摘要(英) |
Localization is one of the fundamental services in wireless sensor networks. Many
applications, such as environmental monitoring and trac control, rely on the avail-
ability of location information for wireless sensors. Among all types of localization
techniques, the Radio Interferometric Positioning System (RIPS) is promising due
to its high accuracy and low hardware requirements. However, when RIPS is ap-
plied to a large-scale wireless sensor network, at times the RIPS measurements may
lead to ambiguous positioning for a free node, i.e., there may be more than one pos-
sible position for a free node. If the free node is assigned an incorrect location, the
error will be propagated to other free nodes, leading to increasing localization errors
in the network. In this thesis, a localization algorithm is proposed which utilizes
redundant location information from multiple cases to identify the true location of
free nodes. The proposed algorithm is fully distributed, and the extra overhead
is paid only when the ambiguity issue occurs. The simulation results demonstrate
that the proposed algorithm is able to localize more than 90% of the free nodes with
adequate node density or enough number of anchors. |
參考文獻 |
[1] Matlab (version 7.0.0.19920), 2004.
[2] Nabil Ali Alrajeh, Maryam Bashir, and Bilal Shams. Localization techniques in
wireless sensor networks. International Journal of Distributed Sensor Networks, 2013.
[3] Moshaddique Al Ameen, Jingwei Liu, and Kyungsup Kwak. Security and privacy
issues in wireless sensor networks for healthcare applications. This article is published
with open access at Springerlink.com, March 2010.
[4] Guillermo Barrenetxea, Francois Ingelrest, Gunnar Schaefer, and Martin Vetterli.
Wireless sensor networks for environmental monitoring: The sensorscope experience.
In IEEE International Zurich Seminar on Communications, pages 98 { 101. IEEE,
Feb. 2008.
[5] Marcus Brazil, Mark R. Morelande, William Moran, and Doreen A. Thomas. Distributed
self-localisation in sensor networks using rips measurements. In WCE, 2007.
[6] Chi-Chang Chen, Chi-Yu Chang, and Yan-Nong Li. Range-free localization scheme in
wireless sensor networks based on bilateration. International Journal of Distributed
Sensor Networks, 2012.
[7] Cheng-Chung Kao. Ecient localization in radio interferometric positioning system.
Master′s thesis, Department of Computer Science and Information Engineering, National
Central University, Taiwan, January 2014.
[8] Deepak Kapgate. Wireless streetlight control system. In International Journal of
Computer Applications, volume 41, March 2012.
25
[9] R. Manzoor. Energy ecient localization in wireless sensor networks using noisy
measurements. Master′s thesis, 2010.
[10] M. Maroti, B. Kusy, G. Balogh, P. Volgyesi, A. Nadas, K. Molnar, S. Dora, and
A. Ledeczi. Radio interferometric geolocation. In in Proc. ACM 3rd Conference on
Embedded Networked Sensor Systems (SenSys′05), November 2005.
[11] Avinash More. A test-bed for habitat monitoring system using wi- in wireless sensor
networks. In 2015 IEEE International Conference on Computational Intelligence and
Computing Research (ICCIC), pages 1 { 6, Dec 2015.
[12] Mohsin Murad, Adil A. Sheikh, Muhammad Asif Manzoor, Emad Felemban, and
Saad Qaisar. A survey on current underwater acoustic sensor network applications. In
International Journal of Computer Theory and Engineering, Vol. 7, No. 1, February
2015, volume 7, February 2015.
[13] Dragos Niculescu and Badri Nath. Ad hoc positioning system (aps). In IEEE
GLOBECOM, 2001.
[14] S. Qureshi, A. Asar, A. Rehman, and A. Baseer. Swarm intelligence based detection
of malicious beacon node for secure localization in wireless sensor networks. Journal
of Emerging Trends in Engineering and Applied Sciences, 2011.
[15] Muhammad Saqib. Trac control system using wireless sensor network. In Advanced
Communication Technology (ICACT), 2010 The 12th International Conference on,
volume 1, pages 352 { 357. IEEE, Feb. 2012.
[16] B. F. La Scala, X. Wang, and B. Moran. Node self-localisation in large scale sensor
26
networks. In in International Conference on Information, Decision and Control (IDC
2007), pages 188 { 192, 2007.
[17] T.He, C. Huang, B.M. Blum, J.A. Stankovic, and T. Abdelzaher. Range-free localization
schemes for large scale sensor networks. In in Proceedings of the 9th ACM Annual
International Conference on Mobile Computing and Networking (MobiCom03), pages
81 { 95, 2003.
[18] Xuezhi Wang, Bill Moran, and Marcus Brazil. Hyperbolic positioning using rips
measurements for wireless sensor networks. pages 425 { 430, 2007.
[19] Arie Yeredor. Decentralized toa-based localization in non-synchronized wireless networks
with partial, asymmetric connectivity. In IEEE SPAWC, 2014.
[20] A. Youssef and M. Youssef. Ataxonomy of localization schemes for wireless sensor
networks. In ICWN, pages 444 { 450, 2007. |