Delay-Sensitive Routing Schemes for Underwater Acoustic Sensor Networks

Author:

Javaid N.12,Jafri M. R.2,Ahmed S.23,Jamil M.4,Khan Z. A.5,Qasim U.6,Al-Saleh S. S.7

Affiliation:

1. CAST, COMSATS Institute of IT, Islamabad 44000, Pakistan

2. EE Department, COMSATS Institute of IT, Islamabad 44000, Pakistan

3. Institute of Management Sciences, Peshawar 2500, Pakistan

4. SMME, National University of Sciences & Technology (NUST), Islamabad 44000, Pakistan

5. Internetworking Program, FE, Dalhousie University, Halifax, NS, Canada, B3J 4R2

6. University of Alberta, AB, Canada, T6G 2J8

7. IT and Communication, SEC, Riyadh 11633, Saudi Arabia

Abstract

Underwater Acoustic Sensor Networks (UASNs) offer their practicable applications in seismic monitoring, sea mine detection, and disaster prevention. In these networks, fundamental difference between operational methodologies of routing schemes arises due to the requirement of time-critical applications; therefore, there is a need for the design of delay-sensitive techniques. In this paper, Delay-Sensitive Depth-Based Routing (DSDBR), Delay-Sensitive Energy Efficient Depth-Based Routing (DSEEDBR), and Delay-Sensitive Adaptive Mobility of Courier nodes in Threshold-optimized Depth-based routing (DSAMCTD) protocols are proposed to empower the depth-based routing schemes. The performance of the proposed schemes is validated in UASNs. All of the three schemes formulate delay-efficient Priority Factors (PF) and Delay-Sensitive Holding time ([Formula: see text]) to minimize end-to-end delay with a small decrease in network throughput. These schemes also employ an optimal weight function ([Formula: see text]) for the computation of transmission loss and speed of received signal. Furthermore, solution for delay lies in efficient data forwarding, minimal relative transmissions in low-depth region, and better forwarder selection. Simulations are performed to assess the proposed protocols and the results indicate that the three schemes largely minimize end-to-end delay along with improving the transmission loss of network.

Funder

King Saud University

Publisher

SAGE Publications

Subject

Computer Networks and Communications,General Engineering

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