Markov Chain-based analytical model of opportunistic routing protocol for wireless sensor networks

Mohd Ezanee Rusli, Richard Harris, Amal Punchihewa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

11 Citations (Scopus)

Abstract

In a resource constrained wireless sensor network (WSN), communication tasks can be expensive in terms of power consumption. Thus, when good communication is required, a mechanism that can maximize the chances of a successful transmission of information via wireless network is very desirable. The Opportunistic Routing (OR) protocol [1, 2] has been proposed as an alternative and efficient method for exploiting the spatial and temporal characteristics of a wireless network. In this paper, we propose an analytical framework model based on Markov Chain of OR and M/D/l/K queue to measure its performance in term of end-to-end delay and reliability in wireless sensor network. The performance predicted by the proposed framework is validated through simulation and is in very good agreement. We also discuss the enhancement strategy on OR to achieve better QoS guarantee in term of delay constraint.

Original languageEnglish
Title of host publicationTENCON 2010 - 2010 IEEE Region 10 Conference
Pages257-262
Number of pages6
DOIs
Publication statusPublished - 2010
Event2010 IEEE Region 10 Conference, TENCON 2010 - Fukuoka, Japan
Duration: 21 Nov 201024 Nov 2010

Other

Other2010 IEEE Region 10 Conference, TENCON 2010
CountryJapan
CityFukuoka
Period21/11/1024/11/10

Fingerprint

Routing protocols
Markov processes
Wireless sensor networks
Analytical models
Wireless networks
Communication
Quality of service
Electric power utilization

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Electrical and Electronic Engineering

Cite this

Rusli, M. E., Harris, R., & Punchihewa, A. (2010). Markov Chain-based analytical model of opportunistic routing protocol for wireless sensor networks. In TENCON 2010 - 2010 IEEE Region 10 Conference (pp. 257-262). [5686003] https://doi.org/10.1109/TENCON.2010.5686003
Rusli, Mohd Ezanee ; Harris, Richard ; Punchihewa, Amal. / Markov Chain-based analytical model of opportunistic routing protocol for wireless sensor networks. TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. pp. 257-262
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Rusli, ME, Harris, R & Punchihewa, A 2010, Markov Chain-based analytical model of opportunistic routing protocol for wireless sensor networks. in TENCON 2010 - 2010 IEEE Region 10 Conference., 5686003, pp. 257-262, 2010 IEEE Region 10 Conference, TENCON 2010, Fukuoka, Japan, 21/11/10. https://doi.org/10.1109/TENCON.2010.5686003

Markov Chain-based analytical model of opportunistic routing protocol for wireless sensor networks. / Rusli, Mohd Ezanee; Harris, Richard; Punchihewa, Amal.

TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. p. 257-262 5686003.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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AB - In a resource constrained wireless sensor network (WSN), communication tasks can be expensive in terms of power consumption. Thus, when good communication is required, a mechanism that can maximize the chances of a successful transmission of information via wireless network is very desirable. The Opportunistic Routing (OR) protocol [1, 2] has been proposed as an alternative and efficient method for exploiting the spatial and temporal characteristics of a wireless network. In this paper, we propose an analytical framework model based on Markov Chain of OR and M/D/l/K queue to measure its performance in term of end-to-end delay and reliability in wireless sensor network. The performance predicted by the proposed framework is validated through simulation and is in very good agreement. We also discuss the enhancement strategy on OR to achieve better QoS guarantee in term of delay constraint.

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Rusli ME, Harris R, Punchihewa A. Markov Chain-based analytical model of opportunistic routing protocol for wireless sensor networks. In TENCON 2010 - 2010 IEEE Region 10 Conference. 2010. p. 257-262. 5686003 https://doi.org/10.1109/TENCON.2010.5686003