Objective Function Optimization Based Time-competition Forwarding Strategy in Internet of Marine Things

The rapidly growing data amount brings a great challenge to the various marine communications conditions with the limited resources such as energy, band width and channel capabilities in the Internet of Marine things (IoMaT). A large number of redundant data increases the network load, wastes the energy, and enlarges the probability of data conflict and network congestion. The paper proposes the time-competition forwarding strategy based on objective function optimization (OFO) to prevent redundant forwarding data copies from communication as much as possible, aiming at comprehensive optimization of network performance. The layer-based set of effective relay nodes and complete object function lessen the number of potential forwarding-nodes and avoids the multiple duplicate forwarding. Meantime, the acoustic velocity of ocean is considered into the objective function to optimize the transmission time. The simulation results demonstrate that the proposed strategy can effectively reduce the network traffic and perform well in term of the balance of energy consumption, the network lifetime, the packet delivery ratio, the data conflict and the network congestion.