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Multi-Layer Networks and Routing Protocols for Aquatic Robotic Swarm Management
Maria MANNONE, Peppino Fazio, Norbert MARWAN, Achille GIACOMETTI
DOI: 10.15598/aeee.v22i2.5595
Abstract
The paradigm of multi-layer networks can help devise a set of robotic swarms interacting with mobile computing centrals. We present here a network and routing modeling for swarm robotics in aquatic environment, modeled upon multi-layer networks. Joining concepts and techniques from different disciplines allows us building a robust system with potential practical applications in scenarios such as environmental care. We discuss our results and further developments of the proposed approach.
Keywords
References
SCHRANZ, M. et al. Swarm Robotic Behaviors
and Current Applications. Frontiers in Robotics
and AI. 2020, vol. 7, 2020, doi: https://doi.
org/10.3389/frobt.2020.00036.
HAMANN, H. Swarm Robotics: A Formal Ap-
proach. Cham: Springer, 2018.
DE RANGO, F., N. PALMIERI, X.S. YANG et
al. Swarm robotics in wireless distributed proto-
col design for coordinating robots involved in co-
operative tasks. Springer Soft Computing, vol. 7,
no. 4, pp. 4251–4266, 2018, doi: https://doi.
org/10.1007/s00500-017-2819-9.
DE DOMENICO, M., C. GRANELL, M.
PORTER, A. & ARENAS. The physics of spread-
ing processes in multilayer networks. Nature
Physics. 2016, vol. 8
PALMIERI, N., X.S. YANG, F. DE RANGO
et al.. Comparison of bio-inspired algorithms ap-
plied to the coordination of mobile robots con-
sidering the energy consumption. Springer Neu-
ral Computing and Applications, vol. 31, pp. 263–
, 2019, doi: https://doi.org/10.1007/
s00521-017-2998-4.
TROPEA, M., N. PALMIERI, F. DE RANGO.
Modeling the coordination of a multiple robots
using nature inspired approaches. In: Pro-
ceedings of Communications in Computer and
Information Science (CCIS), 2020, pp. 124–
, doi: https://doi.org/10.1007/
-3-030-45016-8$_$13.
BJORGO SAKSVIK, I., A. ALCOCER, and V.
HASSANI. A Deep Learning Approach To Dead-
Reckoning Navigation For Autonomous Under-
water Vehicles With Limited Sensor Payloads.
In: Proceedings of IEEE Oceans, San Diego
– Porto, 2021, doi: https://doi.org/10.
/OCEANS44145.2021.9706096.
KLEIN, I., and R. DIAMANT. Dead Reckoning
for Trajectory Estimation of Underwater Drifters
under Water Currents. Journal of Marine Sci-
ence and Engineering, 2020, Vol. 8 Issue 3, doi:
https://doi.org/10.3390/jmse8030205.
DEEPIKA, S., N. NISHANTH, A. MUJEEB. An
Assessment of Recent Advances in AODV Rout-
ing Protocol Path Optimization Algorithms for
Mobile Ad hoc Networks. Fourth International
Conference on Microelectronics, Signals & Sys-
tems, pp. 1–6, 2021, doi: https://doi.org/
1109/ICMSS53060.2021.9673632.
AL-ZAHRANI, F. A. On Modeling Optimizations
and Enhancing Routing Protocols for Wireless
Multihop Networks. In: IEEE Access, vol. 8, pp.
–68973, 2021, doi: https://doi.org/
1109/ACCESS.2020.2986010.
VAN DEN ABEELE, F., J. HAXHIBEQIRI, I.
MOERMAN, and J. HOEBEKE. Scalability Anal-
ysis of Large-Scale LoRaWAN Networks in ns-
IEEE Internet of Things Journal, vol. 4, no.
, 2017, doi: https://doi.org/10.1109/
JIOT.2017.2768498.
GÓMEZ, S., A., DÍAZ-GUILERA, J. GÓMEZ-
GARSE ̃NES, C. PÉREZ-VICENTE, Y.
MORENO, and A: ARENAS. Diffusion Dy-
namics on Multiplex Networks. Physical Review
Letters. 110, 028701 (2013,1)
SOLÉ-RIBALTA, A., S. GÓMEZ, and A. ARE-
NAS. Congestion Induced by the Structure of
Multiplex Networks. Physical Review Letters. 116,
(2016,3).
GRANELL, C., C. GÓMEZ, C. GRANELL, S.
GÓMEZ, and A. ARENAS. Competing spreading
processes on multiplex networks: Awareness and
epidemics. Physical Review E. 90, 012808 (2014,7)
EBERHART, R., Y. SHI, & J. KENNEDY.
Swarm Intelligence. Burlington, MA, USA: Mor-
gan Kaufman, 2001.
MANNONE, M., V. SEIDITA, A. CHELLA.
Modeling and designing a robotic swarm:
A quantum computing approach. Swarm and
Evolutionary Computation. 2023, 79, 101297,
doi: https://doi.org/10.1016/j.swevo.
101297.
MANNONE, M., V. SEIDITA, A. CHELLA,
A. GIACOMETTI, and P. FAZIO, P. Energy
and SNR-Aware Robotic Swarm Coordination
for Aquatic Cleaning Operations. In: Proceed-
ings of IEEE Vehicular Technology Conference
- VTC, VTC Spring 2023 Proceedings, IEEE,
pp. 1-7, doi: https://doi.org/10.1109/
VTC2023-Spring57618.2023.10200327.
MANNONE, M., N. MARWAN, V. SEIDITA,
A. CHELLA, A. GIACOMETTI, and P. FAZIO.
Entangled Gondolas. Design of Multi-Layer Net-
works of Quantum-Driven Robotic Swarms. Sub-
mitted, Wivace 2023.
NISHANDHI, S. et al., Survey on various IOT
standard protocols and its applications. In: Pro-
ceedings of International Conference on System,
Computation, Automation and Networking (IC-
SCAN), 2020, pp. 1-5, doi: https://doi.org/
1109/ICSCAN49426.2020.9262444.
ŞAHIN, E. Swarm robotics: From sources of inspi-
ration to domains of application. In: International
Workshop on Swarm Robotics (Lecture Notes in
Computer Science, Vol. 3342), E. Şahin and W. M.
Spears (Eds.). Berlin/Heidelberg: Springer, 2004.
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