Advertisement

Factor Effects for Routing in a Delay-Tolerant Wireless Sensor Network for Lake Environment Monitoring

  • Rizza T. Loquias
  • Nestor Michael C. Tiglao
  • Jhoanna Rhodette I. Pedrasa
  • Joel Joseph S. Marciano
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 235)

Abstract

Delay-tolerant wireless sensor networks (DTWSN) is a promising tool to facilitate communication in disruptive and challenged sensor network environments not usually catered by traditional systems. In this paper, DTWSN application to a real-life lake scenario is considered with the description of the routing problem and proposed solution. Opportunistic Network Environment (ONE) simulator was utilized to determine the performance of First Contact, Epidemic and Spray and Wait routing protocols on the map-based mobility model of the lake. Factors considered are the number of nodes, bit rate and ferry speed. Analyses of delivery probability, latency and overhead ratio as well as buffer time and hop count as metrics of performance evaluation against the protocols are done using JMP software. Results revealed that Spray and wait outperforms the other protocols for the given scenario.

Keywords

Wireless sensor networks Delay tolerant networks DTN routing ONE simulator JMP software 

References

  1. 1.
    Akyildiz, I.F., Su, W., Sankarasubramaniam, Y., Cayirci, E.: A survey on sensor networks. IEEE Commun. Mag. 40, 102–114 (2002)CrossRefGoogle Scholar
  2. 2.
    Karl, H., Willig, A.: Protocols and Architectures for Wireless Sensor Networks. Wiley, Hoboken (2005)CrossRefGoogle Scholar
  3. 3.
    Gay-Fernandez, J.A., Sanchez, M.G., Cuinas, I., Alejos, A.V.: Propagation analysis and deployment of a wireless sensor network in a forest. Prog. Electromagnet. Res. 106, 121–145 (2010)CrossRefGoogle Scholar
  4. 4.
    Fall, K.: A delay-tolerant network architecture for challenged internets. In: Proceedings of SIGCOMM 2003, pp. 27–34. ACM, New York (2003)Google Scholar
  5. 5.
    Li, Y., Radim, B.: A survey of protocols for intermittently connected delay-tolerant wireless sensor networks. J. Netw. Comput. Appl. 41, 411–442 (2014)CrossRefGoogle Scholar
  6. 6.
    Wei, K., Liang, X., Xu, K.: A survey of social-aware routing protocols in delay tolerant networks: Applications, taxonomy and design-related issues. IEEE Commun. Surv. Tutor. 16(1), 556–578 (2014)CrossRefGoogle Scholar
  7. 7.
    Chenji, H., Hassanzadeh, A., Won, M., Li, Y., Zhang, W., Yang, X., Stoleru, R., Zhou, G.: A Wireless Sensor, AdHoc and Delay Tolerant Network System for Disaster Response (2011). https://engineering.tamu.edu/media/696805/2011-9-2.pdf
  8. 8.
    N4C: Networking for communications challenged communities: architecture, test beds and innovative alliances (2007)Google Scholar
  9. 9.
    Del Rosario, J.M.: Deployment of a wireless sensor network for aquaculture and lake resource management. In: IEEE First International Workshop on Wireless Communication and Networking Technologies for Rural Enrichment (2011)Google Scholar
  10. 10.
    Solpico, D.B.: Towards a web-based decision system for Philippine lakes with UAV imaging, water quality wireless network sensing and stakeholder participation. In: ISSNIP 2015 (2015)Google Scholar
  11. 11.
    The Agroecosystems of Buhi: Problems and Opportunities. http://pdf.usaid.gov/pdf_docs/Pnaau489.pdf
  12. 12.
    Alnuaimi, M., Shuaib, K., Alnuaimi, K., Abdel-Hafez, M.: Data gathering in delay tolerant wireless sensor networks using a ferry. Sensors 2015(15), 25809–25830 (2015)CrossRefGoogle Scholar
  13. 13.
    Cerf, V., Burleigh, S., Hooke, A., Torgerson, L., Durst, R., Scott, K., Fall, K., Weiss, H.: Delay-tolerant networking architecture. RFC 4838 (Informational), April 2007Google Scholar
  14. 14.
    Scott, K., Burleigh, S.: Bundle protocol specification. RFC 5050 (Experimental), November 2007Google Scholar
  15. 15.
    Cao, Y., Sun, Z.: Routing in delay/disruption tolerant networks: a taxonomy, survey and challenges. IEEE Commun. Surv. Tutor. 15(2), 654–677 (2013)CrossRefGoogle Scholar
  16. 16.
    Keränen, A., Ott, J., Kärkkäinen, T.: The ONE simulator for DTN protocol evaluation. In: Proceedings of the 2nd International Conference on Simulation Tools and Techniques (Simutools 2009). ICST (Institute for Computer Sciences, Social-Informatics and Telecom Engineering), Brussels, Belgium, Article no. 55 (2009)Google Scholar
  17. 17.
    Vahdat, A., Becker, D.: Epidemic routing for partially connected ad hoc networks. Technical report CS-200006, Duke University, April 2000Google Scholar
  18. 18.
    Spyropoulos, T., Psounis, K., Raghavendra, C.S.: Spray and wait: an efficient routing scheme for intermittently connected mobile networks. In: Proceedings of the 2005 ACM SIGCOMM Workshop on Delay-Tolerant Networking, WDTN05, pp. 252—259. ACM, New York (2005)Google Scholar
  19. 19.
  20. 20.
    Space-Filling Design. http://www.jmp.com/support
  21. 21.

Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  1. 1.Electrical and Electronics Engineering InstituteUniversity of the Philippines DilimanQuezon CityPhilippines

Personalised recommendations