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Jun-Hong Cui
University of Connecticut
212Publications
40H-index
6,166Citations
Publications 212
Newest
Published on Apr 28, 2019in Sensors3.03
Jun Liu11
Estimated H-index: 11
,
Wenxue Guan + 3 AuthorsManal Al-Bzoor7
Estimated H-index: 7
Deployment of surface-level gateways holds potential as an effective method to alleviate high-propagation delays and high-error probability in an underwater wireless sensor network (UWSN). This promise comes from reducing distances to underwater nodes and using radio waves to forward information to a control station. In an UWSN, a dynamic energy efficient surface-level gateway deployment is required to cope with the mobility of underwater nodes while considering the remote and three-dimensional ...
Published on Mar 1, 2019in IEEE Systems Journal4.46
Yu Luo7
Estimated H-index: 7
(SDSM&T: South Dakota School of Mines and Technology),
Lina Pu9
Estimated H-index: 9
(SDSM&T: South Dakota School of Mines and Technology)
+ 1 AuthorsJun-Hong Cui40
Estimated H-index: 40
(UConn: University of Connecticut)
In this paper, we propose a new communication scheme, called the mirror node assisted communication (MNAC), to improve the channel efficiency in underwater sensor networks (UWSNs). In the new scheme, a mirror node is selected properly for each specified source node so that the signals from the source and the mirror nodes could add destructively at a protected receiver. This new communication scheme could prevent potential intrusions to the communication between the protected receiver and its int...
Published on Mar 1, 2018in IEEE Systems Journal4.46
Li Wei4
Estimated H-index: 4
(UConn: University of Connecticut),
Zigeng Wang2
Estimated H-index: 2
(UConn: University of Connecticut)
+ 2 AuthorsJun-Hong Cui40
Estimated H-index: 40
(UConn: University of Connecticut)
A wireless oceanographic system is an underwater wireless-networked sensing system for oceanographic data collection, remote monitoring, and control. It represents a cutting-edge technology that could eliminate the need of long and expensive subsea cables while featuring real-time acquisition, flexible, and convenient deployment. Mainly powered by batteries, the wireless oceanographic system calls for power efficient deployment plans to extend the system lifetime. In this work, we first propose ...
Published on Jun 1, 2017in IEEE Wireless Communications Letters3.55
Yu Luo7
Estimated H-index: 7
(SDSM&T: South Dakota School of Mines and Technology),
Lina Pu9
Estimated H-index: 9
(SDSM&T: South Dakota School of Mines and Technology)
+ 1 AuthorsJun-Hong Cui40
Estimated H-index: 40
(UConn: University of Connecticut)
In this letter, we study delay uncertainties of a real underwater system on sending and receiving acoustic signals. Based on experimental data, the delay is first decomposed into seven components, then the features of each component are studied carefully. According to the analysis, it is exciting to conclude that the temporal pattern of some delay components are predictable to a certain extent, which can be utilized to reduce the delay uncertainties. Finally, the time synchronization is provided...
Published on Jan 1, 2017in IEEE Transactions on Mobile Computing4.47
Yu Luo7
Estimated H-index: 7
(UConn: University of Connecticut),
Lina Pu9
Estimated H-index: 9
(UConn: University of Connecticut)
+ 3 AuthorsJun-Hong Cui40
Estimated H-index: 40
(UConn: University of Connecticut)
Cognitive acoustic (CA) is emerging as a promising technique for environment-friendly and spectrum-efficient underwater communications. Due to the unique features of underwater acoustic networks (UANs), traditional spectrum management systems designed for cognitive radio (CR) need an overhaul to work efficiently in underwater environments. In this paper, we propose a receiver-initiated spectrum management (RISM) system for underwater cognitive acoustic networks (UCANs). RISM seeks to improve the...
Published on Jul 1, 2016in IEEE Journal of Oceanic Engineering2.57
Hao Zhou9
Estimated H-index: 9
,
Xiaoka Xu8
Estimated H-index: 8
(UConn: University of Connecticut)
+ 2 AuthorsJun-Hong Cui40
Estimated H-index: 40
(UConn: University of Connecticut)
In this paper, we investigate the power amplification for underwater acoustic orthogonal frequency-division multiplexing (OFDM) systems. The maximum power delivery (MPD) and the pilot signal-to-noise ratio (PSNR) specific to the OFDM modulation are adopted as design criteria. We study the impact of key parameters associated with the pulse-width modulation (PWM), such as the modulation frequency, the number of quantization bits, and the input clipping threshold, and provide a suitable procedure t...
Published on Apr 1, 2016
Yu Luo7
Estimated H-index: 7
(UConn: University of Connecticut),
Lina Pu9
Estimated H-index: 9
(UConn: University of Connecticut)
+ 1 AuthorsJun-Hong Cui40
Estimated H-index: 40
(UConn: University of Connecticut)
In recent years, the underwater cognitive acoustic network (UCAN) has been advocated as an efficient technique to enhance the utilization of acoustic channel, while not interrupting the activity of marine mammals, sonars and other acoustic users. In cognitive radios, the common control channel (CCC) based media access control (MAC) protocols are very popular for their high reliability, easy implementation and low overhead. However, due to the severe frequency-dependent attenuation of acoustic wa...
Published on Mar 1, 2016in IEEE Transactions on Mobile Computing4.47
Jun Liu11
Estimated H-index: 11
(JLU: Jilin University),
Zhaohui Wang15
Estimated H-index: 15
(MTU: Michigan Technological University)
+ 2 AuthorsBo Yang13
Estimated H-index: 13
(SJTU: Shanghai Jiao Tong University)
Time synchronization and localization are basic services in a sensor network system. Although they often depend on each other, they are usually tackled independently. In this work, we investigate the time synchronization and localization problems in underwater sensor networks, where more challenges are introduced because of the unique characteristics of the water environment. These challenges include long propagation delay and transmission delay, low bandwidth, energy constraint, mobility, etc. ...
Published on Feb 1, 2016in IEEE Communications Magazine10.36
Xi Zhang39
Estimated H-index: 39
(UM: University of Michigan),
Jun-Hong Cui40
Estimated H-index: 40
(UCLA: University of California, Los Angeles)
+ 2 AuthorsMandar Chitre23
Estimated H-index: 23
(NUS: National University of Singapore)
The Earth is a water planet, two-thirds of which is covered by water. With the rapid developments in technology, underwater wireless communications and networks have become a fast growing field, with broad applications in commercial and military waterbased systems. The need for underwater wireless communications exists in applications such as remote control in the off-shore oil industry, pollution monitoring in environmental systems, collection of scientific data from ocean-bottom stations, disa...
Published on Jan 1, 2016
Yu Luo7
Estimated H-index: 7
,
Lina Pu9
Estimated H-index: 9
+ 1 AuthorsJun-Hong Cui40
Estimated H-index: 40
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