Delay and Throughput Analysis Using Node Density as Pivot Value in UWASNs.

Underwater Acoustic Sensor Networks (UASNs) are fast growing research field having different underwater applications such as, patrol mining and underwater pollution monitoring etc. In UASNs, nodes are either static or dynamic depending upon configuration of network deployment and type of monitoring. For example for pollution control moving nodes are feasible to sense data from different underwater regions, alternatively for patrol mining fields specific target region must be sensed constantly for which static nodes deployment is desirable. Direct transmission or multi hop transmissions are used to forward data towards sink. Alternatively sinks can be mobile or static depending on real time or passive applications. These different types of nodes with varying density and sink deployments greatly affect performance of protocols. In this paper, we analyze effects of node density on performance of routing protocols in UASNs. We selected two UASNs protocols for this purpose, i.e. improved Adaptive Mobility of Courier Nodes in Threshold-optimized DBR (iAMCTD) and Sparsity-aware Energy Efficient Clustering (SEEC) protocol for underwater acoustic sensor networks. Different density levels of nodes are considered for its effect on the delay and throughput of the aforementioned protocols. Analysis shows that, cluster based protocols perform well in sparse conditions than non cluster based protocols, while non cluster based protocols works efficiently when density of nodes is increased. Customized and efficient MAC based protocols in dense network deployment, can highly increase the performance of cluster based protocols for underwater sensor networks.