A State-Based Programming Model for Wireless Sensor Networks

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186 Bibliography [60] Jason Lester Hill. System architecture for wireless sensor networks. PhD thesis, University of California, Berkeley, 2003. [61] Seth Edward-Austin Hollar. Cots dust, large scale models for smart dust. Master’s thesis, University of California, Berkeley, 2000. [62] Lars Erik Holmquist, Friedemann Mattern, Bernt Schiele, Petteri Alahuhta, Michael Beigl, and Hans-W. Gellersen. Smart-its friends: A technique for users to easily establish connections between smart artefacts. In Proc. Ubicomp 2001, pages 116–122, Atlanta, USA, September 2001. Springer-Verlag. [63] ARGO Homepage. Web page. Visited 2007-08-03. Available from: http: //www.argo.ucsd.edu/. [64] Wen Hu, Van Nghia Tran, Nirupama Bulusu, Chun Tung Chou, Sanjay Jha, and Andrew Taylor. The design and evaluation of a hybrid sensor network for Cane-toad monitoring. In IPSN ’05 [5], page 71. [65] J. P. Hubaux, Th. Gross, J. Y. Le Boudec, and M. Vetterli. Towards selforganized mobile ad hoc networks: the Terminodes project. IEEE Communications Magazine, 31(1):118–124, 2001. [66] Clinton Kelly IV, Virantha Ekanayake, and Rajit Manohar. Snap: A sensornetwork asynchronous processor. In ASYNC ’03: Proceedings of the 9th International Symposium on Asynchronous Circuits and Systems, page 24. IEEE Computer Society, 2003. [67] Philo Juang, Hidekazu Oki, Yong Wang, Margaret Martonosi, Li-Shiuan Peh, and Daniel Rubenstein. Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet. In ASPLOS- X: Proceedings of the 10th international conference on Architectural support for programming languages and operating systems, pages 96–107, San Jose, California, USA, October 2002. ACM Press. [68] J. M. Kahn, R. H. Katz, and Kristofer S. J. Pister. Emerging challenges: Mobile networking for smart dust. Journal of Communications and Networks, 2(3):188–196, September 2000. [69] Cornelia Kappler and Georg Riegel. A real-world, simple wireless sensor network for monitoring electrical energy consumption. In Karl et al. [71], pages 339–352. [70] Holger Karl and Andreas Willig. Protocols and Architectures for Wireless Sensor Networks. John Wiley & Sons, April 2005. [71] Holger Karl, Andreas Willig, and Adam Wolisz, editors. Wireless Sensor Networks, First European Workshop, EWSN 2004, Berlin, Germany, January 19-21, 2004, Proceedings, volume 2920 of Lecture Notes in Computer Science (LNCS), Berlin, Germany, January 2004. Springer-Verlag.
Bibliography 187 [72] Oliver Kasten. Programming wireless sensor nodes—a state-based model for complex applications. GI/ITG KuVS Fachgespräch Systemsoftware für Pervasive Computing, Universiät Stuttgart, Germany, October, 14-15 2004. [73] Oliver Kasten and Marc Langheinrich. First Experiences with Bluetooth in the Smart-Its Distributed Sensor Network. In Workshop on Ubiqitous Computing and Communication, PACT 2001, October 2001. [74] Oliver Kasten and Kay Römer. Beyond Event Handlers: Programming Wireless Sensors with Attributed State Machines. In IPSN ’05 [5], pages 45–52. [75] Tae-Hyung Kim and Seongsoo Hong. State machine based operating system architecture for wireless sensor networks. In Parallel and Distributed Computing: Applications and Technologies : 5th International Conference, PD- CAT, LNCS 3320, pages 803–806, Singapore, December 2004. Springer- Verlag. [76] I3S Laboratory. Syncchart. Web page. Visited 2007-03-10. Available from: http://www.i3s.unice.fr/sports/SyncCharts/. [77] Edward A. Lee. What’s ahead for embedded software? Computer, 33(9):18–26, 2000. [78] Martin Leopold, Mads Bondo Dydensborg, and Philippe Bonnet. Bluetooth and sensor networks: a reality check. In SenSys ’03 [2], pages 103– 113. [79] Philip Levis and David E. Culler. Maté: A tiny virtual machine for sensor networks. ACM SIGOPS Operating Systems Review, 36(5):85–95, December 2002. [80] J. Liu, M. Chu, J. Reich, and F. Zhao. State-centric programming for sensoractuator network systems. Pervasive Computing, IEEE, 2(4):50–62, 2003. [81] Ting Liu, Christopher M. Sadler, Pei Zhang, and Margaret Martonosi. Implementing software on resource-constrained mobile sensors: experiences with Impala and ZebraNet. In MobiSys 2004 [3], pages 256–269. [82] AXONN LLC. AXTracker. Web page. Visited 2005-10-01. Available from: http://www.axtracker.com/. [83] S. R. Madden, M. J. Franklin, J. M. Hellerstein, and W. Hong. Tag: a tiny aggregation service for ad-hoc sensor networks. In OSDI 2002, Boston, USA, December 2002. [84] Samuel Madden, Michael J. Franklin, Joseph M. Hellerstein, and Wei Hong. The design of an acquisitional query processor for sensor networks. In SIGMOD ’03: Proceedings of the 2003 ACM SIGMOD international conference on Management of data, pages 491–502, New York, NY, USA, June 2003. ACM Press.
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ii The main idea behind OSM is to e
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120 Chapter 7. State-based Programm
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Page 168 and 169: 158 Appendix A. OSM Code Generation
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Page 192 and 193: 182 Bibliography [11] Charles Andr
Page 194 and 195: 184 Bibliography [36] Cormac Duffy,
Page 198 and 199: 188 Bibliography [85] Alan Mainwari
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