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Progetto e valutazione di algoritmi per la raccolta dati affidabili su reti di sensori senza cavo [29] J. Elson, S. Bien, N. Busek, V. Bychkovskiy, A. Cerpa, D. Ganesan, L. Girod, B. Greenstein, T. Schoellhammer, T. Stathopoulos, D. Estrin, 2003 “Emstar: an environment for developing wireless embedded systems software” [30] L. Girod, J. Elson, A. Cerpa, T. Stathopoulos, Nithya Ramanathan, D. Estrin “Emstar: a software environment for developing and deploying wireless sensor networks” [31] Jonathan Polley, Dionysys Blazakis, Jonathan McGee, Dan Rusk, John S. Baras “Atemu: a fine-grained sensor network simulator”. [32] Ben L. Titzer, Daniel K. Lee, Jens Palsberg “Avrora: scalable sensor network simulation with precise timing”. [33] ISI. The network simulator 2 ns-2. http://www.isi.edu/nsnam/nsidenx.html, 2002. [34] Xiang Zeng, Rajive Bagrodia, and Mario Gerla. Glomosim: A library for parallel simulation of large-scale wireless networks. In Workshop on Parallel and Distributed Simulation, pages 154–161, 1998. [35] Y. Huang, J. Huang, L. Hester, A. Allen, O. Andric, P. Chen, and B. O’Dea. Opnet simulation of a multi-hop self-organizing wireless sensor network. [36] A. Savvides S. Park and M. B. Srivastava. Sensorsim: a simulation framework for sensor networks. In Proceedings of the 3rd ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems, pages 104–111, Boston, MA USA. [37] Ahmed Sobeih, Wei-Peng Chen, Jennifer C. Hou, Lu-Chuan Kung, Ning Li, Hyuk Lim, Hung-Ying Tyan, Honghai Zhang “J-Sim: a simulation and emulation environment for wireless sensor networks” [38] Claudio Basile, Zbigniew Kalbarczyk, and Ravi K. Iyer. Neutralization of errors and attacks in wireless ad hoc networks. In International Conference on Dependable Systems and Networks(DSN), 2005. [39] S. Shakkottai, R. Srikant, and N. Shroff. Unreliable sensor grids: Coverage, connectivity and diameter. In IEEE INFOCOM2003, pages 241–250, 2003. [40] D. Bein, V. Jolly, B. Kumar, and S. Latifi. Reliability modeling in wireless sensor networks. International Journal of Information Technology, Vol. 11 No. 2, 2004. [41] Hosam M. F. AboElFotoh, S. S. Iyengar, and Krishnendu Chakrabarty. Computing reliability and message delay for cooperative wireless distributed sensor networks subject to random failures. IEEE TRANSACTIONS ON RELIABILITY, 54(1), MARCH 2005. [42] G. Gupta and M. Younis. Fault-tolerant clustering of wireless sensor networks. IEEE, 2003. [43] Jae-Joon Lee, Bhaskar Krishnamachari, and C.-C. Jay Kuo. Impact of energy depletion and reliability on wireless sensor network connectivity, 2005. 111
Progetto e valutazione di algoritmi per la raccolta dati affidabili su reti di sensori senza cavo [44] S. Lindsey and C. S. Raghavendra. PEGASIS: Power-efficient gathering in sensor information systems. In Proceedings of the IEEE Aerospace Conference, March 2002. [45] L. Subramanian and R.H. Katz, “An architecture for building self-configurable systems”, Proceedings of the 1st ACM international symposium on Mobile ad hoc networking and computing, pp. 63–73, Boston, MA, USA, 2000. [46] C. V. Ramamoorthy, A. Bhide, and J. Srivastava, “Reliable clustering techniques for large, mobile packet radio networks”, Proceedings of the 6 th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM ’87), San Francisco, CA, USA, 1:218–226, 31 March–2 April 1987. [47] R. Krishnan and D. Starobinski, Efficient clustering algorithms for self organizing wireless sensor networks,. Ad Hoc Networks, vol. 4, no. 1, pp. 36.59, January 2006. [48] Leonidas Tzevelekas, Ziviani Towards Potential-Based Clustering forWireless Sensor Networks CoNEXT’05, October 24.27, 2005, Toulouse, France. [49] Malka Halgamuge, Siddeswara Mayura Guru and Andrew Jennings; Energy efficient Cluster Formation in wireless sensor networks, International conference on telecommunications ICT 2003, IEEE Press. [50] Yuon Guo, Janise Mcnair, Cost Efficient Cluster Formation for wireless sensor networks, Proc. of CITSA 2004, Orlando, FL, July 2004. [51] Ossama Younis and Sonia Fahmy, HEED: A hybrid energy efficient, distributed clustering apparoach for Ad-hoc sensor networks, IEEE Transactions on Mobile Computing, Oct.-Dec. 2004, Volume: 3, Issue: 4, p.p. 366 - 379. [52] G. Gupta and M. Younis, Load-Balanced Clustering in Wireless Sensor Networks, IEEE International conference on communications, Anchorage, Alaska, 2003. [53] S. Banerjee and S. Khuller, A Clustering Scheme for Hierarchical Control in Multihop Wireless Networks, INFOCOM, 2001. [54] A. Antis, R. Prakash, T. Vuong, and D. Huynh, Max-Min d-Cluster Formation in Wireless Ad Hoc Networks, IEEE INFOCOM, 2000. [55] Y. Bejerano, Efficient Integration of Multihop Wireless and Wired Networks with QoS Constraints, IEEE/ACM Transactions on Networking, 2004. [56] B. Aoun, R. Boutaba, Clustering in WSN with latency and Energy Consumption constraints, Journal of Network and Systems Management, Vol. 14, No. 3, September 2006 [57] Mudasser Iqbal, Iqbal Gondal and Laurence Dooley An Energy-Aware Dynamic Clustering Algorithm for Load Balancing in Wireless Sensor Networks JOURNAL OF COMMUNICATIONS, VOL. 1, NO. 3, JUNE 2006 112
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a Facoltà di Ingegneria Corso di S
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INDICE INTRODUZIONE................
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INDICE DELLE FIGURE Figura 1.1: Arc
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Ringraziamenti Eccomi qua, alla fin
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Progetto e valutazione di algoritmi
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1.4 DESCRIZIONE DEI NODI SENSORI Pr
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Figura 1.6: Mica2DOT Progetto e val
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1.8.1 Sensori per Mica2 Progetto e
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1.9 APPLICAZIONI Progetto e valutaz
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o Sanità Progetto e valutazione di
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Capitolo 2 Affidabilità nelle reti
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� Security Progetto e valutazione
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aereo). Progetto e valutazione di a
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Page 67 and 68: Progetto e valutazione di algoritmi
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