A Comprehensive Comparative Analysis of Two Novel Underwater Routing Protocols

Abstract

The most unmanned area of this planet is sheltered with water; that is roughly 71.9% of the total area of this planet. A large quantity of marine life is present in this area. That is the reason underwater research is bounded due to unexplored benefits. Due to the addition of sensors and growing interests in the exploration and monitoring of marine life Underwater Wireless Sensor Network (UWSN) can play an important role. A variety of routing protocols has been deployed in order to get information between deployed nodes. Providing stable data transmission, maximum throughput, minimum consumption of the energy and delay are challenging tasks in the UWSN. These routing protocols can be Layer-by-Layer Angle-Based Flooding (L2-ABF) and Diagonal and Vertical Routing Protocol (DVRP). In order to get stable data transmission, the node density plays our role in shallow and deep water. Several parameters are employed to evaluate the output efficiency of these routing protocols. In this paper, like an end to end delay, loss of data packets during transmission and data delivery ratio within communication are considered the major parameters for evaluation. For this, the network simulator is used with the aqua sim package. The results, we have produced during this study; guides us about the best routing protocol for data transmission. It finally reveals that the L2-ABF performs better then DVRP in a different situation, further the tradeoffs relationship is achieved against multiple situations.

Authors and Affiliations

Umar Draz, Tariq Ali, Khurshid Asghar, Sana Yasin, Zubair Sharif, Qasim Abbas, Shagufta Aman

Keywords

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  • EP ID EP552362
  • DOI 10.14569/IJACSA.2019.0100458
  • Views 70
  • Downloads 0

How To Cite

Umar Draz, Tariq Ali, Khurshid Asghar, Sana Yasin, Zubair Sharif, Qasim Abbas, Shagufta Aman (2019). A Comprehensive Comparative Analysis of Two Novel Underwater Routing Protocols. International Journal of Advanced Computer Science & Applications, 10(4), 466-472. https://europub.co.uk/articles/-A-552362