Title :
A prediction-based delay-tolerant protocol for underwater wireless sensor networks
Author :
Zhang, Zhanyang ; Lin, Shih-Liang ; Sung, Kai-Tai
Author_Institution :
Comput. Sci. Dept., City Univ. of New York, New York, NY, USA
Abstract :
The propagation speed of an acoustic signal is much slower than the speed of a terrestrial radio signal due to the physical characteristics of an underwater acoustic channel. This large delay can impact the throughput of the channel. There is a very high delay variance which presents unique challenges to the designs of efficient protocols. The inconsistent delay renders many traditional communication protocols insufficient since they rely on accurate estimations of the round trip time (RTT) between two communication nodes. Underwater acoustic channels are inherently unreliable with connection interruptions. In this paper we present a unique approach to develop a prediction based delay-tolerant protocol (PBDTP) to address these problems. The PBDTP protocol can tolerate long delays, inconsistent delays and connection disruptions by predicating a value for a sensor node if its data were not received at the sink node instead of having the sensor node retransmit its data. The PBDTP can reduces data traffic over the networks and uses the network resource more efficiently.
Keywords :
protocols; telecommunication traffic; underwater acoustic communication; wireless sensor networks; acoustic signal; communication protocols; data traffic; network resource; prediction-based delay-tolerant protocol; propagation speed; round trip time; sensor node retransmit; terrestrial radio signal; underwater acoustic channels; underwater wireless sensor networks; Delay; Magnetic heads; Protocols; Throughput; Underwater acoustics; Wireless sensor networks; acoustic propagation delay; dynamic timeout window; prediction based delay-tolerant protocol; underwater acoustic sensor networks;
Conference_Titel :
Wireless Communications and Signal Processing (WCSP), 2010 International Conference on
Conference_Location :
Suzhou
Print_ISBN :
978-1-4244-7556-8
Electronic_ISBN :
978-1-4244-7554-4
DOI :
10.1109/WCSP.2010.5633659