CFP last date
20 January 2025
Call for Paper
February Edition
IJCA solicits high quality original research papers for the upcoming February edition of the journal. The last date of research paper submission is 20 January 2025

Submit your paper
Know more
The week's pick
Responsive image
SFLA-Based Line Balancing and Task Optimization in Master-Slave Controlled Hanger Transportation Systems for Garment Production

Duc Hoang Nguyen
Random Articles
Reseach Article

Performance Analysis of Angle of Arrival Estimation Algorithms for Smart Antenna in Wireless Sensor Networks: An Optimization Approach

by N. G. Palan, B. V. Barbadekar, Suhas S. Patil
journal cover thumbnail

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 148 - Number 14
Year of Publication: 2016
Authors: N. G. Palan, B. V. Barbadekar, Suhas S. Patil
10.5120/ijca2016911300

N. G. Palan, B. V. Barbadekar, Suhas S. Patil . Performance Analysis of Angle of Arrival Estimation Algorithms for Smart Antenna in Wireless Sensor Networks: An Optimization Approach. International Journal of Computer Applications. 148, 14 ( Aug 2016), 38-43. DOI=10.5120/ijca2016911300

@article{ 10.5120/ijca2016911300,
author = { N. G. Palan, B. V. Barbadekar, Suhas S. Patil },
title = { Performance Analysis of Angle of Arrival Estimation Algorithms for Smart Antenna in Wireless Sensor Networks: An Optimization Approach },
journal = { International Journal of Computer Applications },
issue_date = { Aug 2016 },
volume = { 148 },
number = { 14 },
month = { Aug },
year = { 2016 },
issn = { 0975-8887 },
pages = { 38-43 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume148/number14/25844-2016911300/ },
doi = { 10.5120/ijca2016911300 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:53:24.654835+05:30
%A N. G. Palan
%A B. V. Barbadekar
%A Suhas S. Patil
%T Performance Analysis of Angle of Arrival Estimation Algorithms for Smart Antenna in Wireless Sensor Networks: An Optimization Approach
%J International Journal of Computer Applications
%@ 0975-8887
%V 148
%N 14
%P 38-43
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

WSN (Wireless Sensor Network) has energy constraints. Main energy consumption is at the (Tx) transmitter/ receiver (Rx) side, which is proportional to data/command packets /frames. Failure at the receiving end asks for re-transmission leading to more power consumption. WSN follows structured layers like medium access control (MAC), physical layer (PHY), link layer etc. PHY deals with RF transmission including antenna. In this paper the focus is given on smart antenna as, WSN deals with systems which need to be adaptive, especially in unknown time varying scenarios. With data transmission; location positioning (localization) and efficient routing are the factors to be considered. Localization of node is done using range measurements which include received signal strength, time of arrival, time difference of arrival (TDOA) and angle-of-arrival (AoA) measurement. By improvising antenna performance i.e. small beam width, we can achieve less erroneous data reception, leading to less energy consumption. In this work, we propose a method based on Non-dominated Sorting Genetic Algorithm (NSGA-II) for localization of nodes using smart antennas. Comparative analysis of its performance is done with different algorithms like LMS (Least Mean Square), LMS and PSO (Particle Swarm Algorithm) for varying number of elements and spacing between elements. We demonstrated that the proposed method achieves very good accuracy and precision in angle measurements as compared with existing approaches.

References
  1. Pantelis K. Varlamos and Christos N. Capsalis, Direction-of-Arrival Estimation (DoA) Using Switched Parasitic Planar Arrays and the Method of Genetic Algorithms, Article in Wireless Personal Communications 28(1):59-75 · January 2000
  2. K. Deb, A. Pratap, S. Agarwal, and T. Meyarivan, “A Fast and Elitist Multi-objective Genetic Algorithm: NSGA-II,” IEEE Trans. Evol. Comp., vol. 6, no. 2, Apr. 2002, pp. 182-197
  3. M. Pastorino ;  A. Randazzo , A smart antenna system for direction of arrival estimation based on a support vector regression , IEEE Transactions on Antennas and Propagation  (Volume:53 ,  Issue: 7 ) pp:2161 – 2168,July 2005
  4. Rong P and Mihail L. Sichitiu, Angle of Arrival Localization for Wireless Sensor Networks, 3rd Annual IEEE Communications Society on Sensor and Ad Hoc Communications and Networks (Volume:1 ), pp:374 – 382,Sept. 2006
  5. Minghui Li  ; Yilong Lu ,Angle-of-arrival estimation for localization and communication in wireless networks, 2008 16th European Signal Processing Conference, Pp:1 – 5, Aug. 2008
  6. Adnan Kavak ; ; Kerem Kucuk, On connectivity analysis of smart antenna capable wireless sensor networks, 2009 6th International Symposium on Wireless Communication Systems , pp: 6 - 10Sept. 2009
  7. J. Ou Yang , Q.R. Yuan, Fair Yang,H.J. Zhou, Z.P. Nie,Zi-qin Zhao , Synthesis of Conformal Phased Array With Improved NSGA-II Algorithm Article in IEEE Transactions on Antennas and Propagation 57(12):4006 - 4009 · January 2010
  8. T.S. Jeyali Laseetha and R.Sukanesh , Smart Antenna–AOA Estimation Employing Music Algorithm And Digital Beamforming By Variable Step-Size LMS Algorithm With Novel Mac Protocol For IEEE 802.11, ICNVS'10 Proceedings of the 12th international conference on Networking, VLSI and signal processing, pp: 187-192 ,2010
  9. F. Zaman1,I. M. Qureshi , A. Naveed , J. A. Khan , and R. M. A. Zahoor, Amplitude And Directional Of Arrival Estimation: Comparison Between Different Techniques, Progress In Electromagnetics Research B, Vol. 39, 319–335, 2012
  10. E. D. Skiani ;  S. A. Mitilineos ; S. C. A. Thomopoulos, A Study of the Performance of Wireless Sensor Networks Operating with Smart Antennas, IEEE Antennas and Propagation Magazine  (Volume:54 ,  Issue: 3 ),pp:50 – 67, 2012
  11. Tanuja S. Dhope ,Dina Simunic ; Nikhil Dhokariya ; Vishal Pawar ; Bhawana Gupta, Performance analysis of angle of arrival estimation algorithms for dynamic spectrum access in cognitive radio networks, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), ,pp:121 – 126, Aug. 2013
  12. Nihad A. A. Elhag ;  Isam M. Osman ; Alaa A. Yassin ; Tsneem B. Ahmed, Angle of arrival estimation in smart antenna using MUSIC method for wideband wireless communication, 2013 International Conference on Computing, Electrical and Electronics Engineering (ICCEEE), Pp :69 – 73,Aug. 2013
  13. Changhwan Choi ;  Yongwan Park ; Soojung Hur, Location estimation algorithm using smart antenna, 2014 International Conference on Indoor Positioning and Indoor Navigation (IPIN), pp:753 – 755,Oct. 2014
  14. Nayan B. Shambharkar, P. M. Mainkar,G. N. Mulay,Optimization Techniques for Smart Antenna Beamforming, International Journal of Mobile & Adhoc Network, Vol 3, issue 4, November 2013
Index Terms

Computer Science
Information Sciences

Keywords

NSGA-II LMS PSO WSN AoA PHY MAC TDOA

Powered by PhDFocusTM