Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/107497
Title: | ATCFS : effective connectivity restoration scheme for underwater acoustic sensor networks | Authors: | Liu, Lingfeng Ma, Maode Liu, Chunfeng Qu, Wenyu Zhang, Gang Shu, Yantai |
Keywords: | Engineering::Electrical and electronic engineering Computer Network Performance Network Reliability |
Issue Date: | 2019 | Source: | Liu, L., Ma, M., Liu, C., Qu, W., Zhang, G., & Shu, Y. (2019). ATCFS : effective connectivity restoration scheme for underwater acoustic sensor networks. IEEE Access, 7, 87704-87715. doi:10.1109/ACCESS.2019.2921617 | Series/Report no.: | IEEE Access | Abstract: | Underwater acoustic sensor network (UASN) has become one of the enabling technologies for the development of future ocean observation systems (OOSs). However, the UASN could be severely damaged because of the harsh environment that causes the simultaneous failure of many sensor nodes, thus leading to the partition of the network into multiple disconnected segments. In this paper, we studied the crucial issue to reestablish the network connectivity with the least quantity of employed relay nodes. To achieve a clear understanding of the issue, we present its integer nonlinear programming formulation, which is generally NP-hard. So, with the aim of solving the problem efficiently, an original heuristic scheme is proposed in this paper. Two fundamental algorithms are integrated into the scheme, namely, alternating tree construction and Fermat-point selection (ATCFS) as a whole. The results of extensive simulation experiment have confirmed that the ATCFS can solve this problem simply and effectively. | URI: | https://hdl.handle.net/10356/107497 http://hdl.handle.net/10220/49701 |
DOI: | 10.1109/ACCESS.2019.2921617 | Schools: | School of Electrical and Electronic Engineering | Rights: | © 2019 IEEE. Articles accepted before 12 June 2019 were published under a CC BY 3.0 or the IEEE Open Access Publishing Agreement license. Questions about copyright policies or reuse rights may be directed to the IEEE Intellectual Property Rights Office at +1-732-562-3966 or copyrights@ieee.org. | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Journal Articles |
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