Name
Abstract | ||
|---|---|---|
To overcome the disadvantages of the positioning technologies by fuzzy theory in Wireless Sensor Networks (WSNs), positioning algorithms based on information fusion are presented in this article. The fuzzy theory is used to deal with the randomness and fuzziness in the WSNs. And the information fusion is introduced to improve the location accuracy. If the collinearity of the anchor nodes is larger, the misjudged reference nodes may be caused. They are removed by using clustering method. The algorithms in this paper can enhance the location accuracies compared with using the fuzzy theory and alleviate the effect of the RSSI (Received Signal Strength Indication) measure errors. Moreover, the algorithms avoid the high complexity of computation and the requirement of more anchor nodes. Simulation results indicate that the algorithms are more precise, robust as well as with good suitability. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/s11277-013-1305-7 | Wireless Personal Communications |
Keywords | Field | DocType |
location accuracy,positioning algorithms,information fusion,positioning technology,received signal strength indication,fuzzy theory,good suitability,high complexity,clustering method,wireless sensor networks,anchor node | Key distribution in wireless sensor networks,Data mining,Collinearity,Received signal strength indication,Computer science,Fuzzy logic,Algorithm,Real-time computing,Cluster analysis,Wireless sensor network,Randomness,Computation | Journal |
Volume | Issue | ISSN |
74 | 2 | 1572-834X |
Citations | PageRank | References |
1 | 0.37 | 6 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liangrui Tang | 1 | 40 | 19.00 |
| Yue Gong | 2 | 1 | 0.37 |
| Yiting Luo | 3 | 3 | 1.44 |
| Sen Feng | 4 | 17 | 4.32 |
| Xiongwen Zhao | 5 | 175 | 20.36 |