DA-Sync: A Doppler-Assisted Time-Synchronization Scheme for Mobile Underwater Sensor Networks

Liu, Jun; Wang, Zhaohui; Zuba, Michael; Peng, Zheng; Cui, Jun-Hong; Zhou, Shengli

doi:10.1109/tmc.2013.13

Cited by 71 publications

(31 citation statements)

References 34 publications

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“…In order to compare the Hybrid time synchronization accuracy versus the recent studies of time synchronization [9], Doppler scaling should be added to our tests.…”

Section: Discussionmentioning

confidence: 99%

Hybrid time synchronization for Underwater Sensor Networks

Valls¹,

Bouvet

Rı́o³

2015

ACTA IMEKO

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<p>Time synchronization is a critical part of distributed applications over a sensor network. In this work we investigate time synchronization problems over UWSN deployed in shallow water, taking into account all main communication challenges of the water channel and observing its behavior in simulation and real tests. A hybrid frame was proposed based on time synchronization using both LFM and OFDM communication with channel impulse response equalization. Simulation results show how Hybrid synchronization outperforms existing synchronization protocols and how these results are affected in real underwater tests.</p>

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“…In order to compare the Hybrid time synchronization accuracy versus the recent studies of time synchronization [9], Doppler scaling should be added to our tests.…”

Section: Discussionmentioning

confidence: 99%

Hybrid time synchronization for Underwater Sensor Networks

Valls¹,

Bouvet

Rı́o³

2015

ACTA IMEKO

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“…A synchronization algorithm for UWSNs must consider additional factors, such as long propagation delays from the use of acoustic communication and sensor node mobility. Many time synchronization approaches have been proposed for different network topologies [14][15][16][17]. The approach in [17] is designed for the same network topology as ours.…”

Section: Centralized Localization Versus Distributed Localizationmentioning

confidence: 99%

Hybrid Localization Approach for Underwater Sensor Networks

Tsai

Wang

2017

Journal of Sensors

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Underwater Wireless Sensor Networks (UWSNs) are widely used to collect data in the marine environment. Location and time are essential aspects when sensors collect data, particularly in the case of location-aware data. Many studies on terrestrial sensor networks consider sensor locations as the locations where data is collected and focus on sensor positioning when sensors are fixed. However, underwater sensors are mobile networks and the sensor locations change continuously. Localization schemes designed for static sensor networks need to run periodically to update locations and consume considerable sensor power and increase the communication overhead; hence, they cannot be applied to UWSNs. This paper presents a hybrid localization approach with data-location correction, called Data Localization Correction Approach (DLCA), which positions data without additional communication overhead and power consumption on sensors. Without loss of generality, we simulate the ocean environment based on a kinematic model and meandering current mobility model and conduct extensive simulations. Our results show that DLCA can significantly reduce communication costs, while maintaining relatively high localization accuracy.

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“…The packet delivery ratio gain with respect to the packet arrival rate is evaluated. Liu et al [10] have introduced a Doppler-assisted time synchronization scheme, where the mobile Doppler scaling factor is estimated to gather relative movement velocities of sensor nodes. A model is developed to establish the relationship between the joint and individual Doppler effects caused by sensor mobility and clock skew.…”

Section: Related Workmentioning

confidence: 99%

The Alive-in-Range Medium Access Control Protocol to Optimize Queue Performance in Underwater Wireless Sensor Networks

Raina¹,

Jha²,

Bhattacharya³

2017

JTIT

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Abstract-Time synchronization between sensor nodes to reduce the end-to-end delay for critical and real time data monitoring can be achieved by cautiously monitoring the mobility of the mobile sink node in underwater wireless sensor networks. The Alive-in-Range Medium Access Control (AR-MAC) protocol monitors the delay of sensitive, critical and real-time data. The idea evolves as it involves reduction in duty cycle, precise time scheduling of active/sleep cycles of the sensors, monitoring the mobility of the sink node with the selection of appropriate queues and schedulers. The model for the path loss due to attenuation of electromagnetic wave propagation in the sea water is explained. The three-path reflection model evaluating reflection loss from the air-water and watersand interfaces as a function of distance between sensors and water depth is introduced. The algorithms for effective path determination and optimum throughput path determination are elaborated. The results verify that implementation of the Alive-in-Range MAC protocol has reduced the total number of packets dropped, the average queue length, the longest time in queue, the peak queue length and the average time in queue significantly, making it relevant for critical and real-time data monitoring.Keywords-Alive-in-Range MAC, effective path determination, mobile sink, optimum throughput path determination, underwater wireless sensor network.

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DA-Sync: A Doppler-Assisted Time-Synchronization Scheme for Mobile Underwater Sensor Networks

Cited by 71 publications

References 34 publications

Hybrid time synchronization for Underwater Sensor Networks

Hybrid time synchronization for Underwater Sensor Networks

Hybrid Localization Approach for Underwater Sensor Networks

The Alive-in-Range Medium Access Control Protocol to Optimize Queue Performance in Underwater Wireless Sensor Networks

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