Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks

An, Zhu; Zhu, Hongsong; Li, Xinrong; Xu, Chaonong; Xu, Yongjun; Li, Xiaowei

doi:10.1109/tie.2009.2038407

Cited by 43 publications

(24 citation statements)

References 28 publications

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“…These protocols include: RBS [5], TPSN [6], FTSP [7], Firefly synchronization method [8,14], TSMP [13] and DCTS [10,15].…”

Section: Related Workmentioning

confidence: 99%

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A Novel Two-way Time Synchronization Protocol for Fusion Application

Pang

Wu³

et al. 2016

IJFGCN

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“…These protocols include: RBS [5], TPSN [6], FTSP [7], Firefly synchronization method [8,14], TSMP [13] and DCTS [10,15].…”

Section: Related Workmentioning

confidence: 99%

“…Firefly algorithm refers to some pulse-coupled synchronization protocols [8,14]. In firefly algorithm, nodes are seen as identical pulse-coupled oscillators.…”

Section: Related Workmentioning

confidence: 99%

A Novel Two-way Time Synchronization Protocol for Fusion Application

Pang

Wu³

et al. 2016

IJFGCN

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“…In [55], linear non-identical PCOs model is proposed and used to analyze PCO synchronization with different frequencies. Since each oscillator has a unique frequency and leads to a different phase value in a different oscillator for a certain time, the relationship among the phase variables of different oscillators should be determined.…”

Section: Bio-inspired Studies Formentioning

confidence: 99%

On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches

Zhang

Long

Wang

et al. 2014

IEEE Commun. Surv. Tutorials

210

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Inspired by swarm intelligence observed in social species, the artificial self-organized networking (SON) systems are expected to exhibit some intelligent features (e.g., flexibility, robustness, decentralized control, and self-evolution, etc.) that may have made social species so successful in the biosphere. Self-organized networks with swarm intelligence as one possible solution have attracted a lot of attention from both academia and industry. In this paper, we survey different aspects of bioinspired mechanisms and examine various algorithms that have been applied to artificial SON systems. The existing well-known bio-inspired algorithms such as pulse-coupled oscillators (PCO)based synchronization, ant-and/or bee-inspired cooperation and division of labor, immune systems inspired network security and Ant Colony Optimization (ACO)-based multipath routing have been surveyed and compared. The main contributions of this survey include 1) providing principles and optimization approaches of variant bio-inspired algorithms, 2) surveying and comparing critical SON issues from the perspective of physicallayer, Media Access Control (MAC)-layer and network-layer operations, and 3) discussing advantages, drawbacks, and further design challenges of variant algorithms, and then identifying their new directions and applications. In consideration of the development trends of communications networks (e.g., largescale, heterogeneity, spectrum scarcity, etc.), some open research issues, including SON designing tradeoffs, Self-X capabilities in the 3 rd Generation Partnership Project (3GPP) Long Term Evolution (LTE)/LTE-Advanced systems, cognitive machine-tomachine (M2M) self-optimization, cross-layer design, resource scheduling, and power control, etc., are also discussed in this survey.

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“…They proved the convergence and presented M&S model with the uniform coupling and non-delay network by mathematical method. Those assumptions in M&S model have been released by later researches [12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient

Hao

Song

Liu

et al. 2015

2015 First International Conference on Computational Intelligence Theory, Systems and Applications (CCITSA)

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Synchronicity is the base of sleep and superframe, used by many protocols in WSN. Distributed synchronicity algorithm become popular in rubust WSN, due to the unstratified topological structure and low computational complexity. The firefly-inspired synchronicity algorithm (FSA), as the typical algorithm of distributed synchronicity, usually needs a large coupling coefficient for accelerating convergence. However, a large coupling coefficient may lead instability and inaccuracy. So, this paper proposes a novel self-adaption coupling coefficient firefly-inspired synchronicity algorithm, aiming at a fast and accurate synchronicity. This algorithm is evaluated by simulation. The results show that it can speed up the time cost by synchronicity process obviously.

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Nonidentical Linear Pulse-Coupled Oscillators Model With Application to Time Synchronization in Wireless Sensor Networks

Cited by 43 publications

References 28 publications

A Novel Two-way Time Synchronization Protocol for Fusion Application

A Novel Two-way Time Synchronization Protocol for Fusion Application

On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches

Firefly-Inspired Synchronicity Algorithm with Self-Adaption Coupling Coefficient

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