TY - GEN
T1 - A novel least-square method of source localization based on acoustic energy measurements for UWSN
AU - Yan, Yongsheng
AU - Wang, Haiyan
AU - Wang, Xuan
PY - 2011
Y1 - 2011
N2 - Wireless sensor networks (WSN) are widely used in numerous aspects. Least-square localization method of source localization based on energy measurements is focused on due to the tradeoff between performance and computation in underwater wireless sensor networks (UWSN). Firstly, several least-square methods of source localization are reviewed and the performances are compared. Secondly, in terms of one step weighted least-square localization (OS-LS) method a new weighted factor is derived to simplify the operation. Finally, a novel least-square method based on energy measurements is proposed in underwater wireless sensor networks (UWSN). Compared to the existing acoustic source localization methods, this proposed method reduces the computation of Data Fusion Center (DFC) on the premise of ensuring the localization accuracy. Numerous simulation results show that weighted least-square (WLS) method of localization outperforms least-square (LS) localization and the new direct least-square (D-LS) method operates with less computation than the maximum likelihood (ML) and other least-square methods. Furthermore, the direct WLS with correction technique (DC-WLS) method improves the localization accuracy by exploiting the correlation of variables compared to the one without correction technique.
AB - Wireless sensor networks (WSN) are widely used in numerous aspects. Least-square localization method of source localization based on energy measurements is focused on due to the tradeoff between performance and computation in underwater wireless sensor networks (UWSN). Firstly, several least-square methods of source localization are reviewed and the performances are compared. Secondly, in terms of one step weighted least-square localization (OS-LS) method a new weighted factor is derived to simplify the operation. Finally, a novel least-square method based on energy measurements is proposed in underwater wireless sensor networks (UWSN). Compared to the existing acoustic source localization methods, this proposed method reduces the computation of Data Fusion Center (DFC) on the premise of ensuring the localization accuracy. Numerous simulation results show that weighted least-square (WLS) method of localization outperforms least-square (LS) localization and the new direct least-square (D-LS) method operates with less computation than the maximum likelihood (ML) and other least-square methods. Furthermore, the direct WLS with correction technique (DC-WLS) method improves the localization accuracy by exploiting the correlation of variables compared to the one without correction technique.
KW - correction technique
KW - least-square source localization
KW - underwater wireless sensor networks
UR - http://www.scopus.com/inward/record.url?scp=81055148266&partnerID=8YFLogxK
U2 - 10.1109/ICSPCC.2011.6061723
DO - 10.1109/ICSPCC.2011.6061723
M3 - 会议稿件
AN - SCOPUS:81055148266
SN - 9781457708947
T3 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
BT - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
T2 - 2011 IEEE International Conference on Signal Processing, Communications and Computing, ICSPCC 2011
Y2 - 14 September 2011 through 16 September 2011
ER -