Bioinspired Load Balancing in Large-Scale WSNs Using Pheromone Signalling

Caliskanelli, Ipek; Harbin, James; Indrusiak, Leandro Soares; Mitchell, Paul; Polack, Fiona; Chesmore, David

doi:10.1155/2013/172012

Cited by 18 publications

(17 citation statements)

References 34 publications

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“…To reduce this job lateness of the admitted dynamic varying workload, we follow a bio-inspired distributed task-remapping technique with self-organising properties. This technique builds upon existing bio-inspired load balancing approaches by Caliskanelli et al [30] and Mendis et al [91].…”

Section: Problem Statementmentioning

confidence: 99%

“…A distributed load-balancing algorithm based on the pheromone signalling mechanism used by honey bees has been introduced in [30]. That algorithm, henceforth referred to as the PS algorithm, was originally developed to improve availability in wireless sensor networks but has features that make it attractive as a general load balancing approach.…”

Section: Ps -Pheromone Signalling Algorithmmentioning

confidence: 99%

“…The experimental results during the parameter search process show that the remapping frequency has a significant impact in accuracy and communication overhead. The relationship between these parameters have been investigated extensively in previous work [29,30]. As a general guideline, to keep the communication overhead low, the event cycles (T QN and T RM ) and the QN hormone propagation range must be kept relatively low.…”

Section: Psrm -Pheromone Signalling Supporting Load Remappingmentioning

confidence: 99%

“…P-State conditional increase (lines [30][31][32][33]: If no new tasks have been fetched from the task queue for time Γ and the processor performance is not the lowest possible (P-State is different from P max ), the processor P-State is increased (line 31) and the current time is assigned to γ (line 33).…”

mentioning

confidence: 99%

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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

Indrusiak

Dziurzański

Singh

2016

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

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The "River Publishers Series in Information Science and Technology" covers research which ushers the 21st Century into an Internet and multimedia era. Multimedia means the theory and application of filtering, coding, estimating, analyzing, detecting and recognizing, synthesizing, classifying, recording, and reproducing signals by digital and/or analog devices or techniques, while the scope of "signal" includes audio, video, speech, image, musical, multimedia, data/content, geophysical, sonar/radar, bio/medical, sensation, etc. Networking suggests transportation of such multimedia contents among nodes in communication and/or computer networks, to facilitate the ultimate Internet.Theory, technologies, protocols and standards, applications/services, practice and implementation of wired/wireless networking are all within the scope of this series. Based on network and communication science, we further extend the scope for 21st Century life through the knowledge in robotics, machine learning, embedded systems, cognitive science, pattern recognition, quantum/biological/molecular computation and information processing, biology, ecology, social science and economics, user behaviors and interface, and applications to health and society advance.Books published in the series include research monographs, edited volumes, handbooks and textbooks. The books provide professionals, researchers, educators, and advanced students in the field with an invaluable insight into the latest research and developments.

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Section: Problem Statementmentioning

confidence: 99%

Section: Ps -Pheromone Signalling Algorithmmentioning

confidence: 99%

Section: Psrm -Pheromone Signalling Supporting Load Remappingmentioning

confidence: 99%

mentioning

confidence: 99%

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Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

Indrusiak

Dziurzański

Singh

2016

Dynamic Resource Allocation in Embedded, High-Performance and Cloud Computing

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“…In previous work on pheromone signalling (PS) based load-balancing, [5,7] presented a dynamic technique for wireless sensor networks (WSNs) that is applied at run time in the application layer of a communication network.…”

Section: Related Workmentioning

confidence: 99%

Hybrid Insect-Inspired Multi-Robot Coverage in Complex Environments

Broecker

Caliskanelli

Tuyls

et al. 2015

Towards Autonomous Robotic Systems

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Abstract. Coordination is one of the most challenging research issues in distributed multi-robot systems (MRS), aiming to improve performance, energy consumption, robustness and reliability of a robotic system in accomplishing complex tasks. Social insect-inspired coordination techniques achieve these goals by applying simple but effective heuristics from which elegant solutions emerge. In our previous research, we demonstrated the effectiveness of a hybrid ant-and-bee inspired approach, HybaCo, designed to provide coordinated multi-robot solutions to area coverage problems in simple environments. In this paper, we extend this work and illustrate the effectiveness of our hybrid ant-and-bee inspired approach (HybaCo) in complex environments with static obstacles. We evaluate both the ant-inspired (StiCo) and bee-inspired (BeePCo) approaches separately, and then compare them according to a number of performance criteria using a high-level simulator. Experimental results indicate that HybaCo improves the area coverage uniformly in complex environments as well as simple environments.

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