How to cite this paper
Mirhadi, P., Zandinia, S., Goodarzipour, A., Salimi, S & Goodarzipour, H. (2013). IP2P K-means: an efficient method for data clustering on sensor networks.Management Science Letters , 3(3), 967-972.
Refrences
Aioffi, W.M., Valle, C.A., Mateus, G.R., & da Cunha, A. S. (2011). Balancing message delivery
latency and network lifetime through an integrated model for clustering and routing in Wireless
Sensor Networks. Computer Networks 55(13), 2803-2820.
Akkaya, K., Senel, F., & McLaughlan, B. (2009). Clustering of wireless sensor and actor networks
based on sensor distribution and connectivity. Journal of Parallel and Distributed Computing,
69(6), 573-587.
Bajaber, F., & Awan, I. (2011). Adaptive decentralized re-clustering protocol for wireless sensor
networks. Journal of Computer and System Sciences, 77(2), 282-292.
Bandyopadhyay, S., Giannella, C., Maulik, U., Kargupta, H., Liu, K., & Datta, S. (2006). Clustering
distributed data streams in peer-to-peer environments. Information Sciences, 176(14), 1952-1985.
Bhardwaj, M., Soni, S., & Kotary, D.K. (2012). Comparative Analysis of Energy Efficient Routing
Protocol for Wireless Sensor Network. International Journal of Computer Applications, 1, 65-59.
ChitraDevia, N., V. Palanisamy, et al. (2012). A Novel Distance for Clustering to Support Mixed
Data Attributes and Promote Data Reliability and Network Lifetime in Large Scale Wireless
Sensor Networks. International Conference on Communication Technology and System Design
2011 - Procedia Engineering.
Khalil, E. A., & Attea, B.A. (2011). Energy-aware evolutionary routing protocol for dynamic
clustering of wireless sensor networks. Swarm and Evolutionary Computation 1(4), 195-203.
Liu, T., & Li, Q. (2012). An energy-balancing clustering approach for gradient-based routing in
wireless sensor networks. Computer Communications, 35(17), 2150-2161.
Modha, D. S., & Spangler, W.S. (2003). Feature Weighting in k-Means Clustering. Machine
Learning 52(3), 217-237.
Ribas, A.D., Colonna, J.G., Figueiredo, C.M.S., & Nakamura, E.F. (2012). Similarity clustering for
data fusion in Wireless Sensor Networks using k-means. The 2012 International Joint Conference
on Neural Networks (IJCNN). Communication, Networking & Broadcasting ; Components,
Circuits, Devices & Systems ; Computing & Processing (Hardware/Software) ; Engineered
Materials, Dielectrics & Plasmas ; Fields, Waves & Electromagnetics ; Robotics & Control
Systems, 1-7, doi: 10.1109/IJCNN.2012.6252430
Schaffer, P., Farkas, K., Horv?th, A., Holczer, T. & Butty?n, L. (2012). Secure and reliable
clustering in wireless sensor networks: A critical survey. Computer Networks, 56(11), 2726-2741.
Da Silva, A., Chiky, R., & Hébrail, G. (2012). A clustering approach for sampling data streams in
sensor networks. Knowledge and Information Systems 32(1), 1-23.
Wei, H., Chen, L., & Zhang, Y. (2012). Expected number of Cluster Members clustering algorithm in
wireless sensor networks. Systems and Informatics (ICSAI), 2012 International Conference on
Communication, Networking & Broadcasting ; Components, Circuits, Devices & Systems ;
Computing & Processing (Hardware/Software) ; Power, Energy, & Industry Applications, 1381 -
1384. DOI: 10.1109/ICSAI.2012.6223293
latency and network lifetime through an integrated model for clustering and routing in Wireless
Sensor Networks. Computer Networks 55(13), 2803-2820.
Akkaya, K., Senel, F., & McLaughlan, B. (2009). Clustering of wireless sensor and actor networks
based on sensor distribution and connectivity. Journal of Parallel and Distributed Computing,
69(6), 573-587.
Bajaber, F., & Awan, I. (2011). Adaptive decentralized re-clustering protocol for wireless sensor
networks. Journal of Computer and System Sciences, 77(2), 282-292.
Bandyopadhyay, S., Giannella, C., Maulik, U., Kargupta, H., Liu, K., & Datta, S. (2006). Clustering
distributed data streams in peer-to-peer environments. Information Sciences, 176(14), 1952-1985.
Bhardwaj, M., Soni, S., & Kotary, D.K. (2012). Comparative Analysis of Energy Efficient Routing
Protocol for Wireless Sensor Network. International Journal of Computer Applications, 1, 65-59.
ChitraDevia, N., V. Palanisamy, et al. (2012). A Novel Distance for Clustering to Support Mixed
Data Attributes and Promote Data Reliability and Network Lifetime in Large Scale Wireless
Sensor Networks. International Conference on Communication Technology and System Design
2011 - Procedia Engineering.
Khalil, E. A., & Attea, B.A. (2011). Energy-aware evolutionary routing protocol for dynamic
clustering of wireless sensor networks. Swarm and Evolutionary Computation 1(4), 195-203.
Liu, T., & Li, Q. (2012). An energy-balancing clustering approach for gradient-based routing in
wireless sensor networks. Computer Communications, 35(17), 2150-2161.
Modha, D. S., & Spangler, W.S. (2003). Feature Weighting in k-Means Clustering. Machine
Learning 52(3), 217-237.
Ribas, A.D., Colonna, J.G., Figueiredo, C.M.S., & Nakamura, E.F. (2012). Similarity clustering for
data fusion in Wireless Sensor Networks using k-means. The 2012 International Joint Conference
on Neural Networks (IJCNN). Communication, Networking & Broadcasting ; Components,
Circuits, Devices & Systems ; Computing & Processing (Hardware/Software) ; Engineered
Materials, Dielectrics & Plasmas ; Fields, Waves & Electromagnetics ; Robotics & Control
Systems, 1-7, doi: 10.1109/IJCNN.2012.6252430
Schaffer, P., Farkas, K., Horv?th, A., Holczer, T. & Butty?n, L. (2012). Secure and reliable
clustering in wireless sensor networks: A critical survey. Computer Networks, 56(11), 2726-2741.
Da Silva, A., Chiky, R., & Hébrail, G. (2012). A clustering approach for sampling data streams in
sensor networks. Knowledge and Information Systems 32(1), 1-23.
Wei, H., Chen, L., & Zhang, Y. (2012). Expected number of Cluster Members clustering algorithm in
wireless sensor networks. Systems and Informatics (ICSAI), 2012 International Conference on
Communication, Networking & Broadcasting ; Components, Circuits, Devices & Systems ;
Computing & Processing (Hardware/Software) ; Power, Energy, & Industry Applications, 1381 -
1384. DOI: 10.1109/ICSAI.2012.6223293