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Performance and Feasibility of GPSR and RPL in NANs

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Wireless Communications Networks for the Smart Grid

Part of the book series: SpringerBriefs in Computer Science ((BRIEFSCOMPUTER))

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Abstract

Given the two promising routing protocols for wireless mesh NANs, namely GPSR and RPL, this chapter presents extensive simulations carried out with IEEE 802.11-based radio and practical system parameters related to the NAN’s characteristics and deployment scenarios specified in SG standards. For the robustness of routing protocols against network element failures, this chapter investigates the capability of PPS in rerouting traffic around non-connected network regions caused by SM malfunctions. The obtained results reveal the advantages of RPL against the GPSR in terms of its network condition awareness and superior performance. They also demonstrate that PPS can effectively improve the network resilience by adaptively forwarding the traffic over multiple alternative paths.

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References

  1. NIST Priority Action Plan 2 – Guidelines for Assessing Wireless Standards for Smart Grid Applications, National Institude of Standards and Technology Std., 2011.

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  2. Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications, IEEE Std 802.11b-1999 Std., 2001.

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  3. T. Watteyne et al., “From MANET to IETF ROLL standardization: A paradigm shift in WSN routing protocols,” IEEE Communications Surveys & Tutorials, vol. 13, no. 4, pp. 688–707, Jan. 2011.

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  4. B. Karp and H. Kung, “GPSR: greedy perimeter stateless routing for wireless networks,” in Proc. Annual International Conference on Mobile Computing and Networking (MobiCom), Boston, MA, USA, Aug. 2000, pp. 243–254.

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Ho, QD., Gao, Y., Rajalingham, G., Le-Ngoc, T. (2014). Performance and Feasibility of GPSR and RPL in NANs. In: Wireless Communications Networks for the Smart Grid. SpringerBriefs in Computer Science. Springer, Cham. https://doi.org/10.1007/978-3-319-10347-1_5

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  • DOI: https://doi.org/10.1007/978-3-319-10347-1_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-10346-4

  • Online ISBN: 978-3-319-10347-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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