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Retracted

The Scientific World Journal has retracted this article. After conducting a thorough investigation, we have strong reason to believe that the peer review process was compromised.

This article was originally submitted to a Special Issue titled “Recent Advances in Metaheuristics and its Hybrids.” In late 2015, Dr. Xavier Delorme, the lead guest editor on the Special Issue, alerted us that his identity had been compromised. After further investigation, we discovered that several peer review reports in this issue had been submitted from similarly compromised email accounts.

We are retracting the articles in keeping with the “COPE statement on inappropriate manipulation of the peer review process.” There is no evidence that any of the authors or editors, including Dr. Delorme, were aware of this misconduct.

View the full Retraction here.

References

  1. S. Sumithra and T. A. A. Victoire, “Differential evolution algorithm with diversified vicinity operator for optimal routing and clustering of energy efficient wireless sensor networks,” The Scientific World Journal, vol. 2015, Article ID 729634, 7 pages, 2015.
The Scientific World Journal
Volume 2015, Article ID 729634, 7 pages
http://dx.doi.org/10.1155/2015/729634
Research Article

Differential Evolution Algorithm with Diversified Vicinity Operator for Optimal Routing and Clustering of Energy Efficient Wireless Sensor Networks

Anna University, Regional Centre, Coimbatore, Tamilnadu 641047, India

Received 6 December 2014; Accepted 12 February 2015

Academic Editor: Xavier Delorme

Copyright © 2015 Subramaniam Sumithra and T. Aruldoss Albert Victoire. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Due to large dimension of clusters and increasing size of sensor nodes, finding the optimal route and cluster for large wireless sensor networks (WSN) seems to be highly complex and cumbersome. This paper proposes a new method to determine a reasonably better solution of the clustering and routing problem with the highest concern of efficient energy consumption of the sensor nodes for extending network life time. The proposed method is based on the Differential Evolution (DE) algorithm with an improvised search operator called Diversified Vicinity Procedure (DVP), which models a trade-off between energy consumption of the cluster heads and delay in forwarding the data packets. The obtained route using the proposed method from all the gateways to the base station is comparatively lesser in overall distance with less number of data forwards. Extensive numerical experiments demonstrate the superiority of the proposed method in managing energy consumption of the WSN and the results are compared with the other algorithms reported in the literature.