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Route Error Reporting Schemes for On-Demand Routing in 6LoWPAN

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Advances in Grid and Pervasive Computing (GPC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3947))

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Abstract

Due to their rapid growth and new paradigm applications, wireless sensor networks are morphing into low power personal area networks (LoWPANs), which are envisioned to grow radically. To achieve higher degrees of pervasiveness these LoWPANs must be connected to the wired networks where most of information resources reside. Integration of IPv6 with LoWPANs poses many challenges; the hardest of them, probably, is the difference in packet size. Solution to this problem demands new packet format definition, packet header compression, and a fragmentation and reassembly layer. Header compression techniques suggest different schemes including removal of source node’s address from the packet header. In this paper we analyze the effects of eliminating the source address from the packet header and then propose solutions to propagate the route error message (RERR) to the source even without having the source address. We make use of MAC layer address for sending the RERR to the previous hop node, back tracking the route hop by hop, eventually to the source. The simulation results show that the proposed solutions deliver RERRs to the source even without the source address.

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References

  1. IEEE LoWPAN Standard 802.15.4-2003, http://standards.ieee.org/getieee802/802.15.html

  2. ZigBee Alliance, http://www.zigbee.org

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© 2006 Springer-Verlag Berlin Heidelberg

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Jung, WD., Chaudhry, S.A., Sohn, YH., Kim, KH. (2006). Route Error Reporting Schemes for On-Demand Routing in 6LoWPAN. In: Chung, YC., Moreira, J.E. (eds) Advances in Grid and Pervasive Computing. GPC 2006. Lecture Notes in Computer Science, vol 3947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11745693_51

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  • DOI: https://doi.org/10.1007/11745693_51

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-33809-3

  • Online ISBN: 978-3-540-33810-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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