QoS Provisioning in Underwater Acoustic Sensor Networks with 3-Dimensional Topology

Title
QoS Provisioning in Underwater Acoustic Sensor Networks with 3-Dimensional Topology
Author(s)
Song, Yujae; Peng-Yong Kong
KIOST Author(s)
Song, Yujae(송유재)
Publication Year
2019-10-18
Abstract
In this work, we study the issue of providing quality-of-service (QoS) in terms of packet delay and packet error probability in 3-dimensional (3D) underwater acoustic sensor networks (UASNs). It is assumed that each underwater sensor communicates with its corresponding sink node using slotted ALOHA, which is the representative random access-based medium access control (MAC) protocol in UASNs. To measure the QoS metrics, we develop an analytical model, in which each underwater sensor following slotted-ALOHA is modeled as an M/G/1 queue in the MAC layer. Then, we analyze the performance of mean packet delay of each underwater sensor in 3D UASNs. Using the proposed analytical model, we formulate an optimization problem which seeks to find the minimum sink density while guaranteeing the lower bound of an acceptable SINR corresponding to the upper bound of the pre-determined acceptable packet error probability. Numerical results show not only the mean packet delay performance of each underwater sensor following slotted ALOHA but also the optimal sink density for various parameter values.
URI
https://sciwatch.kiost.ac.kr/handle/2020.kiost/22242
Bibliographic Citation
10th International Conference on Information and Communication Technology Convergence, pp.1 - 5, 2019
Publisher
IEEE
Type
Conference
Language
English
Publisher
IEEE
Related Researcher
Research Interests

Maritime 5G and B5G,Maritime IoT,Deep reinforcement learning and its maritime applications,차세대 해양통신,해양 IoT,심층강화학습 및 해양통신 적용

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