Modeling emergency events to evaluate the performance of time-critical WSNs

Proceedings - IEEE Symposium on Computers and Communications

Volumn , Issue , 2010, Pages 222-228

  Calafate, Carlos T ^a   Lino, Carlos ^a   Cano, Juan Carlos ^a   Manzoni, Pietro ^a  

^a UNIVERSITAT POLITÈCNICA DE VALÈNCIA   (Spain)

Author keywords

Event generator; Fire and gas propagation; Intruder tracking; Time critical events

Indexed keywords

ANALYTICAL MODEL; CRITICAL EVENTS; CRITICAL TASKS; DEGREE OF ACCURACY; DELAY BOUND; DISTRIBUTED ENVIRONMENTS; EVENT GENERATORS; INTRUDER DETECTION; INTRUDER TRACKING; NS-2 SIMULATORS; POTENTIAL CAPABILITY; REAL-TIME FEEDBACK; TIME EVENT;

MATHEMATICAL MODELS;

WIRELESS SENSOR NETWORKS;

EID: 77956520958     PISSN: 15301346     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISCC.2010.5546702     Document Type: Conference Paper

References (17)

1. IEEE 802.15.4 WG. IEEE Standard for Information technology- Telecommunications and information exchange between systems-Local and metropolitan area networks- Specific requirements Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (LR-WPANs). IEEE, 2006.
2. Jennifer Yick, Biswanath Mukherjee, and Dipak Ghosal. Wireless sensor network survey. Computer Networks, 52(12):2292-2330, 2008.
3. The Network Simulator, NS-2. [Online]. Available at: http://nsnam.isi. edu/nsnam/index.php/Main-Page.
4. J-Sim. [Online]. Available: http://sites.google.com/site/jsimofficial/.
5. R. Barr, Z. J. Haas, and R. van Renesse. JiST: Embedding Simulation Time into a Virtual Machine. In In Proc. 5th EUROSIM Congress on Modeling and Simulation, Paris, France, September 2004.
6. Ilker Demirkol, Fatih Alagoz, Hakan Delic, and Cem Ersoy. Wireless Sensor Networks for Intrusion Detection: Packet Traffic Modeling. IEEE Communication Letters, 10(1):22-24, 2006.
7. Olivier Dousse, Christina Tavoularis, and Patrick Thiran. Delay of intrusion detection in wireless sensor networks. In 7th ACM International Symposium on Mobile ad hoc networking and computing, Florence, Italy, 2006.
8. D. M. Doolin and N. Sitar. Wireless sensors for wildfire monitoring. In Sensors and smart structures technologies for civil, mechanical, and aerospace systems, San Diego, California, USA, 2005.
9. Y. Li, Z. Wang, and Y. Song. Wireless sensors network design for wildfire monitoring. In Proceedings of the 6th IEEE World Congress on Intelligent Control and Automation, San Diego, California, USA, 2006.
10. Robert E Scott, Joe H.; Burgan. Standard fire behavior fuel models: a comprehensive set for use with Rothermel's surface fire spread model. Gen. Tech. Rep. RMRS-GTR-153. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Research Station, 2005.
11. Tracy Camp, Jeff Boleng, and Vanessa Davies. A survey of mobility models for ad hoc network research. Wireless Communications and Mobile Computing, 2(5):483-502, 2002.
12. William Navidi and Tracy Camp. Stationary Distributions for the Random Waypoint Mobility Model. IEEE Transactions on Mobile Computing, 3(1):99-108, 2004.
13. Ronald G. Rehm. The Effects of Winds from Burning Structures On Ground-Fire Propagation at the Wildland-Urban Interface. Combustion Theory and Modelling, 12(3):477-496, 2008.
14. O. Parmhed. Large Eddy Simulation of Urban Dispersion. FOI report FOI-R-1441-S, December 2004.
15. Wataru Tsujita, Akihito Yoshino, Hiroshi Ishida, and Toyosaka Moriizumi. Gas sensor network for air-pollution monitoring. Sensors and Actuators B: Chemical, 110(2):304-311, 2005.
16. Baker Abdalhap. A Methodology to Enhance the Prediction of Forest Fire Propagation. PhD thesis, Universitat Autònoma de Barcelona, Spain, 2004. Available: http://www.tdx.cat/TDX-1124104-161420/.
17. Gnuplot. [Online]. Available: http://www.gnuplot.info/.