0364x12.png" />

Figure 3. Consumed energy between DBR and EELD-DBR, consumed energy results are in joule unit, network density is fixed and equal to 1000 nodes and also velocity (mobility of all nodes) is selected between 1 and 5 m/s.

Figure 4. Delay comparison between DBR and EELD-DBR, delay results are in second unit, network density is fixed and equal to 1000 nodes and also velocity (mobility of all nodes) is selected between 1 and 5 m/s.

Figure 5. Consumed energy between DBR and EELD-DBR, consumed energy results are in joule unit, network density has variations from 1000 to 3000 nodes and also velocity (mobility of all nodes) is 1 m/s (fixed).

Figure 6. Delay comparison between DBR and EELD-DBR, delay results are in second unit, network density has variations from 1000 to 3000 nodes and also velocity (mobility of all nodes) is 1 m/s (fixed). This figure clearly illutrates lower delay of EELD-DBR than DBR.

between DBR and EELD-DBR during 200 seconds (as simulation time). This figures show lower energy consumption and link delay of EELD-DBR in comparison with DBR.

Figure 3 and Figure 4 are in constant density of 1000-node with various speeds and evaluate the schemes in terms of consumed energy and link delay, respectively. Figure 5 and Figure 6 are in constant mobility of 1 m/s with various densities and evaluate the schemes in respect with consumed energy and link delay, respectively. So, proposed method by use of depth clustering is able to reduce consumed energy and end-to-end delay in dense underwater sensor networks (DUSNs). All simulations are accurate and performed in a space of discrete-event with finite experimental points to figure curves.

5. Conclusion and Future Works

We introduced our new improvement over DBR protocol, i.e. Energy Efficient and Low Delay-DBR (EELD- DBR) for underwater wireless sensor networks, with this assumption that network is working in dense mode. This enhancement is applicable in all dense networks with different routing protocols. For future work, we can create an adaptive version of EELD-DBR by use of component adaptation concept [7] , i.e. a protocol that in it, each router node can select a specific scalable parameter (α) for itself; this value can be different from other each node’s scalable parameter. This paper is directly an enhancement on our previous papers [5] [6] [9] [11] that are published in 2015 and in fact DBR as basic routing scheme can be changed to any other protocol. Of course, using DBR is necessary, if we are going to create a NI-independent routing protocol.

NOTES

*Corresponding author.

1Figure 1 is extracted from [1] .

Cite this paper
Khosravi, M. , Salari, R. and Rostami, H. (2016) A Solution for Scalable Routing in Depth Divisions-Based DUSNs via Adding a Scalable Parameter to Control Depth Clusters: Creating an Energy Efficient and Low Delay NI-Independent Communication Protocol. Journal of Computer and Communications, 4, 55-61. doi: 10.4236/jcc.2016.47008.
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