APOLL: Adaptive Polling for Reconfigurable Underwater Data Collection Systems

Autor: Pedro A. Forero, Rajive Bagrodia, Jeffrey Weaver, Wei Liu, Terry Whelan, Lucas Weaver, Jose Chavez
Rok vydání: 2018
Předmět:
Zdroj: 2018 OCEANS - MTS/IEEE Kobe Techno-Oceans (OTO).
DOI: 10.1109/oceanskobe.2018.8559219
Popis: Advances in technology, systems, computation and storage have led to smaller, more capable underwater vessels with reduced capital and operating costs. Long-lived underwater hubs that can operate with minimal human intervention can be networked and deployed together with other underwater vehicles for diverse uses. In this paper, we propose APOLL, an advanced polling-based medium access control (MAC) algorithm that improves on existing CSMA and TDMA algorithms by intelligently allocating transmission opportunities and exploiting known characteristics of the acoustic environment. The paper also presents initial results from a simulation study on the performance of APOLL. The results demonstrate that APOLL outperforms CSMA/MACA-based MAC protocol and TDMA in terms of traffic throughput and channel utilization in typical underwater acoustic environments.
Databáze: OpenAIRE