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Cited by 200Metaheuristic Optimization Algorithms ResearchModular Robots and Swarm IntelligenceDistributed Control Multi-Agent Systems

The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.

Swarm intelligence for routing in communication networks

Kassabalidis, I., El-Sharkawi, M.A., Marks, R.J., Arabshahi, P., Gray, A.A.·2002·GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)
DOI 10.1109/glocom.2001.966355
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Abstract

Swarm intelligence, as demonstrated by natural biological swarms, exhibits numerous powerful features that are desirable in many engineering systems, such as communication networks. In addition, new paradigms for designing autonomous and scalable systems may result from analytically understanding and extending the design principles and operations inherent in intelligent biological swarms. A key element of future design paradigms will be emergent intelligence - simple local interactions of autonomous swarm members, with simple primitives, giving rise to complex and intelligent global behavior. Communication network management is becoming increasingly difficult due to the increasing network size, rapidly changing topology, and complexity. A new class of algorithms, inspired by swarm intelligence, is currently being developed that can potentially solve numerous problems of such networks. These algorithms rely on the interaction of a multitude of simultaneously interacting agents. A survey of such algorithms and their performance is presented here.

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Registry

Crossref · 10.1109/glocom.2001.966355

Cites

3 of 3 references verified0 citation errors · 0 not checkable

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  • For most existing spacecraft communication security was insufficiently implemented, thus leaving significant attack vectors related to spacecraft control.

    “For most existing spacecraft communication security was insufficiently implemented, thus leaving significant attack vectors related to spacecraft control [268].”

    From Applications and Challenges of Artificial Intelligence in Space Missions (2024) · cites this paper as [268]

Citations

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Research works printed but not linked: 23

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Metadata

Authors
Kassabalidis, I., El-Sharkawi, M. A., Marks, R. J., Arabshahi, P., & Gray, A. A.
Affiliations
  • University of Washington (US)
  • Jet Propulsion Laboratory (US)
ORCID
Venue
GLOBECOM'01. IEEE Global Telecommunications Conference (Cat. No.01CH37270)
Publisher
IEEE
Published
2002-11-13
Volume
6
Pages
3613-3617
ISSN
1930-529X (ISSN-L)
DOI
10.1109/glocom.2001.966355
OpenAlex
W2165627952
Cited by
200
References
3
Citations by year
2025: 6 · 2024: 5 · 2023: 4 · 2022: 10 · 2021: 10 · 2020: 6 · 2019: 8 · 2018: 12 · 2017: 10 · 2016: 10 · 2015: 8 · 2014: 6 · 2013: 15 · 2012: 19
FWCI
4.88
Type
conference paper
Language
en
Open access
closed
Locations
Globecom (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Metaheuristic Optimization Algorithms Research
  • Physical Sciences › Engineering › Mechanical Engineering › Modular Robots and Swarm Intelligence
  • Physical Sciences › Engineering › Control and Systems Engineering › Distributed Control Multi-Agent Systems
Keywords
swarm intelligence, network routing, communication networks, emergent intelligence, multi-agent systems, bio-inspired algorithms, autonomous agents, network management

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