A Traffic-Aware Energy Efficient Scheme for WSN Employing an Adaptable Wakeup Period

Lee, Jae-Ho

doi:10.1007/s11277-012-0914-x

Cited by 20 publications

(5 citation statements)

References 12 publications

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“…This causes a reduction in the overall delay and high lifetime maintenance. In [22], authors proposed a technique to use nodes' traffic to adjust the duty cycles, also called as Adaptable Wakeup Period (AWP). It is found that production in the network and duty cycle are interrelated.…”

Section: Literature Surveymentioning

confidence: 99%

Cellular Automata Based Energy Efficient Approach for Improving Security in IOT

Hemalatha¹,

Dhanalakshmi²

2022

Intelligent Automation &Amp; Soft Computing

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Section: Literature Surveymentioning

confidence: 99%

Cellular Automata Based Energy Efficient Approach for Improving Security in IOT

Hemalatha¹,

Dhanalakshmi²

2022

Intelligent Automation &Amp; Soft Computing

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“…Since every frame is preceded by a long preamble -longer than the duration of active and sleep times combined -any node will have time to wake up, detect the preamble transmission, and stay awake to receive the incoming frame, if necessary. Alternatively, the wake-up/sleep time of the sensor nodes can be dynamically adjusted according to the network load conditions, i.e., number of active neighbor nodes, as in [22]. To reduce the energy waste due to idle listening, the On-Demand wake-up [23] leverages a low power radio (called ''wake-up radio'') that listens to the wake-up signal and sends an interruption to the CPU.…”

Section: Related Workmentioning

confidence: 99%

“…Modeling and simulation-based testing was performed in Network Simulator NS-3 [37] and rtDC performance was benchmarked against other three solutions: AWP [22], SMAC [10], and eAMD [28].…”

Section: Simulation-based Testing Setupmentioning

confidence: 99%

A Reinforcement Learning-Based Duty Cycle Adjustment Technique in Wireless Multimedia Sensor Networks

2020

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Multimedia delivery support has recently been added to Wireless Sensor Networks (WSN) and has led to increased interest in Wireless Multimedia Sensor Networks (WMSN). WMSNs are expected to be crucial to the success of applications related to the Internet of Things (IoT), such as smart health, smart surveillance, smart homes, etc. Alongside their improved multimedia capabilities, WMSNs inherit WSN limitations such as energy and processing constraints. Additionally, WMSNs have significant Quality of Service (QoS) requirements, since multimedia delivery requires increased network performance in terms of bandwidth, latency, etc. Balancing energy efficiency and QoS is a fundamental challenge for WMSN users and operators alike. This paper proposes Reinforcement Learning based Duty Cycle (rlDC), an innovative learning-based scheme to adjust the duty cycle and contention window of WMSN nodes in order to meet energy efficiency and QoS targets. By employing rlDC, WMSN sensor nodes intelligently adapt their operation according to network delivery performance and application requirements. The proposed rlDC scheme was evaluated under different use cases in a simulation environment, and testing results show it outperforms other state-of-the-art duty-cycle-based protocols for WMSNs.

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“…Nodes adopt scheduling scheme based on three factors such as the distance from sink node to another node, specifying the node location, whether the node is nearer to the event places. [17] The Adaptable Wakeup Period (AWP) focuses the receiving operation. Based on the traffic condition around a one hop distance, they adjust the active time at the receiver side.…”

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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A Traffic-Aware Energy Efficient Scheme for WSN Employing an Adaptable Wakeup Period

Cited by 20 publications

References 12 publications

Cellular Automata Based Energy Efficient Approach for Improving Security in IOT

Cellular Automata Based Energy Efficient Approach for Improving Security in IOT

A Reinforcement Learning-Based Duty Cycle Adjustment Technique in Wireless Multimedia Sensor Networks

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

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