SEAHORSE: Generalizing an artificial hormone system algorithm to a middleware for search and delivery of information units

Sobe, Anita; Elmenreich, Wilfried; Szkaliczki, Tibor; Böszörményi, László

doi:10.1016/j.comnet.2015.01.015

Cited by 5 publications

(4 citation statements)

References 51 publications

(38 reference statements)

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“…[289,303] For software and hardware system failures, the self-healing approaches are such as repair plans for healing, component interaction-based healing, redundancy techniques for healing, [291,292] etc., which includes the smart bioinspired embryonics self-healing method, [304] artificial hormone method. [305] Upon self-healing, the system will self-test the repaired parts by computing its reliability. Mechanical characterization methods can be used to assess the self-healing efficiency of polymers qualitatively and quantitatively.…”

Section: Self-healing and Self-testingmentioning

confidence: 99%

Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics

et al. 2020

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self-repair in order to survive and thrive. Soft to hard tissues can self-regenerate when injured, including the skin and bones. [6] Some of the living tissues, such as nails and bones, can even continuously remodeling themselves, removing the damaged tissues unintentionally and replaced by newly grown tissues. However, unlike regenerative and remodeling capabilities in nature, robots are made from nonliving synthetic materials such as polymers and metals. Hence, as we develop robots to have greater autonomy and capabilities, having the ability to self-heal or self-repair is becoming more critical, if not, essential, especially from an environmental sustainability point of view. [2,[7][8][9][10][11] The term self-healing materials, also often referred to as self-mending or selfrepairing materials, are materials that can regain some or most of its original material properties when damaged. In synthetic materials, the self-healing materials repair their damage without regenerative origins. As these selfhealing materials undergo self-repair, they regain their original intended functions through the recovery of the desired material properties, without an increase in original mass.As the number of self-healing materials is growing at a rapid clip, we first establish a brief history in this review to help the reader gain a broader perspective on self-healing materials. We emphasize on self-healing materials that recover their mechanical properties, because mechanical properties often dictate the possible applications. Figure 1 highlights the various selfhealing materials from high modulus to low modulus materials that can be used for robotic applications.There are two broad classifications for self-healing materials: a) autonomic versus nonautonomic self-healing materials; b) intrinsic versus extrinsic self-healing. [8] These self-healing materials can recover their properties either autonomously, i.e., without significant external intervention, much like human tissues; or they can also heal with external intervention, such as when some external environment changes cause temperature increment or via various triggers such as mechanical stimuli. Intrinsic self-healing materials do not need external healing agents, while extrinsic self-healing materials contain external healing agents for the healing of the matrix materials. In addition to those classifications, we will provide new insights on classifying these materials further into this review.In Section 2, we discuss various types of smart biomimetic robots where self-healing materials can be beneficial. Section 3 Robots are increasingly assisting humans in performing various tasks. Like special agents with elite skills, they can venture to distant locations and adverse environments, such as the deep sea and outer space. Micro/nanobots can also act as intrabody agents for healthcare applications. Self-healing materials that can autonomously perform repair functions are useful to address the unpredictability of the environment and the increasing drive toward the autonom...

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Section: Self-healing and Self-testingmentioning

confidence: 99%

Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics

et al. 2020

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“…In order to avoid such detours, we investigated a number of replication mechanisms. A series of experiments showed that by relying on local information only in combination with replication mechanisms, the algorithm can scale up to at least 1,000 nodes and can cover up to 50 % node churn [5], [4], [6].…”

Section: Applicability Of the Artificial Hormone Systemmentioning

confidence: 99%

“…A middleware named as SEAHORSE (SElforganizing Artificial HORmone SystEm) [6] was introduced that generalizes the artificial hormone system algorithm to a middleware for search and delivery of information units. Simulations were executed in order to examine its application in different technical fields including distributing multimedia content at a social event (for example spectators at a sports event such as a triathlon) and information dissemination in smart electrical grid.…”

Section: Applicability Of the Artificial Hormone Systemmentioning

confidence: 99%

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Convergence and monotonicity of the hormone levels in a hormone-based content delivery system

Szkaliczki

Sobe

Elmenreich

2015

Cent Eur J Oper Res

Self Cite

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The practical significance of bio-inspired, self-organising methods is rapidly increasing due to their robustness, adaptability and capability of handling complex tasks in a dynamically changing environment. Our aim is to examine an artificial hormone system that was introduced in order to deliver multimedia content in dynamic networks. The artificial hormone algorithm proved to be an efficient approach to solve the problem during the experimental evaluations. In this paper we focus on the theoretical foundation of its goodness. We show that the hormone levels converge to a limit at each node in the typical cases. We form a series of theorems on convergence with different conditions which are built on each other by starting with a specific base case and then we consider more general, practically relevant cases. The theorems are proved by exploiting the analogy between the Markov chains and the artificial hormone system. We examine spatial and temporal monotonicity of the hormone levels as well and give sufficient conditions on monotonic increase.

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Simulation of Swarm Intelligence for Flexible Job-Shop Scheduling with SwarmFabSim: Case Studies with Artificial Hormones and an Ant Algorithm

Umlauft,

Schranz,

Elmenreich

2023

Lecture Notes in Networks and Systems

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SEAHORSE: Generalizing an artificial hormone system algorithm to a middleware for search and delivery of information units

Cited by 5 publications

References 51 publications

Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics

Progress and Roadmap for Intelligent Self‐Healing Materials in Autonomous Robotics

Convergence and monotonicity of the hormone levels in a hormone-based content delivery system

Simulation of Swarm Intelligence for Flexible Job-Shop Scheduling with SwarmFabSim: Case Studies with Artificial Hormones and an Ant Algorithm

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