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On Applicability of Network Coding Technique for 6LoWPAN-based Sensor Networks.

Marek Amanowicz1, Jaroslaw Krygier2

  • 1NASK-National Research Institute, Kolska 12, Warsaw 01-045, Poland. marek.amanowicz@nask.pl.

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|June 5, 2018
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Summary
This summary is machine-generated.

Network coding in 6LoWPAN sensor networks reduces traffic and energy use. This technique enhances sensor network lifetime and performance, especially for delay-tolerant applications.

Keywords:
6LoWPANInternet of Thingsdelay-tolerant sensor networksnetwork codingwireless sensor networks

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Area of Science:

  • Computer Science
  • Networking
  • Wireless Sensor Networks

Background:

  • Internet of Things (IoT) architecture relies on standards like 6LoWPAN.
  • Increasing traffic in 6LoWPAN networks can cause overload and reduce sensor network lifetime.
  • Resource-limited sensor motes face challenges with traditional network coding.

Purpose of the Study:

  • To examine the applicability of network coding in 6LoWPAN-based sensor multihop networks.
  • To propose an inter-session network coding mechanism suitable for resource-constrained sensor motes.
  • To reduce overall network traffic and energy consumption in 6LoWPAN sensor networks.

Main Methods:

  • Implementation of an inter-session network coding mechanism.
  • Deep header compression of native 6LoWPAN packets.
  • Hop-by-hop header structure modifications to minimize signaling overhead.

Main Results:

  • Validated procedures in terms of end-to-end packet delay, packet loss ratio, and traffic.
  • Measured total energy consumption and network lifetime improvements.
  • Confirmed the efficiency of the proposed technique in a real wireless sensor network testbed.

Conclusions:

  • The proposed network coding technique is effective for 6LoWPAN sensor networks.
  • The solution significantly reduces traffic and energy consumption, extending network lifetime.
  • The method is particularly beneficial for delay-tolerant wireless sensor network applications.