Towards automated design of MAC protocols for underwater wireless networks
Proceedings of the third ACM international workshop on Underwater Networks
RL-based superframe order adaptation algorithm for IEEE 802.15.4 networks
CCDC'09 Proceedings of the 21st annual international conference on Chinese control and decision conference
Optimization of energy efficient transmission in underwater sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Noninteractive pairwise key establishment for sensor networks
IEEE Transactions on Information Forensics and Security
An OFDM based MAC protocol for underwater acoustic networks
Proceedings of the Fifth ACM International Workshop on UnderWater Networks
IEEE/ACM Transactions on Networking (TON)
Scheduling granularity in underwater acoustic networks
Proceedings of the Sixth ACM International Workshop on Underwater Networks
Significance-based energy-efficient path selection for multi-source underwater sensor networks
International Journal of Sensor Networks
PMAC: a real-world case study of underwater MAC
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
ROSS: receiver oriented sleep scheduling for underwater sensor networks
Proceedings of the Eighth ACM International Conference on Underwater Networks and Systems
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Underwater sensor networks are significantly different from terrestrial sensor networks in that sound is mainly used as the communication medium. The long propagation delay and limited bandwidth of acoustic channels make the existing MAC protocols designed for radio networks either unpractical or not energy efficient for underwater sensor networks. In this paper, we propose a reservation-based MAC protocol, called R-MAC. The major design goals of R-MAC are energy efficiency and fairness. R-MAC schedules the transmissions of control packets and data packets to avoid data packet collision completely. The scheduling algorithms not only save energy but also solve the exposed terminal problem inherited in RTS/CTS-based protocols. Furthermore, the scheduling algorithms allow nodes in the network to select their own schedules, thus loosening the synchronization requirement the protocol. Additionally, R-MAC supports fairness. By simulations, we show that R-MAC is an energy efficient and fair MAC solution for underwater sensor networks.