Queue management based duty cycle control for end-to-end delay guarantees in wireless sensor networks

Byun, Heejung; Son, Soogook; So, Jungmin

doi:10.1007/s11276-012-0537-x

Cited by 21 publications

(23 citation statements)

References 21 publications

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“…The sensor networks depend on the sensory data to take action, if data reliability is not high, it may lead to decision-making mistakes [10][11][12] . Thus the packet delivery reliability becomes a prominent challenge in industrial WSNs [10][11][12][13][14][15][16] . Due to their inherent characteristics of resourceconstrained, for data collection, Green (energy efficiency) communication is another vital issue since replacing or recharging the batteries of sensor nodes is extremely difficult [8][9][10]24] .…”

Section: Introductionmentioning

confidence: 99%

A green and reliable communication modeling for industrial internet of things

Liu

Zhang

et al. 2017

Computers & Electrical Engineering

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Section: Introductionmentioning

confidence: 99%

A green and reliable communication modeling for industrial internet of things

Liu

Zhang

et al. 2017

Computers & Electrical Engineering

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“…In 2013, adaptive duty cycle control is also done by Byun, et al They proposed the tuning of sleep time based on the queue management feedback control system to achieve efficient performance in heavy traffic [12].…”

Section: Listen Timementioning

confidence: 99%

“……. (11) The residual energy of node taking part in mission critical data transmission is now given as (12).…”

mentioning

confidence: 99%

MAC Protocol with Regression based Dynamic Duty Cycle Feature for Mission Critical Applications in WSN

Sakya¹,

Sharma²

2017

ijacsa

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Abstract-Wireless sensor networks demand energy efficient and application specific medium access control protocol when deployed in critical areas which are not frequently accessible. In such areas, the residual energy of nodes also become important along with the efficient data delivery. Many techniques using adaptive duty cycle approach are suggested by researchers to improve the data delivery performance of protocols. As low duty cycle introduces delay and high duty cycle causes energy losses in the network so duty cycle adaptation according to the distribution of nodes near event occurring area, traffic behaviour and remaining energy of the nodes may be done for energy saving as well as efficient data delivery performance. After analysing the S-MAC protocol performance in critical scenarios for the residual energy, throughput and packet delivery ratio, this paper suggests an improved mission critical MAC protocol called MC-MAC which uses novel regression based adaptive duty cycle approach. The duty cycle is given by the regression pattern of traffic while considering the performance of SMAC protocol for residual energy, throughput and packet delivery ratio. The analytical model of MC-MAC protocol is given accordingly and the performance analysis shows that the proposed MC-MAC protocol saves 40% energy of whole network and also 20% energy of the critical nodes in the mission critical path till base station, as compared to SMAC protocol. Very few improved MAC protocols provide mechanism to save the residual energy of critical nodes and hence to improve the lifetime of critical path. As MC-MAC protocol considers the throughput and packets delivery ratio (also along with residual energy) for calculating the regression formula for duty cycle based on traffic, so it is better than other critical MAC protocols which does trade-off of energy with throughput and packet delivery ratio.

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“…[8] [13] they use three types of algorithms, non-duty cycle case and based on insight of general case, optimal algorithm and distributed algorithm are used. Delay constraints [14] Dual-QCon controller design algorithm taken an account such as queue management and duty cycle control for end server. [15][16] Sleep/wake scheduling scheme is taken based on traffic condition.…”

Section: IImentioning

confidence: 99%

Energy Efficient Data Transmission Control using Adaptive Duty Cycle Terminology in a Real Time Sensor Application

Pugalvadivu.¹,

Haripriya.²,

Sowmiya.³

et al. 2015

International Journal of Advanced Research in Computer and Comm

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Energy saving and Congestion avoidance are the crucial issues in wireless sensor networks. In existing paper consider mostly how to reduce energy without data information, importance and timing issue. In this paper to overcome this issue by effective utilization of adaptive duty cycle terminology in Energy Efficient Data Transmission Control (EEDTC) algorithm in a real time application. The data transmission is control by using different duty cycle task (RTOS task-Real Time Operating System Task) for different data types. Duty cycle control for Real time application is a crucial issue because of timing problem. This is adaptively achieved using priority based data transmission in wireless sensor networks.

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Queue management based duty cycle control for end-to-end delay guarantees in wireless sensor networks

Cited by 21 publications

References 21 publications

A green and reliable communication modeling for industrial internet of things

A green and reliable communication modeling for industrial internet of things

MAC Protocol with Regression based Dynamic Duty Cycle Feature for Mission Critical Applications in WSN

Energy Efficient Data Transmission Control using Adaptive Duty Cycle Terminology in a Real Time Sensor Application

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