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Number 2

Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks

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  • Bouchaib Marah and Wafaâ Bouab Bennani and Pierre Nlend and Adil Sayouti 2016. Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks. International Journal of Applied Information Systems. 10, 8 (April 2016), 49-52. DOI=http://dx.doi.org/10.5120/ijais451392 
  • @article{10.5120/ijais2017451568,
author = {Bouchaib Marah and Wafaâ Bouab Bennani and Pierre Nlend and Adil Sayouti},
title = {Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks},
journal = {International Journal of Applied Information Systems},
issue_date = {April 2016},
volume = {10},
number = {},
month = {April},
year = {2016},
issn = {},
pages = {49-52},
numpages = {},
url = {/archives/volume10/number8/905-905-2016451551},
doi = { 10.5120/ijais2016451535},
publisher = {Publisher: Foundation of Computer Science (FCS), NY, USA},
address = {}
}

  • %1 451392
%A Charles B.  Malungu
%A Christopher A.  Moturi
%T Genetic Algorithm based Energy Efficient Data Gathering in Wireless Sensor Networks
%J International Journal of Applied Information Systems
%@ 
%V 10
%N 
%P 49-52
%D 2016
%I Publisher: Foundation of Computer Science (FCS), NY, USA

Abstract

The MIMO OTA way forward was approved at the 3GPP RAN4 #62bis meeting in Jeju (Korea) [1], and among the remaining works to be accomplished it was highlighted that the channel model had to be validated across methods in order to ensure that a minimal number of artifacts are inserted into the channel model by any given methodology and that the different methods reproduce, and the DUT experiences, the same radio conditions regardless of the methodology.

References

    Keywords

    Multi-hop communication, Cluster centroid, Network lifetime, Cluster head, Relay node, Genetic algorithm.

    Index Terms

    Computer Science
    Information Sciences