Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network
Positioning, either outdoor or indoor, has been one of the most attractive fields for researchers to study and they apply different approaches in order to allocate a moving object. Some positioning approaches use Received Signal Strength (RSSI) in order to determine the location such as Fingerprinti...
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| Format: | Article |
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Institute of Advanced Engineering and Science
2018
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| _version_ | 1796864083673219072 |
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| author | Alnahari, Abdulqudos Y. Ahmad, Noor Azurati Yusof, Yusnaidi |
| author_facet | Alnahari, Abdulqudos Y. Ahmad, Noor Azurati Yusof, Yusnaidi |
| author_sort | Alnahari, Abdulqudos Y. |
| collection | ePrints |
| description | Positioning, either outdoor or indoor, has been one of the most attractive fields for researchers to study and they apply different approaches in order to allocate a moving object. Some positioning approaches use Received Signal Strength (RSSI) in order to determine the location such as Fingerprinting, and Weighted Centroid Localization (WCL). On the other hand, some approaches use signal travelling time such as Time of Arrival (TOA) and Time Difference of Arrival (TDOA). However, the accuracy is still low due to the effect of RSSI to moving objects. This paper shows how to allocate a blind node in a wireless sensor network (WSN) using the proposed WCL approach and shows how the enhancement of the algorithm made better accuracy with mean square error, MSE, of 64.5 cm for indoor positioning and 123.0cm for outdoor positioning. One of previous WCL approaches reached accuracy with an error of as low as 15.0 cm but in simulation, and others used different approaches with MSE of 80.0 cm and another as high as 2.6 m. |
| first_indexed | 2024-03-05T20:36:31Z |
| format | Article |
| id | utm.eprints-85639 |
| institution | Universiti Teknologi Malaysia - ePrints |
| last_indexed | 2024-03-05T20:36:31Z |
| publishDate | 2018 |
| publisher | Institute of Advanced Engineering and Science |
| record_format | dspace |
| spelling | utm.eprints-856392020-07-07T05:00:06Z http://eprints.utm.my/85639/ Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network Alnahari, Abdulqudos Y. Ahmad, Noor Azurati Yusof, Yusnaidi T Technology (General) Positioning, either outdoor or indoor, has been one of the most attractive fields for researchers to study and they apply different approaches in order to allocate a moving object. Some positioning approaches use Received Signal Strength (RSSI) in order to determine the location such as Fingerprinting, and Weighted Centroid Localization (WCL). On the other hand, some approaches use signal travelling time such as Time of Arrival (TOA) and Time Difference of Arrival (TDOA). However, the accuracy is still low due to the effect of RSSI to moving objects. This paper shows how to allocate a blind node in a wireless sensor network (WSN) using the proposed WCL approach and shows how the enhancement of the algorithm made better accuracy with mean square error, MSE, of 64.5 cm for indoor positioning and 123.0cm for outdoor positioning. One of previous WCL approaches reached accuracy with an error of as low as 15.0 cm but in simulation, and others used different approaches with MSE of 80.0 cm and another as high as 2.6 m. Institute of Advanced Engineering and Science 2018 Article PeerReviewed Alnahari, Abdulqudos Y. and Ahmad, Noor Azurati and Yusof, Yusnaidi (2018) Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network. International Journal of Advanced and Applied Sciences, 5 (2). pp. 33-36. ISSN 2313-626X http://dx.doi.org/10.21833/ijaas.2018.02.006 |
| spellingShingle | T Technology (General) Alnahari, Abdulqudos Y. Ahmad, Noor Azurati Yusof, Yusnaidi Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network |
| title | Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network |
| title_full | Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network |
| title_fullStr | Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network |
| title_full_unstemmed | Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network |
| title_short | Modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network |
| title_sort | modified weighted centroid algorithm for indoor and outdoor positioning using wireless sensors network |
| topic | T Technology (General) |
| work_keys_str_mv | AT alnahariabdulqudosy modifiedweightedcentroidalgorithmforindoorandoutdoorpositioningusingwirelesssensorsnetwork AT ahmadnoorazurati modifiedweightedcentroidalgorithmforindoorandoutdoorpositioningusingwirelesssensorsnetwork AT yusofyusnaidi modifiedweightedcentroidalgorithmforindoorandoutdoorpositioningusingwirelesssensorsnetwork |