z-logo
open-access-imgOpen Access
On the design of coding framework for energy efficient and reliable multi-hop sensor networks
Author(s) -
Imad Ezzazi,
Mounir Arioua,
Ahmed El Oualkadi
Publication year - 2017
Publication title -
procedia computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.334
H-Index - 76
ISSN - 1877-0509
DOI - 10.1016/j.procs.2017.05.334
Subject(s) - computer science , network packet , wireless sensor network , automatic repeat request , energy consumption , computer network , forward error correction , hybrid automatic repeat request , lossy compression , real time computing , linear network coding , efficient energy use , coding (social sciences) , error detection and correction , transmission (telecommunications) , telecommunications , decoding methods , algorithm , biology , engineering , ecology , statistics , mathematics , artificial intelligence , electrical engineering
Energy efficiency and reliability are the key requirements for wireless sensor network (WSN), as sensor nodes are expected to be stand-alone for a long time and communication to be successfully carried out. Communication is the most energy consuming process in WSN, especially in lossy environment. In multi-hop WSN, packets are more susceptible to transmission errors which worsens the communication reliability and energy consumption. Therefore, coding schemes are mandatory to cover the channel impairments and save the transmission energy. In this work, we propose an adaptive coding (AC) scheme that can be adapted with the channel state and inter-node distances in order to decode and correct the packets or request for retransmissions. The proposed scheme has proved to be energy efficient and adaptive compared to Automatic Repeat reQuest (ARQ) and Forward Error Correction (FEC) schemes.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom