A Novel Queen Honey Bee Migration (QHBM) Algorithm for Sink Repositioning in Wireless Sensor Network

Jong, Gwo-Jia; Aripriharta, Aripriharta; Hendrick, -; Horng, Gwo-Jiun

doi:10.1007/s11277-017-3991-z

Cited by 20 publications

(14 citation statements)

References 39 publications

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“…In the future, we will improve our proposal and derive the mathematical model by using an ordinary differential equation and solve by numerical computation. In addition, we will involve our Queen honey-bee migration (QHBM) [25] for optimization.…”

Section: Resultsmentioning

confidence: 99%

Modeling and Analysis of the Self-powered Device for Wireless Heart Rate Measurement

Aripriharta¹,

Muladi²,

Mufti³

et al. 2019

Preprint

Self Cite

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A new circuit model of the self-powered device for heart rate measurement is presented in this paper. This device consists of piezoelectric energy harvester (PEH), power management circuit (PMC) with energy storage, microcontroller, Photoplethysmography (PPG) sensor, and Wi-Fi module. The PEH is placed under the insole to harvest the pressure energy from human foot-step to generate ac power. In our model, a PEH is represented by sine voltage source, where its parameters were taken from experiments with 20 volunteers. The PMC is simplified by a switch with gain δ placed in series with the main circuit. The model of the main circuit is RC elements in parallel, where C is the capacitance of the storage device, and R is the equivalent parallel resistance of the microcontroller, PPG sensor, and Wi-Fi modules, respectively. The value of R depends on the power and current absorbed by those modules during sleep, deep sleep, sense, and transmit modes which collected from the datasheet. Finally, the proposed circuit model of the self-powered device was built and simulated in SPICE. The simulation results were compared with the laboratory experiment using commercial devices. Based on the results, the proposed model had small gaps compared to the real self-powered devices in terms of average current, voltage, power and efficiency.

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Section: Resultsmentioning

confidence: 99%

Modeling and Analysis of the Self-powered Device for Wireless Heart Rate Measurement

Aripriharta¹,

Muladi²,

Mufti³

et al. 2019

Preprint

Self Cite

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show abstract

“…Since the energy-hole problem occurs in the nodes near the sink, a mobile sink can be an intuitive solution for achieving energy consumption evenness. The authors in [ 30 ] proposed a queen honeybee migration (QHBM) algorithm to mimic queen honeybee’s behavior for the movement of the sink node. In [ 31 ], the authors proposed a inter-cluster movement algorithm for the mobile sink node to significantly balance the energy usage of cluster heads.…”

Section: Related Workmentioning

confidence: 99%

RDCPF: A Redundancy-Based Duty-Cycling Pipelined-Forwarding MAC for Linear Sensor Networks

Zhang

Fei

et al. 2020

Sensors

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Existing duty-cycling and pipelined-forwarding (DCPF) protocols applied in battery-powered wireless sensor networks can significantly alleviate the sleep latency issue and save the energy of networks. However, when a DCPF protocol applies to a linear sensor network (LSN), it lacks the ability to handle the bottleneck issue called the energy-hole problem, which is mainly manifested due to the excessive energy consumption of nodes near the sink node. Without overcoming this issue, the lifespan of the network could be greatly reduced. To that end, this paper proposes a method of deploying redundant nodes in LSN, and a corresponding enhanced DCPF protocol called redundancy-based DCPF (RDCPF) to support the new topology of LSN. In RDCPF, the distribution of energy consumption of the whole network becomes much more even. RDCPF also brings improvements to the network in terms of network survival time, packet delivery latency, and energy efficiency, which have been shown through the extensive simulations in comparison with existing DCPF protocols.

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“…We have found a bio-inspired optimization method called queen honey bee migration (QHBM), which has proven to be feasible for WSN routing optimization [5], even, it can be used for maximum power tracking (MPPT) [55]. This method was adopted from the behavior of young queens on honeybee colony who wander to make their own hives.…”

Section: Figure 1 Cluster-based Data Transmissionmentioning

confidence: 99%

“…The movement of the queen not only follows the instructions of the scouts but also evaluates environmental factors such as wind. Then, the queen movement is adjusted using a compass [5].…”

Section: Figure 1 Cluster-based Data Transmissionmentioning

confidence: 99%

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A New Bio-Inspired for Cooperative Data Transmission of IoT

et al. 2020

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The original queen honey bee migration (QHBM) was developed for independent action on solving efficient mobile routing in WSN. In this paper, we enhanced the original QHBM using Binary testing injection on the cooperative node's selection on IoT system. We also added a new cost function for making nodes' coalition, implementing the threshold value for modified QHBM (mQHBM for short), and demonstrating the mQHBM-CMIMO in fair comparison with another previous algorithms. Our research portrayed that mQHBM can perform better than its competitors such as Fuzzy-BT, Neuro Fuzzy and PSO in terms of network lifetime and the end to end delay.

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A Novel Queen Honey Bee Migration (QHBM) Algorithm for Sink Repositioning in Wireless Sensor Network

Cited by 20 publications

References 39 publications

Modeling and Analysis of the Self-powered Device for Wireless Heart Rate Measurement

Modeling and Analysis of the Self-powered Device for Wireless Heart Rate Measurement

RDCPF: A Redundancy-Based Duty-Cycling Pipelined-Forwarding MAC for Linear Sensor Networks

A New Bio-Inspired for Cooperative Data Transmission of IoT

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