scholarly journals Probabilistic Neighborhood Location-Point Covering Set-Based Data Collection Algorithm With Obstacle Avoidance for Three-Dimensional Underwater Acoustic Sensor Networks

IEEE Access ◽  
2017 ◽  
Vol 5 ◽  
pp. 24785-24796 ◽  
Author(s):  
Guangjie Han ◽  
Hao Wang ◽  
Shanshan Li ◽  
Jinfang Jiang ◽  
Wenbo Zhang
Sensors ◽  
2015 ◽  
Vol 15 (3) ◽  
pp. 6009-6032 ◽  
Author(s):  
Zhihua Liu ◽  
Han Gao ◽  
Wuling Wang ◽  
Shuai Chang ◽  
Jiaxing Chen

Sensors ◽  
2017 ◽  
Vol 17 (2) ◽  
pp. 316 ◽  
Author(s):  
Guangjie Han ◽  
Shanshan Li ◽  
Chunsheng Zhu ◽  
Jinfang Jiang ◽  
Wenbo Zhang

Sensors ◽  
2018 ◽  
Vol 18 (7) ◽  
pp. 2300 ◽  
Author(s):  
Min Deng ◽  
Huifang Chen ◽  
Lei Xie

In underwater acoustic sensor networks (UASNs), medium access control (MAC) is an important issue because of its potentially significant effect on the network performance. However, designing a suitable MAC protocol for the UASN is challenging because of the specific characteristics of the underwater acoustic channel and network, such as limited available bandwidth, long propagation delay, high bit-error-rate, and sparse network topology. In addition, as the traffic load is non-uniformly distributed in a UASN for data collection, it is essential to consider the application feature for the MAC protocol. In this paper, we propose a MAC protocol in a data-collection-oriented UASN, abbreviated as the DCO-MAC protocol. In the proposed protocol, the network is partitioned into two kinds of sub-networks according to the traffic load. A contention-based MAC protocol is used in the sub-network with a light traffic load, while a reservation-based MAC protocol is used in the sub-network with a heavy traffic load. Meanwhile, the DCO-MAC protocol supports the access of mobile nodes. The theoretical analysis and simulation results demonstrate that, in a UASN for data collection, the proposed MAC protocol outperforms the other existing MAC protocols, in terms of the network throughput, end-to-end packet delay, energy overhead, and fairness.


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