ENHANCING EGRC USING ANOVA BASED CLUSTERING IN UNDERWATER SENSOR NETWORKS

As reliability and efficient data transmission is the challenging factor in underwater sensor network, the application such as monitoring abnormal submarine pipelines becomes complex. Thus in the existing EGRC, the whole network which can be viewed as big cube is divided into small cube (SC) where SC is a cluster. To enhance the selection of optimal cluster-heads, we propose a new methodology DUAC which combines EGRC with ANOVA based clustering. In DUAC the node generating identical data sets are identified and aggregated the sets before sending them to the sink. Analysis and implementation results of DUAC enhance EGRC in terms of energy efficiency, reliability, end-to-end delay and power consumption. Citation: M. Raghini, K.L.N. College of Engineering; S. Lavanya ,; G. Nivetha ,; R. Priya Dharshini ,. "ENHANCING EGRC USING ANOVA BASED CLUSTERING IN UNDERWATER SENSOR NETWORKS." Global Research and Development Journal For Engineering : 164 - 170.