MMNET: A Multi-Modal Network Architecture for Underwater Networking

Abstract

At present, the key to underwater sensor network (UWSN) research is to provide personalized network support for many underwater applications. In order to achieve this goal, people need a general UWSN. Most of the current UWSN architecture is based on the traditional network, which are limited to a single hardware platform and software platform. Facing the current numerous underwater applications and heterogeneous networks, the UWSN is unable to provide personalized network services according to different application requirements. In this paper, we propose a heterogeneous network framework called MMNET (multimodal network) based on the idea of multimodality, aiming to achieve the compatibility of heterogeneous networks and the scalability of the new architecture. In addition, in the face of the complexity of heterogeneous networks and the personalized needs of network applications, the resource allocation is expressed as a personalized recommendation problem. The distributed personalized recommendation algorithm is used to configure personalized network resources for applications. Each node only needs to solve its own problems, instead of exchanging channel state information by using a distributed algorithm, so the computational complexity can be greatly reduced and signaling is overhead. Finally, we give a special example to prove that our network framework provides a good application.

Hybrid Deep Learning-Based Adaptive Multiple Access Schemes Underwater Wireless Networks

“…MM-NET is modelled with software-defined ratio, NDN routing, and address-based routing structure for sensors communication. The significant purpose of MM-NET is to support heterogeneous hardware structures at the front ends and provide secured communication through various MAC layers [20]. Nodes are interlinked in a distributed method called the KNN model.…”

An Underwater Cooperative Spectrum Sharing Protocol for a Centralized Underwater Cognitive Acoustic Network

“…Third, other previous works, except for resource allocation, include routing, framework design, or connectivity analysis, and they are outlined as follows: In [ 33 ], an efficient bandwidth-aware routing was proposed to improve the throughput and spectral efficiency of a UCAN. In this study, an optimization problem is derived to maximize the spectrum utilization by taking into account the bandwidth requirement of CUs and analyzing the activities of NCUs under the assumption of an ON–OFF channel model; In [ 9 ], a marine mammal-friendly based high spectral-efficient routing (MF-HER) protocol was proposed to improve spectrum utilization and protect underwater animals for underwater acoustic sensor networks. In this study, the detour route is determined among the multiple routes to exclude the route where any animals are detected; In [ 12 ], a study was conducted that modeled and analyzed the connectivity and coverage of CUs in a distributed underwater network in order to guarantee their QoS.…”

“…In [ 9 ], a marine mammal-friendly based high spectral-efficient routing (MF-HER) protocol was proposed to improve spectrum utilization and protect underwater animals for underwater acoustic sensor networks. In this study, the detour route is determined among the multiple routes to exclude the route where any animals are detected;…”

“…This implies that there is no channel plan, such that any users (or nodes) equipped to a different communication modem can potentially interfere with another. In addition, noncommunication interferers, such as underwater mammals, shipping noises, and sonar devices for mapping or positioning, may coexist in the water [ 8 , 9 ]. They generate uninterpretable acoustic signals, and even the occurrence of these signals is unpredictable [ 10 ].…”

A software-defined multi-modal wireless sensor network for ocean monitoring

“…A hybrid software-defined optical and acoustic network architecture is presented in the work of Celik et al, 7 in which the authors leverage both optical and acoustic communication systems and NFV to meet diverse underwater application demands. Multimodal network (MMNET) is proposed in the work of Liu et al, 47 which uses a distributed personalized recommendation algorithm to configure network resources based on heterogeneous multi-modal network architecture.…”