The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Spatial correlation-based collaborative medium access control in wireless sensor networks
Abstract
Wireless Sensor Networks (WSN) are mainly characterized by dense deployment of sensor nodes which collectively transmit information about sensed events to the sink. Due to the spatial correlation between sensor nodes subject to observed events, it may not be necessary for every sensor node to transmit its data. This paper shows how the spatial correlation can be exploited on the Medium Access Control (MAC) layer. To the best of our knowledge, this is the first effort which exploits spatial correlation in WSN on the MAC layer. A theoretical framework is developed for transmission regulation of sensor nodes under a distortion constraint. It is shown that a sensor node can act as a representative node for several other sensor nodes observing the correlated data. Based on the theoretical framework, a distributed, spatial Correlation-based Collaborative Medium Access Control (CC-MAC) protocol is then designed which has two components: Event MAC (E-MAC) and Network MAC (N-MAC). E-MAC filters out the correlation in sensor records while N-MAC prioritizes the transmission of route-thru packets. Simulation results show that CC-MAC achieves high performance in terms energy, packet drop rate, and latency.
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Cites
Wireless sensor networks: a survey
Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002) · Computer Networks · doi:10.1016/s1389-1286(01)00302-4 · Cited by 17,418
Self-citationAn Algorithm for Vector Quantizer Design
Linde, Y., Buzo, A., & Gray, R. (1980) · IEEE Transactions on Communications · doi:10.1109/tcom.1980.1094577 · Cited by 7,201
Dynamic fine-grained localization in Ad-Hoc networks of sensors
Savvides, A., Han, C.-C., & Strivastava, M. B. (2001) · Proceedings of the 7th annual international conference on Mobile computing and networking · doi:10.1145/381677.381693 · Cited by 2,694
Coverage problems in wireless ad-hoc sensor networks
Meguerdichian, S., Koushanfar, F., Potkonjak, M., & Srivastava, M. B. (2002) · Proceedings IEEE INFOCOM 2001. Conference on Computer Communications. Twentieth Annual Joint Conference of the IEEE Computer and Communications Society (Cat. No.01CH37213) · doi:10.1109/infcom.2001.916633 · Cited by 1,694
Energy-efficient collision-free medium access control for wireless sensor networks
Rajendran, V., Obraczka, K., & Garcia-Luna-Aceves, J. J. (2003) · Proceedings of the 1st international conference on Embedded networked sensor systems · doi:10.1145/958491.958513 · Cited by 1,071
An adaptive energy-efficient MAC protocol for wireless sensor networks
van Dam, T., & Langendoen, K. G. (2003) · doi:10.1145/958511.958512 · Cited by 897
Principles of Mobile Communication
Nikolić, Z. (2001) · Microelectronics Journal · doi:10.1016/s0026-2692(01)00119-7 · Cited by 856
Spatio-temporal correlation: theory and applications for wireless sensor networks
Vuran, M. C., Akan, Ö. B., & Akyildiz, I. F. (2004) · Computer Networks · doi:10.1016/j.comnet.2004.03.007 · Cited by 670
Self-citationDistributed compression in a dense microsensor network
Pradhan, S. S., Kusuma, J., & Ramchandran, K. (2002) · IEEE Signal Processing Magazine · doi:10.1109/79.985684 · Cited by 537
Objective Bayesian Analysis of Spatially Correlated Data
Berger, J. O., De Oliveira, V., & Sansó, B. (2001) · Journal of the American Statistical Association · doi:10.1198/016214501753382282 · Cited by 469
Cited by
Energy conservation in wireless sensor networks: A survey
Anastasi, G., Conti, M., Di Francesco, M., & Passarella, A. (2009) · Ad Hoc Networks · doi:10.1016/j.adhoc.2008.06.003 · Cited by 2,583
Hughes, L., Wang, X., & Chen, T. (2012) · Sensors · doi:10.3390/s121114730 · Cited by 71
Metadata
- Authors
- Vuran, M. C., & Akyildiz, I. F.
- Venue
- IEEE/ACM Transactions on Networking
- Published
- 2006-04
- Volume
- 14
- Issue
- 2
- Pages
- 316-329
- ISSN
- 1063-6692 (ISSN-L)
- OpenAlex
- W72544540
- Cited by
- 446
- References
- 13
- FWCI
- 42.73
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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