Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

Awad, Abeer; Pang, Wei; Coghill, George M.

doi:10.1007/978-3-319-95450-9_12

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Physarum distributed intelligence may inform the design of an adaptive, robust and spatial infrastructure networks with decentralised control systems [78]. Awad et al, Awad et al (2018Awad et al ( , 2019a) have proposed a Physarum-inspired competition algorithms for mobile wireless sensor networks, where multiple Physarum (as represented by sensors) will sense the surrounding environment, and will compete over multiple food resources (as represented by interest points). These algorithms have demonstrated their promising performance in solving node deployment [14] and connectivity restoration even in harsh environment [15].…”

Section: Physarum-inspired Applications For Solving Graph-optimisatio...mentioning

confidence: 99%

A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications

Awad¹,

Lusseau²,

Coghill³

2021

Preprint

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In recent years, research on Physarum polycephalum has become more popular after Nakagaki et al. (2000) performed their famous experiment showing that Physarum was able to find the shortest route through a maze. Subsequent researches have confirmed the ability of Physarum-inspired algorithms to solve a wide range of NP-hard problems. This review will through light on recent Physarum polycephalum biological aspects, mathematical models, and Physarum bio-inspired algorithms and their applications. Further, we have presented our new model to simulate Physarum in competition, where multiple Physarum interact with each other and with their environments. The bio-inspired Physarum in competition algorithms proved to have great potentials for future research.

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Section: Physarum-inspired Applications For Solving Graph-optimisatio...mentioning

confidence: 99%

A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications

Awad¹,

Lusseau²,

Coghill³

2021

Preprint

Self Cite

View full text Add to dashboard Cite

show abstract

A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications

et al. 2022

View full text Add to dashboard Cite

In recent years, research on Physarum polycephalum has become more popular after Nakagaki (AIR 407: 6803-470, 2000) performed their famous experiment showing that Physarum was able to find the shortest route through a maze. Subsequent researches have confirmed the ability of Physarum-inspired algorithms to solve a wide range of real-world applications. In contrast to previous reviews that either focus on biological aspects or bio-inspired applications, here we present a comprehensive review that highlights recent Physarum polycephalum biological aspects, mathematical models, and Physarum bio-inspired algorithms and their applications. The novelty of this review stems from our exploration of Physarum intelligent behaviour in competition settings. Further, we have presented our new model to simulate Physarum in competition, where multiple Physarum interact with each other and with their environments. The bio-inspired Physarum in competition algorithms proved to have great potentials for future research.

show abstract

Physarum Inspired Model for Mobile Sensor Nodes Deployment in the Presence of Obstacles

Cited by 2 publications

References 15 publications

A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications

A Survey on Physarum Polycephalum Intelligent Foraging Behaviour and Bio-Inspired Applications

A survey on physarum polycephalum intelligent foraging behaviour and bio-inspired applications

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