The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.
Node clustering in wireless sensor networks: recent developments and deployment challenges
Abstract
The large-scale deployment of wireless sensor networks (WSNs) and the need for data aggregation necessitate efficient organization of the network topology for the purpose of balancing the load and prolonging the network lifetime. Clustering has proven to be an effective approach for organizing the network into a connected hierarchy. In this article, we highlight the challenges in clustering a WSN, discuss the design rationale of the different clustering approaches, and classify the proposed approaches based on their objectives and design principles. We further discuss several key issues that affect the practical deployment of clustering techniques in sensor network applications.
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Cites
An application-specific protocol architecture for wireless microsensor networks
Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2002.804190 · Cited by 10,565
HEED: a hybrid, energy-efficient, distributed clustering approach for ad hoc sensor networks
Younis, O., & Fahmy, S. (2004) · IEEE Transactions on Mobile Computing · doi:10.1109/tmc.2004.41 · Cited by 5,025
Self-citationGeography-informed energy conservation for Ad Hoc routing
Xu, Y., Heidemann, J., & Estrin, D. (2001) · Proceedings of the 7th annual international conference on Mobile computing and networking · doi:10.1145/381677.381685 · Cited by 2,833
Critical Power for Asymptotic Connectivity in Wireless Networks
Gupta, P., & Kumar, P. R. (1999) · Stochastic Analysis, Control, Optimization and Applications · doi:10.1007/978-1-4612-1784-8_33 · Cited by 1,137
Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach
Younis, O., & Fahmy, S. (2004) · IEEE INFOCOM 2004 · doi:10.1109/infcom.2004.1354534 · Cited by 1,093
Self-citationChen, B., Jamieson, K., Balakrishnan, H., & Morris, R. (2002) · Wireless Networks · doi:10.1023/a:1016542229220 · Cited by 1,071
Max-min d-cluster formation in wireless ad hoc networks
Amis, A. D., Prakash, R., Vuong, T. H. P., & Huynh, D. T. (2002) · IEEE Conference on Computer Communications (INFOCOM) · doi:10.1109/infcom.2000.832171 · Cited by 985
A clustering scheme for hierarchical control in multi-hop wireless networks
Banerjee, S., & Khuller, S. (2002) · doi:10.1109/infcom.2001.916296 · Cited by 551
ACE: An Emergent Algorithm for Highly Uniform Cluster Formation
Chan, H., & Perrig, A. (2004) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-24606-0_11 · Cited by 376
Critical power for asymptotic connectivity
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Cited by
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R. H., Morrow, M. J., & Polakos, P. A. (2018) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2017.2771153 · Cited by 1,022
Cheng, H. T., Shan, H., & Zhuang, W. (2011) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2010.11.009 · Cited by 273
Metadata
- Authors
- Younis, O., Krunz, M., & Ramasubramanian, S.
- Venue
- IEEE Network
- Published
- 2006-05
- Volume
- 20
- Issue
- 3
- Pages
- 20-25
- ISSN
- 0890-8044 (ISSN-L)
- OpenAlex
- W1977752700
- Cited by
- 721
- References
- 11
- FWCI
- 55.12
- Type
- journal article
- Language
- en
- Open access
- closed
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