Node Deployment of Marine Monitoring Networks: A Multiobjective Optimization Scheme

Abstract

The increasing demands for real-time marine monitoring call for the wide deployment of Marine Monitoring Networks (MMNs). The low-rate underwater communications over a long distance, long propagation delay of underwater acoustic channel, and high deployment costs of marine sensors in a large-scale three-dimensional space bring great challenges in the network deployment and management of MMN. In this paper, we first propose a multitier, hierarchical network architecture of MMN with the support of edge computing (HMMN-EC) to enable efficient monitoring services in a harsh marine environment, taking into consideration the salient features of marine communications. Specifically, HMMN-EC is composed of three subnetworks, i.e., underwater acoustic subnetwork, the sea-surface wireless subnetwork, and the air wireless subnetwork, with a diversity of network nodes with different capabilities. We then jointly investigate the deployment diverse network nodes with various constraints in different subnetworks of HMMN-EC. To this end, we formulate a Multiobjective Optimization (MO) problem to minimize the network deployment cost while achieving the maximal network lifetime, subject to the limited energy of different marine nodes and the complex deployment environment. To solve the formulated problem, we present an Ant-Colony-based Efficient Topology Optimization (AC-ETO) algorithm to find the optimal locations of nodes in different subnetworks of MMN in a large-scale deployment. The time complexity of the proposed algorithm is also analyzed. Finally, extensive simulations are carried out to validate the superior performance of the proposed algorithm compared with some existing solutions.

Research advancements in ocean environmental monitoring systems using wireless sensor networks: a review

“…They have concluded about the features of LoRa technology are long-range communication, low power consumption, and low cost. The LoRa technology can also be utilized for tracking and monitoring small ships [75], which can be very beneficial for aquaculture activities. The experimental reports show that the LoRa Wireless communication technology can cover a wider range of up to 4 Km for marine environmental monitoring.…”

Video Error-Resilience Encoding and Decoding Based on Wyner-Ziv Framework for Underwater Transmission

“…Using the visual perception in deep-sea environments, a variety of video applications can be transmitted through underwater acoustic channels, including seabed exploration, disaster prevention, mine reconnaissance, and environmental monitoring [1][2][3][4]. To fulfill the transmission needs for underwater video data, coding and transmission techniques have been proposed over underwater acoustic networks [5][6][7][8][9]. However, due to the characteristics of acoustic signals, an underwater acoustic communication system typically has three defects: narrow bandwidth, long-distance propagation delay, and errorprone transmission.…”