Time-Efficient High-Rate Data Flooding in One-Dimensional Acoustic Underwater Sensor Networks

Kwon, Jong-Kee; Seo, Bo-Min; Yun, Kyungsu; Cho, Ho-Shin

doi:10.3390/s151127671

Cited by 4 publications

(3 citation statements)

References 18 publications

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“…UWSNs require enhancing the data rate under limited channel capacity because of the poor channel characteristics. Also, a mathematical analyzed mechanism is needed to monitor the power consumption at nodes by numerical values (Kwon et al, 2015). Due to gathering data at the sink, the transmission/reception data cumulatively increases as they are become closer to the sink and so rapid increases in power consumption.…”

Section: Related Workmentioning

confidence: 99%

Hn-PERP: Hop by Hop-Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks

Krishan¹,

Alkhawaldeh²,

Khawaldeh³

et al. 2018

MAS

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Underwater wireless sensor networks (UWSN) have recently been proposed as a way to monitor and explore the water depths’ environments. Efficiently delivering the data is still a challenging problem in these networks because of the weaknesses in the acoustic transmission. To tackle such a problem, we propose a novel algorithm provides controlling mechanisms for critical long-term data forwarding underwater sensor networks, called Hop by Hop Power-Efficient Routing Protocol (Hn-PERP). The proposed Hn-PERP is a centralized full-control model that enhances the network’s throughput and energy efficiency by a set of solutions depend on power monitoring in UWSN nodes. In particular, the model provides a guaranteed mechanism for scheduling and processing data transmission based on number of nodes, hops between the nodes, energy level and congestion within each node to minimize energy levels or power consumption by avoiding disconnected probability for any node, which in turn maximizing the network lifetime. Simulation results show that our proposed model is consistent with energy level and congestion, and is more accurate for enabling routing and data transmission. Therefore, the data packet delivery ratio and overall throughput also achieves robust scenarios of very sparse or/and weak networks, to keep on Performance stability in UWSN via adjusting hop-by-hop delay and energy consumption during packages delivery.

show abstract

Section: Related Workmentioning

confidence: 99%

Hn-PERP: Hop by Hop-Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks

Krishan¹,

Alkhawaldeh²,

Khawaldeh³

et al. 2018

MAS

View full text Add to dashboard Cite

show abstract

“…UWSNs require enhancing the data rate under limited channel capacity because of the poor channel characteristics. Also, a mathematical analysed mechanism is needed to monitor the power consumption at nodes by numerical values [18]. Due to gathering data at the sink, the transmission/reception data cumulatively increases as they are become closer to the sink and so rapid increases in power consumption.…”

Section: Related Workmentioning

confidence: 99%

H<em><sup>n</sup></em>-PERP: Hop by Hop - Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks

Krishan¹,

Alkhawaldeh²,

Khawaldeh³

et al. 2018

Preprint

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Underwater wireless sensor networks (UWSN) have recently been proposed as a way to monitor and explore the water depths' environments. Efficiently delivering the data is still a challenging problem in these networks because of the weaknesses in the acoustic transmission. To tackle such a problem, we propose a novel algorithm provides controlling mechanisms for critical long-term data forwarding underwater sensor networks, called Hop by Hop Power-Efficient Routing Protocol (Hn-PERP). The proposed Hn-PERP is a centralized full-control model that enhances the network's throughput and energy efficiency by a set of solutions depend on power monitoring in UWSN nodes. In particular, the model provides a guaranteed mechanism for scheduling and processing data transmission based on number of nodes, hops between the nodes, energy level and congestion within each node to minimize energy levels or power consumption by avoiding disconnected probability for any node, which in turn maximizing the network lifetime. Simulation results show that our proposed model is consistent with energy level and congestion, and is more accurate for enabling routing and data transmission. Therefore, the data packet delivery ratio and overall throughput also achieves robust scenarios of very sparse or/and weak networks, to keep on Performance stability in UWSN via adjusting hop-by-hop delay and energy consumption during packages delivery.

show abstract

“…An event-driven simulation was carried out in a network simulator developed in Matlab that has been used in our previous published works [ 22 , 23 , 29 , 30 , 31 , 32 , 33 , 34 ] and we considered Thorp’s underwater channel model [ 35 , 36 ]. We consider a 3-km × 3-km underwater plane at a certain depth, where 25 static nodes are randomly distributed.…”

Section: Performance Analysismentioning

confidence: 99%

Network Allocation Vector (NAV) Optimization for Underwater Handshaking-Based Protocols

Cho

Shitiri

Cho

2016

Sensors

Self Cite

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In this paper, we obtained the optimized network allocation vector (NAV) for underwater handshaking-based protocols, as inefficient determination of the NAV leads to unnecessarily long silent periods. We propose a scheme which determines the NAV by taking into account all possible propagation delays: propagation delay between a source and a destination; propagation delay between a source and the neighbors; and propagation delay between a destination and the neighbors. Such an approach effectively allows the NAV to be determined precisely equal to duration of a busy channel, and the silent period can be set commensurate to that duration. This allows for improvements in the performance of handshaking-based protocols, such as the carrier sense multiple access/collision avoidance (CSMA/CA) protocol, in terms of throughput and fairness. To evaluate the performance of the proposed scheme, performance comparisons were carried out through simulations with prior NAV setting methods. The simulation results show that the proposed scheme outperforms the other schemes in terms of throughput and fairness.

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Time-Efficient High-Rate Data Flooding in One-Dimensional Acoustic Underwater Sensor Networks

Cited by 4 publications

References 18 publications

Hn-PERP: Hop by Hop-Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks

Hn-PERP: Hop by Hop-Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks

H<em><sup>n</sup></em>-PERP: Hop by Hop - Power-Efficient Routing Protocol over Underwater Wireless Sensor Networks

Network Allocation Vector (NAV) Optimization for Underwater Handshaking-Based Protocols

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