Improved DBR routing protocol for underwater acoustic sensor networks

被引：0
作者：
Yu, Haitao [1 ,3 ]
Yao, Nianmin [2 ]
Gao, Zhenguo [2 ]
Lu, Zhimao [2 ]
Chen, Bingcai [2 ]
机构：
[1] College of Computer Science and Technology, Harbin Engineering University, NanGang District, Harbin
[2] College of Computer Science and Technology, Dalin University of Technology, Ganjingzi District, Dalian
[3] College of Computer Science and Information Technology, Daqing Normal University, Ranghulu District, Daqing
来源：
Sensor Letters | 2014年 / 12卷 / 02期
关键词：
Expected next-hop; Forwarding node; Ns-3; simulator; Routing protocol; Underwater acoustic sensor network;
D O I：
10.1166/sl.2014.3259
中图分类号：
学科分类号：
摘要：
Designing an efficient routing protocol for underwater acoustic sensor networks is a great chanllenge because of the adverse enviroment factors, such as long propagation, high code error rate, high mobility and limited bandwidth. Many routing protocols have been presented for underwater sensor networks, but most of them only consider one-hop forwarding nodes in making the local routing decision. Due to the void-hole caused by the uneven distribution of nodes and sparse deployment, selecting forwarding nodes based on one-hop nodes may result in the fail of routing in the local region. In this paper, we present a novel multi-sink structure routing protocol, improved DBR routing protocol (IDBR). The novelty of IDBR lies in: during the process of selecting forwarding nodes, IDBR considers not only the current node but also the expected next-hop forwarding nodes, thus reducing the probability of encountering void-holes and selecting the better routing path than DBR. To evaluate the network performance of IDBR, the extensive simulation experiments are conducted over the randomly-generated underwater acoustic sensor networks using ns-3 simulator. The experimental results showed that IDBR outperformed than DBR protocol in terms of energy efficiency, end-to-end delay and data delivery ratio, especially in sparsely-distributed underwater acoustic sensor networks. Copyright © 2014 American Scientific Publishers.
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页码：230 / 235
页数：5
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