A new MAC based on RTT prediction for underwater acoustic networks

Chen, Yankun; Ji, Fei; Guan, Quansheng; Chen, Fangjiong; Yu, Hua

doi:10.1145/2999504.3001072

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…This severely limits the amount of data that can be sent in a channel, as this is proportional to the frequency. Waves with frequencies greater than 1 MHz are rapidly absorbed in an underwater environment [21].…”

Section: Introductionmentioning

confidence: 99%

EBVBF: Energy Balanced Vector Based Forwarding Protocol

et al. 2019

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Nowadays, one of the biggest problems of underwater networks is the energy consumption in the communication of sensor nodes. Moreover, sensor nodes rescue operations because of the battery starvation is a high-cost activity. With this in mind, this paper proposes a routing protocol called energy balanced vector-based forwarding (EBVBF), whose main objective is to increase the lifetime of an underwater network and to balance the energy consumption of the sensor nodes, avoiding the creation of void zones that can lead to complete interruption of communication between certain nodes and sink nodes, therefore reducing the number of rescue operations and maintenance in an underwater environment, an element very important in the places of difficult access. A simulated performance analysis is carried out by using the proposed protocol in an environment with nodes in movement showing the gain in energy saving in a balanced way and the increase of network lifetime. INDEX TERMS Acoustic networks, routing protocol, WSN.

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Section: Introductionmentioning

confidence: 99%

EBVBF: Energy Balanced Vector Based Forwarding Protocol

et al. 2019

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“…There have been significant recent research efforts focused on the analysis and design of underwater networks [1][2][3][4], including medium access control [5][6][7][8], and routing protocols [9][10][11][12][13]. The study of underwater acoustic networks needs to take into consideration a number of design aspects that arise due to the underwater transmission medium.…”

Section: Introductionmentioning

confidence: 99%

Distortion Performance of Convolutionally Coded Underwater Acoustic Networks

Stefanov¹

2016

Fourth International Conference on Advances in Computing, Electronics and Communication - ACEC 2016

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Abstract-The paper studies the impact of point-to-point convolutional channel coding on the sustainable number of hops through the network for a maximum allowed route distortion requirement. The network is modeled by a uniform distribution of nodes over a finite area. The node-to-node channel is described by the Ricean fading model, while the interference from other nodes in the network is modeled as Gaussian. Numerical examples are presented to illustrate the results of the analysis.

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