Wireless sensor localization using enhanced DV-AoA algorithm

Peter BRIDA; Juraj MACHAJ; Jozef BENIKOVSKY

Article Details

Wireless sensor localization using enhanced DV-AoA algorithm

Authors:

Peter BRIDA | Juraj MACHAJ | Jozef BENIKOVSKY

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2014 Vol.22 Issue 3, pp.679-689

Document Type:

Article

Publication Date:

5/2014

Document Language:

Turkish

Document ID (Org No.):

2000743001

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632

Abstract:

 

In this paper, we deal with the improvement of the  positioning accuracy of distance vector (DV)-based positioning algorithms,  which use angular information DV- angle of arrival (AoA). This  algorithm belongs to an ad-hoc positioning system. We focus on the  improvement of the algorithm and its enhanced version is presented. The  angular information of particular nodes is obtained and processed by the  original algorithm; however, the final position estimation is determined by  the proposed novel algorithm using only a subset of all intersections. We  assign weights to the individual intersections according to their positions  and the positions of the RNs. For the final position estimation, only  intersections with the highest weights are used. The performance of the  proposed enhanced algorithm is verified by simulations and it is compared  with the original DV-AoA algorithm.

 

In this paper, we deal with the improvement of the  positioning accuracy of distance vector (DV)-based positioning algorithms,  which use angular information DV- angle of arrival (AoA). This  algorithm belongs to an ad-hoc positioning system. We focus on the  improvement of the algorithm and its enhanced version is presented. The  angular information of particular nodes is obtained and processed by the  original algorithm; however, the final position estimation is determined by  the proposed novel algorithm using only a subset of all intersections. We  assign weights to the individual intersections according to their positions  and the positions of the RNs. For the final position estimation, only  intersections with the highest weights are used. The performance of the  proposed enhanced algorithm is verified by simulations and it is compared  with the original DV-AoA algorithm.

Article Details

Wireless sensor localization using enhanced DV-AoA algorithm

Authors: Peter BRIDA | Juraj MACHAJ | Jozef BENIKOVSKY

Publisher: TUBITAK

Journal: Turkish Journal of Electrical Engineering and Computer Science 2014 Vol.22 Issue 3, pp.679-689

Document Type: Article

Publication Date: 5/2014

Document Language: Turkish

Document ID (Org No.): 2000743001

Frequency: Bimonthly

eISSN: 1303-6203

pISSN: 1300-0632

Issues

Authors:

Peter BRIDA | Juraj MACHAJ | Jozef BENIKOVSKY

Publisher:

TUBITAK

Journal:

Turkish Journal of Electrical Engineering and Computer Science 2014 Vol.22 Issue 3, pp.679-689

Document Type:

Article

Publication Date:

5/2014

Document Language:

Turkish

Document ID (Org No.):

2000743001

Frequency:

Bimonthly

eISSN:

1303-6203

pISSN:

1300-0632