期刊名称：International Journal of Database Management Systems
印刷版ISSN：0975-5985
电子版ISSN：0975-5705
出版年度：2014
卷号：6
期号：4
页码：27
DOI：10.5121/ijdms.2014.6403
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper we are proposing to develop energy aware model for sensor network. In our approach, firstwe used DBSCAN clustering technique to exploit the spatiotemporal correlation among the sensors, thenwe identified subset of sensors called representative sensors which represent the entire network state. Andfinally we used nature inspired algorithms such as Ant Colony Optimization, Bees Colony Optimization,and Simulated Annealing to find the optimal transmission path for data transmission. We have conductedour experiment on publicly available Intel Berkeley Research Lab dataset and the experimental resultsshows that consumption of energy can be reduced.
