System Design and Testbed Implementation of Adaptive Coding Optimization in Lossy Networks

Yi Shi, Yalin E. Sagduyu, Junshan Zhang, Jason H. Li

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


A fundamental challenge in wireless networks is handling packet loss due to dynamic noise, interference, and dynamic channel effects, especially when there is no per-packet acknowledgement due to additional delays and potential loss of feedback packets. We design and implement a packet coding optimization scheme applied at source node to enhance end-to end transmission reliability in a lossy multi-hop network. Each source node transmits a file of packets to its destination node in the network where the end-to-end packet acknowledgement is not readily available because of the possible error or delay effects over multiple hops. By simply retransmitting packets, a source node cannot guarantee innovative packet arrivals at the destination node. Thus, we design an optimization scheme for adaptive packet coding applied at the source node to avoid redundant packet traffic thereby significantly improving the throughput, even for the case of a single unicast session. This scheme does not require any knowledge of network topology and can seamlessly operate with any routing or network coding protocol used at the intermediate relay nodes. First, we discuss the throughput properties of coded transmissions and verify the feasibility of performance gains via simulations. Then, we provide high fidelity emulation test bed results with real radio transmissions over emulated channels to evaluate the throughput gains. Without relying on end-to-end acknowledgment for each packet, we show that the adaptive packet coding optimization scheme can achieve significantly higher throughput than the retransmission scheme in lossy networks with unicast traffic.

Original languageEnglish (US)
Title of host publicationProceedings - 2014 IEEE Military Communications Conference
Subtitle of host publicationAffordable Mission Success: Meeting the Challenge, MILCOM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages7
ISBN (Electronic)9781479967704
StatePublished - Nov 13 2014
Event33rd Annual IEEE Military Communications Conference, MILCOM 2014 - Baltimore, United States
Duration: Oct 6 2014Oct 8 2014

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM


Other33rd Annual IEEE Military Communications Conference, MILCOM 2014
Country/TerritoryUnited States


  • Network coding
  • lossy networks
  • multi-hop networks
  • network emulation
  • retransmission
  • testbed
  • throughput

ASJC Scopus subject areas

  • Electrical and Electronic Engineering


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