Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-88582-5_26 | WASA |
Keywords | Field | DocType |
gradual events,fast detection,false positive,direct reporting method,event detection,bit-string match voting,sensor reading,false positive rate,false negative,new detection method,detection delay,wireless sensor networks,gradual event,wireless sensor network,string matching | Sensor node,Data mining,False positive rate,Voting,Computer science,Judgement,Response time,Real-time computing,Wireless sensor network,False positive paradox | Conference |
Volume | ISSN | Citations |
5258 | 0302-9743 | 2 |
PageRank | References | Authors |
0.37 | 8 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liping Peng | 1 | 107 | 7.50 |
| Hong Gao | 2 | 1086 | 120.07 |
| Jianzhong Li | 3 | 3196 | 304.46 |
| Shengfei Shi | 4 | 82 | 15.87 |
| Boduo Li | 5 | 202 | 8.65 |