Modeling and Analysis of Opportunistic Routing in Low Duty-Cycle Underwater Sensor Networks

Author(s):  
Rodolfo W.L. Coutinho ◽  
Azzedine Boukerche ◽  
Luiz F.M. Vieira ◽  
Antonio A.F. Loureiro
2014 ◽  
Vol 10 (4) ◽  
pp. 1-39 ◽  
Author(s):  
Euhanna Ghadimi ◽  
Olaf Landsiedel ◽  
Pablo Soldati ◽  
Simon Duquennoy ◽  
Mikael Johansson

2013 ◽  
Vol 33 (12) ◽  
pp. 3394-3397
Author(s):  
Dan XU ◽  
Xiaojiang CHEN ◽  
Junjie HUANG ◽  
Xiaoyan YIN ◽  
Dingyi FANG

Sensors ◽  
2021 ◽  
Vol 21 (6) ◽  
pp. 1942
Author(s):  
Rogaia Mhemed ◽  
Frank Comeau ◽  
William Phillips ◽  
Nauman Aslam

Much attention has been focused lately on the Opportunistic Routing technique (OR) that can overcome the restrictions of the harsh underwater environment and the unique structures of the Underwater Sensor Networks (UWSNs). OR enhances the performance of the UWSNs in both packet delivery ratio and energy saving. In our work; we propose a new routing protocol; called Energy Efficient Depth-based Opportunistic Routing with Void Avoidance for UWSNs (EEDOR-VA), to address the void area problem. EEDOR-VA is a reactive OR protocol that uses a hop count discovery procedure to update the hop count of the intermediate nodes between the source and the destination to form forwarding sets. EEDOR-VA forwarding sets can be selected with less or greater depth than the packet holder (i.e., source or intermediate node). It efficiently prevents all void/trapped nodes from being part of the forwarding sets and data transmission procedure; thereby saving network resources and delivering data packets at the lowest possible cost. The results of our extensive simulation study indicate that the EEDOR-VA protocol outperforms other protocols in terms of packet delivery ratio and energy consumption


2015 ◽  
Vol 15 (11) ◽  
pp. 6584-6591 ◽  
Author(s):  
Chih-Cheng Hsu ◽  
Hsiang-Hung Liu ◽  
Jose Luis Garcia Gomez ◽  
Cheng-Fu Chou

Sensors ◽  
2018 ◽  
Vol 18 (10) ◽  
pp. 3516 ◽  
Author(s):  
Wei Qi ◽  
Wei Liu ◽  
Xuxun Liu ◽  
Anfeng Liu ◽  
Tian Wang ◽  
...  

Software defined networks brings greater flexibility to networks and therefore generates new vitality. Thanks to the ability to update soft code to sensor nodes, wireless sensor networks (WSNs) brings profound changes to Internet of Things. However, it is a challenging issue to minimize delay and transmission times and maintain long lifetime when broadcasting data packets in high loss ratio and low duty cycle WSNs. Although there have been some research concerning code dissemination, those schemes can only achieve a tradeoff between different performances, instead of optimizing all these important performances at the same time. Therefore, in this paper we propose a new strategy that can reduce delay and transmission times simultaneously. In traditional method, the broadcasting nature of wireless communication is not sufficiently utilized. By allowing sons of the same parent node to share awake slots, the broadcasting nature is well exploited and delay is thus reduced as well as transmission times with lifetime not affected. And, as we discover there is energy surplus when collecting data in area away from sink, we further improve this strategy so that all the performances can be further bettered. Compared with traditional method, the methods we design (IFAS, BTAS and AAPS) can respectively reduce delay by 20.56%, 31.59%, 55.16% and reduce transmission times by 29.53%, 43.93%, 42.04%, while not reducing lifetime.


Sensors ◽  
2017 ◽  
Vol 17 (5) ◽  
pp. 1051 ◽  
Author(s):  
Chan Jiang ◽  
Tao-Shen Li ◽  
Jun-Bin Liang ◽  
Heng Wu

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