/
- 3.Werner-Allen, G., Johnson, J., Ruiz, M., Lees, J., Welsh, M.: Monitoring volcanic eruptions with a wireless sensor network. EWSN (2005)Google Scholar
- 4.Krishnamachari, B., Sitharama, I.: Distributed bayesian algorithms for fault-tolerant event region detection in wireless sensor network. IEEE Transactions on Computers (2004)Google Scholar
- 5.Abadi, D., Madden, S., Lindner, W.: Reed: Robust, efficient filtering and event detection in sensor networks. VLDB (2005)Google Scholar
- 6.Subramaniam, S., Kalogeraki, V., Palpanas, T.: Distributed real-time detection and tracking of homogeneous regions in sensor networks. RTSS (2006)Google Scholar
- 8.Lim, A., Chin Liew, S., Lim, K., Kwoh, L.: Retrieval of subpixel fire temperature and fire area in moderate resolution imaging spectrometer. IGARSS (2002)Google Scholar
- 9.Yu, X., Niyogi, K., Mehrotra, S., Venkatasubramanian, N.: Adaptive target tracking in sensor networks. CNDS (2004)Google Scholar
- 10.Eutrophication, http://toxics.usgs.gov/definitions/eutrophication.html