Implementation of Clustering For Data Aggregation Using Evolutionary Algorithm

  Ms.Sheetal V.Chate,  Prof.S.B.Javheri

Network is a collection of different nodes which co-operatively send detected information in Local area Network. The essential target of information accumulation calculations is to assemble a total information in a vitality efficient way. One such approach is information package which fetching strategy for information gathering in broadcast framework architectures and dynamic access via wired connectivity. A Genetic algorithm is a class of developmental algorithm. In this work, we have proposed clustering for data aggregation using evolutionary algorithm in Network. In which Intermediate Node (CH) are selected on basis of node connectivity which act as a data aggregator (DAG).Then the clustering process is executed using evolutionary algorithm such as Genetic Algorithm (GA). When cluster member want to send a data to Intermediate Node (CH) which act as a data aggregator then they use data encryption which offers data confidentiality, data integrity, and authenticity. But it is important that cluster member must be accepted by Intermediate Node (CH) so that they can transmit data to Intermediate Node (CH).

Keywords- Clustering, Evolutionary Algorithm, data Aggregation

Unique Identification Number - IJEDR1603059
Page Number(s) - 368-372
Pubished in - Volume 4 | Issue 3 | July 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Ms.Sheetal V.Chate,  Prof.S.B.Javheri,   "Implementation of Clustering For Data Aggregation Using Evolutionary Algorithm", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.368-372, July 2016, Available at :http://www.ijedr.org/papers/IJEDR1603059.pdf