Jin Zhi-Gang, Su Yi-Shan, Liu Zi-Xin, Dou Fei. Motion Prediction Based MAC for Underwater Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2013, 35(3): 728-734. doi: 10.3724/SP.J.1146.2012.00970
Citation:
Jin Zhi-Gang, Su Yi-Shan, Liu Zi-Xin, Dou Fei. Motion Prediction Based MAC for Underwater Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2013, 35(3): 728-734. doi: 10.3724/SP.J.1146.2012.00970
Jin Zhi-Gang, Su Yi-Shan, Liu Zi-Xin, Dou Fei. Motion Prediction Based MAC for Underwater Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2013, 35(3): 728-734. doi: 10.3724/SP.J.1146.2012.00970
Citation:
Jin Zhi-Gang, Su Yi-Shan, Liu Zi-Xin, Dou Fei. Motion Prediction Based MAC for Underwater Wireless Sensor Networks[J]. Journal of Electronics & Information Technology, 2013, 35(3): 728-734. doi: 10.3724/SP.J.1146.2012.00970
Due to marine dynamics, sensor nodes of Underwater Wireless Sensor Networks (UWSN) are always in a state of constant motion. Together with low propagation speed of acoustic signal, nodes mobility brings challenge to UWSN MAC. A motion model of underwater node is established to solve the multiple access problems for underwater mobile networks. Based on AR mobility prediction algorithm, the negative effect of space-time uncertainty can be reduced and the probability that sending information arrives in the reservation slot can be improved. The simulation results show that AR(5) algorithm can decrease 74.8% of delay detection error. A new contention-based MAC protocol: P-MAC is proposed. NS-2 simulation results show that P-MAC can get a 10% -15% higher Packet Receptipn Rate (PRR) under the circumstance of wave motion.