SHORT PAPER: Data-Aware Clustering for Geosensor Networks Data Collection.

Referências

• Assunção, R.M., Neves, M.C., Câmara, G. and Freitas, C.C. Efficient regionalisation techniques for socio-economic geographical units using minimum spanning trees.. International Journal of Geographical Information Science, 20 (7). 797–811, 2006.

• Chu, D., Deshpande, A., Hellerstein, J.M. and Hong, W. Approximate Data Collection in Sensor Networks using Probabilistic Models. In International Conference on Data Engineering, (Atlanta, GA, 2006)

• Goldin, D. .Faster In-Network Evaluation of Spatial Aggregation in Sensor Networks. In Int’l IEEE Conference On Data Engineering (Atlanta, GA, 2006).

• Heinzelman, W.B., Chandrakasan, A. and Balakrishnan, H. An Application-Specific Protocol Architecture for Wireless Microsensor Networks.IEEE Transactions On Wireless Communications, 1 (4). 660–670, 2002.

• Madden, S., Franklin, M.J., Hellerstein, J.M. and Hong, W. Tag: a tiny aggregation service for ad-hoc sensor networks. In SIGOPS Operating Systems Review, (2002), 31–46.

• Tilak, S., Abu-Ghazaleh, N.B. and Heinzelman, W. A taxonomy of wireless micro-sensor network models. In ACM Workshop on Wireless Security, (2002), 28 – 36.

• Tulone, D. and Madden, S. PAQ: Time Series Forecasting For Approximate Query Answering In Sensor Networks. Lecture Notes in Computer Science (3868). 21–37, 2006.

Data-Aware Clustering for Geosensor Networks Data Collection.

Referências

• Assunção, R.M., Neves, M.C., Câmara, G. and Freitas, C.C. Efficient regionalisation techniques for socio-economic geographical units using minimum spanning trees.. International Journal of Geographical Information Science, 20 (7). 797–811, 2006.

• Biagioni, E.; Bridges, K. The application of remote sensor technology to assist the recovery of rare and endangered species. International Journal of High Performance Computing Applications, v. 16, n.3, 2002. [Biagioni_Bridges_2004]

• Chu, D., Deshpande, A., Hellerstein, J.M. and Hong, W. Approximate Data Collection in Sensor Networks using Probabilistic Models. In International Conference on Data Engineering, (Atlanta, GA, 2006)

• Culler, D.; Estrin, D.; Srivastava, M. Overview of Sensor Networks. IEEE Computer, v. 37, n.8, p. 41 - 49, 2004.

• Elson, J.; Estrin, D. Sensor networks : a bridge to the physical world. In: Raghavendra, C. S.; Sivalingam, K. M.; Znati, T., eds., Wireless Sensor Networks, Kluwer, 2004.

Envisense-Secoas, Self-organizing Collegiate Sensor Networks, http://envisense.org/secoas.htm.

• Goldin, D. Faster In-Network Evaluation of Spatial Aggregation in Sensor Networks. In Int’l IEEE Conference On Data Engineering (Atlanta, GA, 2006).

• Henzelman, W.B., Chandrakasan, A. and Balakrishnan, H. An Application-Specific Protocol Architecture for Wireless Microsensor Networks.IEEE Transactions On Wireless Communications, 1 (4). 660–670, 2002.

• Madden, S., Franklin, M.J., Hellerstein, J.M. and Hong, W. Tag: a tiny aggregation service for ad-hoc sensor networks. In SIGOPS Operating Systems Review, (2002), 31–46.

• Mainwaring, A.; Polastre, J.; Szewczyk, R.; Culler, D.; Anderson, J. Wireless Sensor Networks for Habitat Monitoring. In: ACM International Workshop on Wireless Sensor Networks and Applications. Atlanta, EUA, 2002. p. 88 – 97.

• Martinez, K.; Hart, J. K.; Ong, R. Environmental Sensor Networks. IEEE Computer, v. 37, n.8, p. 50 - 56, 2004.

• Nittel, S.; Stefanidis, A., 2005. GeoSensor Networks and Virtual GeoReality. In: Nittel, S., Stefanidis, A., ed., GeoSensors Networks, CRC Press, p. 296.

• Tilak, S., Abu-Ghazaleh, N.B. and Heinzelman, W. A taxonomy of wireless micro-sensor network models. In ACM Workshop on Wireless Security, (2002), 28 – 36.

• Tulone, D. and Madden, S. PAQ: Time Series Forecasting For Approximate Query Answering In Sensor Networks. Lecture Notes in Computer Science (3868). 21–37, 2006.

• Warneke, B.; Last, M.; Liebowitz, B.; Pister, K. S. J. Smart Dust: Communicating with a Cubic-Millimeter Computer. Computer, v. vol. 34, n.1, p. 44 – 51, 2001. [ ]

• Xu, N. A Survey of Sensor Network Applications. IEEE Communications Magazine, v. 40, n.8, p. 102 – 114, 2002.