Underwater communication: current research work at SIGNET

When: Friday the 8th of April 2016

What: two talks on current the research work on Underwater Communications that is being carried out at SIGNET (Speakers are: Filippo Campagnaro and Roee Diamant) 

Speaker: Filippo Campagnaro, Time: 14:30-14:50.

Title: Implementation of a Multi-modal Acoustic-Optic Underwater Network Protocol Stack

Abstract. We describe the implementation of a protocol stack for multi-modal underwater networks, where multiple physical layer technologies are available to each node. This condition implies greater flexibility, by allowing each node to decide how to serve specific transmissions and traffic classes depending on system, quality-of-service, and application-specific policies implemented in a controller. In this paper, we describe the implementation details of an acoustic/optic multi-modal underwater network stack through the DESERT Underwater framework. Our system services various traffic types of different quality-of-service demands, and allows mobility. Extensive numerical results show that our multi-modal system offers greater throughput, robustness to mobility and traffic types, and provides much lower service delay.

Speaker: Roee Diamant, Time: 14:50-15:10

Title: A TDMA-based MAC Protocol Exploiting the Near-Far Effect in Underwater Acoustic Networks

Abstract. A prime source of collisions in underwater acoustic communication networks (UWANs) is the so called near-far effect, where a node located farther from the receiver is jammed by a closer node. While common practice considers such situation as a challenge, in this paper we consider it as a resource, and use it to increase network throughput of spatial reuse time-division multiple access. We propose a transmission allocation algorithm that opportunistically utilizes information on occurrences of near-far scenarios in UWANs to maximize channel utilization. Numerical results show that, at a slight cost in terms of fairness, our scheduling solutions achieve higher throughput and lower transmission delay than benchmark spatial-reuse scheduling protocols. To allow the reproducibility of our results, we publish the implementation of our proposed algorithm.