Energy modeling of processors in wireless sensor networks based on petri nets

Proceedings of the International Conference on Parallel Processing Workshops

Volumn , Issue , 2008, Pages 129-134

  Shareef, Ali ^a   Zhu, Yifeng ^a  

^a University of Maine   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ELECTRIC LOAD FORECASTING; GRAPH THEORY; HYBRID SENSORS; MARINE BIOLOGY; MARKOV PROCESSES; OPTIMIZATION; PETRI NETS; SENSOR NETWORKS; SENSORS; TECHNICAL PRESENTATIONS; WIRELESS TELECOMMUNICATION SYSTEMS;

CONSTANT DELAYS; ENERGY CONSUMPTIONS; ENERGY MODELING; LIFE-TIMES; MARKOV MODELS; MODELING TECHNIQUES; POWER MINIMIZATIONS; SUPPLEMENTARY VARIABLES;

WIRELESS SENSOR NETWORKS;

EID: 55749090413     PISSN: 15302016     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPP-W.2008.35     Document Type: Conference Paper

References (13)

1. TimeNET 4.0 A Software Tool for the Performability Evaluation with Stochastic and Colored Petri Nets, User Manual.
2. U. Cetintemel, A. Flinders, and Y. Sun. Power-efficient data dissemination in wireless sensor networks. In MobiDE, September 2003.
3. S. Coleri, M. Ergen, and T. J. Koo. Lifetime analysis of a sensor network with hybrid automata modeling. In WSNA '02: Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications, pages 98-104, New York, NY, USA, 2002. ACM.
4. D. R. Cox. The analysis of non-markovian stochastic processes by the inclusion of supplementary variables. Proceedings Cambridge Philosophical Society, 51(3):433-441, 1955.
5. R. German. Transient analysis of deterministic and stochastic petri nets by the method of supplementary variables. In MASCOTS '95: Proceedings of the 3rd International Workshop on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems, pages 394-398, Washington, DC, USA, 1995. IEEE Computer Society.
6. T. He, P. Vicaire, T. Yan, Q. Cao, G. Zhou, L. Gu, L. Luo, R. Stoleru, J. A. Stankovic, and T. F. Abdelzaher. Achieving long-term surveillance in vigilnet. In INFOCOM. IEEE, 2006.
7. D. Jung, T. Teixeira, A. Barton-Sweeney, and A. Savvides. Model-based design exploration of wireless sensor node lifetimes. In Proceedings of the Fourth European Conference on Wireless Sensor Networks. EWSN 2007, Jan. 2007.
8. S. Kellner, M.Pink, D. Meier, and E.-O. Blass. Towards a realistic energy model for wireless sensor networks. In Proceedings of IEEE Fifth Annual Conference on Wireless On demand Network Systems and Services, pages 97-100, January 2008.
9. S. Lee, A. Ermedahl, S. L. Min, and N. Chang. An accurate instruction-level energy consumption model for embedded risc processors. In Proceedings of the ACM SIGPLAN Workshop on Languages, Compilers, and Tools for Embedded Systems, pages 1-10, June 2001.
10. A. Mainwaring, J. Polastre, R. Szewczyk, D. Culler, and J. Anderson. Wireless sensor networks for habitat monitoring. In ACM International Workshop on Wireless Sensor Networks and Applications (WSNA'02), Atlanta, GA, September 2002.
11. M. Naedele. Petri net models for single processor real-time scheduling.
12. J. Polastre, R. Szewczyk, A. Mainwaring, D. Culler, and J. Anderson. Analysis of wireless sensor networks for habitat monitoring. In Wireless sensor networks, pages 399-423, Norwell, MA, USA, 2004. Kluwer Academic Publishers.
13. A. Zimmermann, M. Knoke, A. Huck, and G. Hommel. Towards version 4.0 of TimeNET. In 13th GI/ITG Conference on Measurement, Modeling, and Evaluation of Computer and Communication Systems (MMB), pages 477-480, Mar. 2006.