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WSN-Based Indoor Location Identification System (LIS) Applied to Vision Robot Designed by Fuzzy Neural Network
| Content Provider | Semantic Scholar |
|---|---|
| Author | Mona, Yi-Jen |
| Copyright Year | 2015 |
| Abstract | In this paper, the adaptive network based fuzzy inference system (ANFIS) based wireless sensor network (WSN) is constructed to develop a location identification system (LIS) to monitor the values of link quality indicator (LQI) or received signal strength indicator (RSSI) of IEEE 802.15.4/ZigBee WSN indoor to realize the tag locations of vision robot. The LIS system is composed of one gateway, some location nodes and tags. The RSSI methodology is used to identify the location of tags. At first, the LQI is demonstrated then it is applied to develop a WSN LIS. By using LIS, the performance of indoor location identification of vision robot is verified. At last, the ANFIS neural network is used to combine with the LIS to develop application of vision robot. The experimental results demonstrate that the design requirement can be achieved; meanwhile, it also demonstrates that the good indoor LIS performances are possessed by using LIS system and ANFIS neural network. |
| Starting Page | 39 |
| Ending Page | 39 |
| Page Count | 1 |
| File Format | PDF HTM / HTML |
| Volume Number | 14 |
| Alternate Webpage(s) | http://dline.info/fpaper/jdim/v13i1/v13i1_6.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
