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Sequential Monte Carlo Localization Methods in Mobile Wireless Sensor Networks: A Review
Joint Authors
Abdul Wahab, Ainuddin Wahid
Adil Mahdi, Omar
Idris, Mohd Yamani Idna
Abu Znaid, Ammar
Khamis Qabajeh, Liana
Source
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-19, 19 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-04-03
Country of Publication
Egypt
No. of Pages
19
Main Subjects
Abstract EN
The advancement of digital technology has increased the deployment of wireless sensor networks (WSNs) in our daily life.
However, locating sensor nodes is a challenging task in WSNs.
Sensing data without an accurate location is worthless, especially in critical applications.
The pioneering technique in range-free localization schemes is a sequential Monte Carlo (SMC) method, which utilizes network connectivity to estimate sensor location without additional hardware.
This study presents a comprehensive survey of state-of-the-art SMC localization schemes.
We present the schemes as a thematic taxonomy of localization operation in SMC.
Moreover, the critical characteristics of each existing scheme are analyzed to identify its advantages and disadvantages.
The similarities and differences of each scheme are investigated on the basis of significant parameters, namely, localization accuracy, computational cost, communication cost, and number of samples.
We discuss the challenges and direction of the future research work for each parameter.
American Psychological Association (APA)
Abu Znaid, Ammar& Idris, Mohd Yamani Idna& Abdul Wahab, Ainuddin Wahid& Khamis Qabajeh, Liana& Adil Mahdi, Omar. 2017. Sequential Monte Carlo Localization Methods in Mobile Wireless Sensor Networks: A Review. Journal of Sensors،Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1186819
Modern Language Association (MLA)
Abu Znaid, Ammar…[et al.]. Sequential Monte Carlo Localization Methods in Mobile Wireless Sensor Networks: A Review. Journal of Sensors No. 2017 (2017), pp.1-19.
https://search.emarefa.net/detail/BIM-1186819
American Medical Association (AMA)
Abu Znaid, Ammar& Idris, Mohd Yamani Idna& Abdul Wahab, Ainuddin Wahid& Khamis Qabajeh, Liana& Adil Mahdi, Omar. Sequential Monte Carlo Localization Methods in Mobile Wireless Sensor Networks: A Review. Journal of Sensors. 2017. Vol. 2017, no. 2017, pp.1-19.
https://search.emarefa.net/detail/BIM-1186819
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1186819