The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
A Survey of Localization in Wireless Sensor Network
Open accessAbstract
Localization is one of the key techniques in wireless sensor network. The location estimation methods can be classified into target/source localization and node self-localization. In target localization, we mainly introduce the energy-based method. Then we investigate the node self-localization methods. Since the widespread adoption of the wireless sensor network, the localization methods are different in various applications. And there are several challenges in some special scenarios. In this paper, we present a comprehensive survey of these challenges: localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network. Finally, we introduce the evaluation criteria for localization in wireless sensor network.
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Cites
Proceedings IEEE International Conference on Acoustics Speech and Signal Processing
Zheng, F., McLaughlin, S., & Mulgrew, B. (1991) · Cited by 1,906
Position-Location Solutions by Taylor-Series Estimation
FOY, W. (1976) · IEEE Transactions on Aerospace and Electronic Systems · doi:10.1109/taes.1976.308294 · Cited by 1,307
Cooperative Localization in Wireless Networks
Wymeersch, H., Lien, J., & Win, M. Z. (2009) · Proceedings of the IEEE · doi:10.1109/jproc.2008.2008853 · Cited by 1,182
Sheng, X., & Hu, Y.-H. (2005) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2004.838930 · Cited by 714
A survey of techniques and challenges in underwater localization
Tan, H.-P., Diamant, R., Seah, W. K. G., & Waldmeyer, M. (2011) · Ocean Engineering · doi:10.1016/j.oceaneng.2011.07.017 · Cited by 519
Localization With Mobile Anchor Points in Wireless Sensor Networks
Ssu, K.-F., Ou, C.-H., & Jiau, H. C. (2005) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2005.844642 · Cited by 461
Distributed Sensor Localization in Random Environments Using Minimal Number of Anchor Nodes
Khan, U. A., Kar, S., & Moura, J. M. F. (2009) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2009.2014812 · Cited by 351
Bias Reduction for an Explicit Solution of Source Localization Using TDOA
Ho, K. C. (2012) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2012.2187283 · Cited by 348
Decision theoretic framework for NLOS identification
Borras, J., Hatrack, P., & Mandayam, N. B. (2002) · IEEE Vehicular Technology Conference · doi:10.1109/vetec.1998.686556 · Cited by 301
Energy-based sensor network source localization via projection onto convex sets
Blatt, D., & Hero, A. O. (2006) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2006.879312 · Cited by 295
Cited by
Cyberphysical Security for Industrial Control Systems Based on Wireless Sensor Networks
Lu, T., Guo, X., Li, Y., Peng, Y., Zhang, X., Xie, F., & Gao, Y. (2014) · International Journal of Distributed Sensor Networks · doi:10.1155/2014/438350 · Cited by 31
Metadata
- Authors
- Cheng, L., Wu, C., Zhang, Y., Wu, H., Li, M., & Maple, C.
- Venue
- International Journal of Distributed Sensor Networks
- Publisher
- SAGE Publications
- Published
- 2012-12-20
- Volume
- 8
- Issue
- 12
- Pages
- 962523
- ISSN
- 1550-1329 (ISSN-L)
- 1550-1477
- OpenAlex
- W2014477168
- Cited by
- 261
- References
- 30
- FWCI
- 11.39
- Type
- journal article
- Language
- en
- Open access
- gold
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