Three hops reliability model for Underwater Wireless Sensor Network

Ali, T. and Jung, L.T. and Faye, I. (2014) Three hops reliability model for Underwater Wireless Sensor Network. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Due to the instability of underwater environment, the reliable data transfers is more sensitive issue in Underwater Wireless Sensor Networks (UWSNs) as compare to land based sensor network. Underwater networks are mostly designed by acoustic sensor nodes and surface sinks that are connected to any onshore control center. Acoustic channel characteristics are create many problems like, low bandwidth; long propagation delays and high error channel rates that can cause to hamper the efficiency of UWSNs. With these constraints, it is very difficult task to design a routing protocol which has the ability to maximize the reliability of these networks. In this paper, we proposed a reliable model with the name of 3 Hop-Reliability Model (3H-RM), in which every sender node of each group of three layers will maintain the copy of same successful transferred data packets without creating extra burden on the networks. Simulation results shows that 3H-RM can achieve better delivery ratios as compare to 2H-ACK reliability model without using any additional resources and configurations. © 2014 IEEE.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Additional Information: cited By 13; Conference of 2014 International Conference on Computer and Information Sciences, ICCOINS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:112912
Uncontrolled Keywords: Data transfer; Reliability; Routing protocols; Sensor nodes, 2H-ACK; 3H-RM; Propagation delays; Reliable data transfers; Underwater environments; Underwater networks; Underwater wireless sensor networks; UWSN, Underwater acoustics
Depositing User: Mr Ahmad Suhairi UTP
Date Deposited: 09 Nov 2023 16:15
Last Modified: 09 Nov 2023 16:15
URI: https://khub.utp.edu.my/scholars/id/eprint/4263

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