scholarly journals A Novel Paradigm for Underwater Monitoring Using Mobile Sensor Networks

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4615 ◽  
Author(s):  
Anja Babić ◽  
Ivan Lončar ◽  
Barbara Arbanas ◽  
Goran Vasiljević ◽  
Tamara Petrović ◽  
...  
Keyword(s):  
Decision Making ◽  
Fault Detection ◽  
Environmental Monitoring ◽  
Mobile Sensor Networks ◽  
Experimental Setup ◽  
Collective Decision Making ◽  
Sensor Faults ◽  
Mobile Sensor ◽  
Lagoon Of Venice ◽  
Environmental Anomalies

This paper presents a novel autonomous environmental monitoring methodology based on collaboration and collective decision-making among robotic agents in a heterogeneous swarm developed within the project subCULTron, tested in a realistic marine environment. The swarm serves as an underwater mobile sensor network for exploration and monitoring of large areas. Different robotic units enable outlier and fault detection, verification of measurements and recognition of environmental anomalies, and relocation of the swarm throughout the environment. The motion capabilities of the robots and the reconfigurability of the swarm are exploited to collect data and verify suspected anomalies, or detect potential sensor faults among the swarm agents. The proposed methodology was tested in an experimental setup in the field in two marine testbeds: the Lagoon of Venice, Italy, and Biograd an Moru, Croatia. Achieved experimental results described in this paper validate and show the potential of the proposed approach.

scholarly journals Event-Based Communication and Finite-Time Consensus Control of Mobile Sensor Networks for Environmental Monitoring

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2547 ◽  
Author(s):  
Yu Hu ◽  
Qiang Lu ◽  
Yanzhu Hu
Keyword(s):  
Sensor Networks ◽  
Wireless Communication ◽  
Environmental Monitoring ◽  
Cooperative Control ◽  
Mobile Sensor Networks ◽  
Sensor Nodes ◽  
Mobile Sensor ◽  
Control Scheme ◽  
Communication Module ◽  
Event Based

This paper deals with the problem of environmental monitoring by designing a cooperative control scheme for mobile sensor networks. The proposed cooperative control scheme includes three main modules: a wireless communication module, a direction decision module, and a motion control module. In the wireless communication module, an event-based communication rule is proposed, which means that mobile sensor nodes do not send their positions, velocities, and the data of environmental attributes to the other sensor nodes in real-time for the coordination and control of mobile sensor networks. Due to using the event-based communication rule, the communication bandwidth can be saved. In the direction decision module, a radial basis function network is used to model the monitored environment and is updated in terms of the sampled environmental data and the environmental data from the other sensor nodes by the wireless communication module. The updated environment model is used to guide the mobile sensor network to move towards the region of interest in order to efficiently model the distribution map of environmental attributes, such as temperature, salinity, and pH values for the monitored environment. In the motion control module, a finite-time consensus control approach is proposed to enable the sensor nodes to quickly change their movement directions in light of the gradient information from the environment model. As a result of using the event-based communication rule in the wireless communication module, the proposed control approach can also lower the updating times of the control signal. In particular, the proposed cooperative control scheme is still efficient under the directed wireless communication situation. Finally, the effectiveness of the proposed cooperative control scheme is illustrated for the problem of environmental monitoring.

Islands of Stability: Engaging Emergence from Cellular Automata to the Occupy Movement

2014 ◽  
Vol 5 (1) ◽  
Author(s):  
Andrew Pickering
Keyword(s):  
Decision Making ◽  
Cellular Automata ◽  
Black Box ◽  
Collective Decision ◽  
Collective Decision Making ◽  
Occupy Movement ◽  
History Of ◽  
The 1960S

"Instead of considering »being with« in terms of non-problematic, machine-like places, where reliable entities assemble in stable relationships, STS conjures up a world where the achievement of chancy stabilisations and synchronisations is local.We have to analyse how and where a certain regularity and predictability in the intersection of scientists and their instruments, say, or of human individuals and groups, is produced.The paper reviews models of emergence drawn from the history of cybernetics—the canonical »black box,« homeostats, and cellular automata—to enrich our imagination of the stabilisation process, and discusses the concept of »variety« as a way of clarifying its difficulty, with the antiuniversities of the 1960s and the Occupy movement as examples. Failures of »being with« are expectable. In conclusion, the paper reviews approaches to collective decision-making that reduce variety without imposing a neoliberal hierarchy. "

Formation of requirements for the information system of environmental monitoring

2020 ◽  
pp. 31-34
Author(s):  
CHUNMEI JI
Keyword(s):  
Decision Making ◽  
Information System ◽  
Decision Support ◽  
Environmental Monitoring ◽  
Environmental Uncertainty ◽  
Agricultural Enterprises ◽  
Ecological Uncertainty

The study considers the problem of decision-making in the actvites of agricultural enterprises in conditons of environmental uncertainty. The problem is formalized as a multcriteria conditonal optmizaton problem. The novelty of the work is that the factors are considered as dynamic fuzzy quanttes. The choice of the best alternatve is made between the elements of a predetermined fnite set of alternatves. Based on this formalizaton of the decision-making task, six requirements to the informaton system of decision support in the conditons of ecological uncertainty are formulated.

Relative Distance-Aware Data Delivery Scheme for Delay Tolerant Mobile Sensor Networks

2010 ◽  
Vol 21 (3) ◽  
pp. 490-504 ◽  
Author(s):  
Fu-Long XU ◽  
Ming LIU ◽  
Hai-Gang GONG ◽  
Gui-Hai CHEN ◽  
Jian-Ping LI ◽  
...  
Keyword(s):  
Sensor Networks ◽  
Mobile Sensor Networks ◽  
Relative Distance ◽  
Data Delivery ◽  
Mobile Sensor ◽  
Delay Tolerant
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