4.7 Article Proceedings Paper

Efficient Energy and Delay Tradeoff for Vessel Communications in SDN Based Maritime Wireless Networks

Journal

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TITS.2021.3058140

Keywords

Delays; Energy consumption; Optimization; Resource management; Sun; Minimization; Communication networks; Software defined networks; delay tolerant networking; delay-energy tradeoff; Lyapunov optimization

Funding

  1. National Key Research and Development Program of China [2020YFB1806800]
  2. Guangdong Province Basic and Applied Basic Research Foundation [2019B1515120084]
  3. Key Projects of the National Defense Foundation Strengthening Plan [2020-JCJQ-ZD-020-05]
  4. Natural Science Foundation of China [61771086]
  5. China Postdoctoral Science Foundation [2020M682821]

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This study presents a joint sleeping scheduling and opportunistic transmission scheme in delay-tolerant maritime wireless communication networks based on software defined networking, aiming to find a better tradeoff between energy consumption and delay. Mathematical analyses and simulation results show the effectiveness of the proposed allocation scheme for maritime communication networks.
The maritime communication network is assembled by emergent network technologies. However, the adverse maritime environment impedes the efficiency of resources allocation in maritime communication network. Here we show a joint sleeping scheduling and opportunistic transmission scheme in delay-tolerant maritime wireless communication networks based on software defined networking (SDN) to find a better tradeoff between the energy consumption and the delay. Specifically, an energy-limited delay tolerant networking (DTN) node deployed in the ocean receives/transmits data from/to vessels within its communication range. To further save the energy, a long-term energy minimization problem is formulated with sleeping scheduling and opportunistic transmission. After that, a multi-objective minimization problem of energy and delay is first modeled by Lyapunov optimization (LO), which then is solved by convex optimization. Both mathematical analyses and simulation results demonstrate how the maritime communication network allocates satisfactorily with the proposed allocation scheme.

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