ENERGY EFFICIENT AND SECURED WAY OF BIG DATA GATHERING IN WSN USING K-MEDOIDS ALGORITHM

Ashwini.S, Srinivasa.H.P

Abstract: Big data has considered being promising application in the field of data and correspondence innovation (ICT). WSNs are used for gather big data to communication technology. In most of case the data from single sensor is not enough informative to user. To gather significant data, it is necessary to gather information from distributed sensors. Because of limited power in WSNs big data gathering is challenging task. To increase network lifetime in WSNs the ways for information exchange are chosen in a manner that the aggregate vitality expended along the way is decreased. To bolster enhanced information accumulation and high versatility, sensor hubs are regularly gathered into non-covering, disjoint subsets called groups. Bunches make various levelled WSNs which consolidate effective use of restricted assets of sensor hubs and thus augments lifetime of system. Here we proposed an efficient way for data gathering using clustering based technique. Here we used k-medoidsclustering technique for the ideal number of bunches and made sink hub trajectory, used as efficient data collector.

Keywords: Wireless Sensor Network (WSNS), Big Data, Clustering, Streamlining, Information Gathering, and Vitality Proficiency

DOI: https://doi.org/10.15623/ijret.2016.0516015