Integrated evaluation of reliability and power consumption of wireless sensor networks

Sensors (Switzerland)

Volumn 17, Issue 11, 2017, Pages

  Dâmaso, Antônio ^a   Rosa, Nelson ^a   Maciel, Paulo ^a  

^a FEDERAL UNIVERSITY OF PERNAMBUCO   (Brazil)

Author keywords

Formal models; Power consumption; Reliability; Sensitivity analysis; Wireless sensor networks

Indexed keywords

ELECTRIC POWER UTILIZATION; RELIABILITY; RELIABILITY ANALYSIS; SENSITIVITY ANALYSIS;

FORMAL MODEL; INTEGRATED EVALUATION; NETWORK STACK; POWER CONSUMPTION AWARE; RELIABILITY MODEL; WIRELESS SENSOR NETWORK (WSNS); WSN APPLICATIONS;

WIRELESS SENSOR NETWORKS;

EID: 85033370481     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s17112547     Document Type: Article

References (43)

1. Horvat G., Sostaric D., Zagar D. Power consumption and RF propagation analysis on ZigBee XBee modules for ATPC. In Proceedings of the 2012 35th International Conference on Telecommunications and Signal Processing (TSP), Prague, Czech, 3–4 July 2012; pp. 222–226.
2. Balouchestani, M.; Raahemifar, K.; Krishnan, S. Wireless Body Area Networks with compressed sensing theory. In Proceedings of the 2012 ICME International Conference on Complex Medical Engineering (CME), Kobe, Japan, 1–4 July 2012; pp. 364–369.
3. Kwon, H.; Kim, T.H.; Choi, S.; Lee, B.G. Cross-layer lifetime maximization under reliability and stability constraints in wireless sensor networks. In Proceedings of the 2005 IEEE International Conference on Communications, Seoul, Korea, 16–20 May 2005; Volume 5, pp. 3285–3289.
4. Zonouz, A.; Xing, L.; Vokkarane, V.; Sun, Y. A time-dependent link failure model for wireless sensor networks. In Proceedings of the 2014 Annual Reliability and Maintainability Symposium (RAMS), Colorado Springs, CO, USA, 27–30 January 2014; pp. 1–7.
5. Jensen, K.. Coloured Petri Nets: Basic Concepts, Analysis Methods and Practical Use; Springer: Berlin/Heidelberg, Germany, 1997.
6. Jensen, K.; Kristensen L.M.; Wells, L. Coloured Petri Nets and CPN Tools for Modelling and Validation of Concurrent Systems. Int. J. Softw. Tools Technol. Transf. 2007, 9, 213–254.
7. Jensen, K.; Kristensen, L. Coloured Petri Nets: Modelling and Validation of Concurrent Systems; Springer: Berlin/Heidelberg, Germany, 2009.
8. Venkatesan, L.; Shanmugavel, S.; Subramaniam, C. A Survey on Modeling and Enhancing Reliability of Wireless Sensor Network. Wirel. Sens. Netw. 2013, 2013, 41–51.
9. Hamby, D. A review of techniques for parameter sensitivity analysis of environmental models. Environ. Monit. Assess. 1994, 32, 135–154.
10. Desel, J.; Reisig, W. Place/transition Petri Nets. In Lectures on Petri Nets I: Basic Models; Reisig, W.,Rozenberg, G., Eds.; Springer: Berlin/Heidelberg, Germany, 1998; Volume 1491, pp. 122–173.
11. Murata, T. Petri nets: Properties, analysis and applications. Proc. IEEE 1989, 77, 541–580.
12. Westergaard, M.; Verbeek, H.E. CPN Tools. Available online: http://www.cpntools.org/ (accessed on 20 April 2015).
13. Henley, E.J.; Kumamoto, H. Reliability Engineering and Risk Assessment; Prentice-Hall: Englewood Cliffs, NJ, USA, 1981; Volume 193.
14. Jain, R. The Art of Computer Systems Performance Analysis; JohnWiley & Sons: Hoboken, NJ, USA, 1991; p. 720.
15. Project Group, T.W. Deliverable D4.1: First Set of Well-Designed Simulations, Experiments and Possible Benchmarks. Technical Report, The WISEBED Project Group, 14 June 2009. Available online: http://wisebed.eu/documents/deliverables/d4.1.pdf (accessed on 26 October 2017).
16. Dâmaso, A.; Freitas, D.; Rosa, N.; Silva, B.; Maciel, P. Evaluating the Power Consumption of Wireless Sensor Network Applications Using Models. Sensors 2013, 13, 3473–3500.
17. Heinzelman, W.; Chandrakasan, A.; Balakrishnan, H. Energy-efficient communication protocol for wireless microsensor networks. In Proceedings of the 33rd Annual Hawaii International Conference on System Sciences, Maui, HI, USA, 7 January 2000; Volume 2, p. 10.
18. Dâmaso, A.; Rosa, N.; Maciel, P. Using Coloured Petri Nets for Evaluating the Power Consumption of Wireless Sensor Networks. Int. J. Distrib. Sens. Netw. 2014, 10, 423537, doi:10.1155/2014/423537.
19. Kuo, W.; Zuo, M. Optimal Reliability Modeling: Principles and Applications; Wiley: Hoboken, NJ, USA, 2003.
20. Tavares, E.; Silva, B.; Maciel, P. An Environment for Measuring and Scheduling Time-Critical Embedded Systems with Energy Constraints. In Proceedings of the Sixth IEEE International Conference on Software Engineering and Formal Methods, Cape Town, South Africa, 10–14 November 2008; pp. 291–300.
21. Senouci, M.R.; Mellouk, A.; Senouci, H.; Aissani, A. Performance evaluation of network lifetime spatial-temporal distribution for {WSN} routing protocols. J. Netw. Comput. Appl. 2012, 35, 1317–1328.
22. Xu, K.; Hassanein, H.; Takahara, G. Relay node deployment strategies in heterogeneous wireless sensor networks: multiple-hop communication case. In Proceedings of the 2005 Second Annual IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks, Santa Clara, CA, USA, 26–29 September 2005; pp. 575–585.
23. Xu, K. Device Deployment Strategies for Large-scale Wireless Sensor Networks. PhD Thesis, Queen’s University, Kingston, ON, Canada, 2008. Available online: http://qspace.library.queensu.ca/handle/1974/987 (accessed on 26 October 2017).
24. Heinzelman, W.. Application-Specific Protocol Architectures for Wireless Networks. PhD Thesis, Massachusetts Institute of Technology, Cambridge, MA, USA, 2000.
25. Shareef, A.; Zhu, Y. Energy Modeling of Wireless Sensor Nodes Based on Petri Nets. In Proceedings of the 2010 39th International Conference on Parallel Processing, San Diego, CA, USA, 13–16 September 2010; pp. 101–110.
26. Shareef, A.; Zhu, Y. Effective Stochastic Modeling of Energy-Constrained Wireless Sensor Networks. J. Comput. Netw. Commun. 2012, 2012, 20.
27. Li, J.; Zhou, H.Y.; Zuo, D.C.; Hou, K.M.; Xie, H.P.; Zhou, P. Energy Consumption Evaluation forWireless Sensor Network Nodes Based on Queuing Petri Net. Int. J. Distrib. Sens. Netw. 2014, 10, 262848, doi:10.1155/2014/262848.
28. Wang, Y.; Vuran, M.C.; Goddard, S. Stochastic Analysis of Energy Consumption inWireless Sensor Networks. In Proceedings of the 2010 7th Annual IEEE Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks (SECON), Boston, MA, USA, 21–25 June 2010; pp. 1–9.
29. Bruneo, D.; Distefano, S.; Longo, F.; Puliafito, A.; Scarpa, M. EvaluatingWireless Sensor Node Longevity Through Markovian Techniques. Comput. Netw. 2012, 56, 521–532.
30. Kellner, S.; Pink, M.; Meier, D.; Blab, E.O. Towards a Realistic Energy Model for Wireless Sensor Networks. In Proceedings of the 2008 Fifth Annual Conference on Wireless on Demand Network Systems and Services, Garmisch-Partenkirchen, Germany, 23–25 January 2008; pp. 97–100.
31. Snajder, B.; Jelicic, V.; Kalafatic, Z.; Bilas, V. Wireless Sensor Node Modelling for Energy Efficiency Analysis in Data-intensive Periodic Monitoring. Ad Hoc Netw. 2016, 49, 29–41.
32. Gallina, L.; Marin, A.; Rossi, S.; Han, T.; Kwiatkowska, M. A Process Algebraic Framework for Estimating the Energy Consumption in Ad-hocWireless Sensor Networks. In Proceedings of the 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems; ACM: New York, NY, USA, 2013; pp. 255–262.
33. Elhoseny, M.; Tharwat, A.; Yuan, X.; Hassanien, A.E. Optimizing K-coverage of mobile WSNs. Expert Syst. Appl. 2018, 92, 142–153.
34. Dâmaso, A.; Rosa, N.; Maciel, P. Reliability ofWireless Sensor Networks. Sensors 2014, 14, 15760–15785.
35. Distefano, S. Evaluating Reliability of WSN with Sleep/Wake-up Interfering Nodes. Int. J. Syst. Sci. 2013, 44, 1793–1806.
36. Vasar, C.; Prostean, O.; Filip, I.; Robu, R.; Popescu, D. Markov models for wireless sensor network reliability. In Proceedings of the 2009 IEEE 5th International Conference on Intelligent Computer Communication and Processing, Cluj-Napoca, Romania, 27–29 August 2009; pp. 323–328.
37. Shen, S.; Huang, L.; Liu, J.; Champion, A.C.; Yu, S.; Cao, Q. Reliability Evaluation for Clustered WSNs under Malware Propagation. Sensors 2016, 16, 855.
38. Ahmed, W.; Hasan, O.; Tahar, S. Formal reliability analysis of wireless sensor network data transport protocols using HOL. In Proceedings of the 2015 IEEE 11th International Conference onWireless and Mobile Csomputing, Networking and Communications (WiMob), Abu Dhabi, UAE, 19–21 October 2015; pp. 217–224.
39. Mejjaouli, S.; Babiceanu, R.F. Minimal path sets models for reliability computation of wireless sensor networks. In Proceedings of the 2016 Annual IEEE Systems Conference (SysCon), Orlando, FL, USA, 18 April 2016; pp. 1–6.
40. Zhu, X.; Lu, Y.; Han, J.; Shi, L. Transmission Reliability Evaluation for Wireless Sensor Networks. Int. J. Distrib. Sens. Netw. 2016, 12, 1346079, doi:10.1155/2016/1346079.
41. Sahota, H.S. Wireless Sensor Network for Precision Agriculture: Design, Performance Modeling and Evaluation, and Node Localization. PhD Thesis, Iowa State University, Ames, IA, USA, 2013.
42. Ma, Y.; Jin, L. Sensitivity analysis of DOA error on least square-based source localization in UWSAN. In Proceedings of the 2014 7th International Congress on Image and Signal Processing (CISP), Dalian, China, 14–16 October 2014; pp. 979–983.
43. Xu, Y. Adaptive Energy Conservation Protocols forWireless Ad Hoc Routing. PhD Thesis, University of Southern California, Los Angeles, CA, USA, 2002.