Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for next-generation wireless sensor networks

Bakhsh, Sheikh Tahir; AlGhamdi, Rayed; Altalhi, Abdulrahman H.; Tahir, Sabeen; Sheikh, Muhammad Aman

doi:10.1186/s13638-017-0870-y

Cited by 6 publications

(8 citation statements)

References 32 publications

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“…ADDC-CCWSN 18 Based on content centric networking features (CCN) Complex algorithm to run duty cycle over WSN. Every node maintains three tables which increasing the overhead AEH-MAC 19 Use short packets to wake up the receiver; an estimated field is familiarized in the ACK packets (GRANT/RELEASE) to decrease the expectation time of the source node Control packets to much which increase communication overhead and energy consumption, while the network lifetime is not investigated rlDC 20 The duty cycle is adjusted based on machine learning and contention window of sensor nodes…”

Section: Random Activation Of Nodes Leads To Inaccurate Duty Cycle Decisionmentioning

confidence: 99%

Adaptive dynamic duty cycle mechanism for energy efficient medium access control in wireless multimedia sensor networks

Ahmed

Abazeed

2021

Trans Emerging Tel Tech

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Multimedia applications require significantly higher bandwidth than conventional textual applications. Furthermore, multimedia stream requires time sensitive and involves high-energy consumption, which become more challenging on resource constrained networks such as wireless multimedia sensor network (WMSN). As a result, developing an energy efficient algorithm to prolong the network lifetime is the main reoccurring issue in WMSN. Although the duty cycling mechanism has been proven to be an efficient solution for energy saving in various WSN applications, the tradeoff between energy efficiency and quality of service (QoS) on WMSN remains striking. In this article, an adaptive dynamic duty cycle mechanism for energy-efficient medium access control (ADE-MAC) is proposed for WMSNs. ADE-MAC uses a unique asynchronous duty cycle approach to schedule the sleep pattern of each sensor node which can be adapted according to the incoming traffic rate and queuing delay at each node. In the proposed system, the overhead of synchronization is avoided because every node has its own scheduling sleep, and the only sender node must wake up the receiver nodes by using preambles packets. The findings that result from comprehensive simulation show that ADE-MAC outperforms the baseline approaches in term of delivery ratio by 12%, less packet overhead by 28%, less end-to-end delay by 19%, and less power consumption by 41% compared to the baseline mechanisms.

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Section: Random Activation Of Nodes Leads To Inaccurate Duty Cycle Decisionmentioning

confidence: 99%

Adaptive dynamic duty cycle mechanism for energy efficient medium access control in wireless multimedia sensor networks

Ahmed

Abazeed

2021

Trans Emerging Tel Tech

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“…Total number of nodes = (14) Connectivity in the network ensures that there is at least one path is available between sink node and sensor nodes. High connectivity in the network increases coverage rate which results in better quality of sensing.…”

Section: No Of Nodes Connected To Sink Connectivity Ratiomentioning

confidence: 99%

“…Here CH selection is carried-out based on residual energy of each sensor node and regional energy of nodes in that region. Adaptive Sleep Efficient Hybrid Medium Access Control (AEH-MAC) algorithm allows sensor nodes to adjust their sleeping time dynamically [14]. Sensor node adjusts the sleep time according to traffic load and coordinate wakeup time of neighbor nodes.…”

Section: Introductionmentioning

confidence: 99%

4TQS: Four Tiers OVER Quality of Sensing with Energy Improvement in Wireless Sensor Network

Asqui¹,

Cedeño²

2021

IJCNS

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This paper presents four algorithms for QoSensing (4TQS) and routing on dynamics Wireless Sensor Networks. Since many types of researches held on QoSensing improvement in terms of coverage and connectivity enhancement. In a WSN with a density of 120 static and 30 mobile nodes, the major power-consuming activities are mobility and communication. Such power constraint has a great effect on the node activities and the same network. We analyzed the occurrence of coverage holes which is, regions inside the area of interest that are void of operational nodes for sensing and/or routing purposes. 4TQS method shows clustering phase through neuro-fuzzy based affinity propagation NFAP, sleep scheduling phase with ESLS algorithm and the assist of coverage enhancement phase in which HAHP is involved. Routing phase and connectivity metrics are improved with DTMR algorithm. Involvement of four efficient algorithms results in improved QoSensing in WSN. We analyzed our proposed method in both Star and Mesh topology in order to evaluate the QoSensing metrics in both topologies. Our method shows promising results in QoSensing metrics or performance in dynamics WSNs.

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“…The authors [28,30] had proposed the mathematical model for flood forecasting in case of disaster circumstance. GIS-based flood forecasting Model is designed to calculate the flood series frequency [31][32][33][34][35][36][37][38][39][40][41][42]. The authors [10,35] had focused their research on designing the conceptual model for flood forecasting.…”

Section: The Critical Evaluation Of the Research Study In Tablementioning

confidence: 99%

A Flood Forecasting Model based on Wireless Sensor and Actor Networks

Bakhsh¹,

Ahmed²,

Shahzad³

et al. 2020

IJACSA

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Flood forecasting is a challenging area of research that can help to save precious lives by timely intimating about the flood possibilities. The role of advancements in computing and allied technologies has moved the research towards a new horizon. Researchers from all over the world are using Artificial Neural Networks (ANN), Global Information Systems (GIS), and Wireless Sensor Networks (WSN) based schemes for flash flood forecasting and hydrological risk analysis. ANN and GIS-based solutions are much costly whereas the analysis and prediction using WSN require much less cost for infrastructure deployment. It will enable the use of flood prediction mechanisms in the third world and poor countries. New variation in storage capacity can be a vital source to eliminate or reduce the chance of flood. By considering this observation, it is proposed to develop a generic flood prediction scheme that can manage the system as per resources and environmental conditions. A heterogeneous WSN has considered where powerful Collector Nodes (CN) continuously takes values from member sensor nodes in the region. CN transmits the alerts to Administration Unit (AU) when threshold values are crossed. It is proposed to save the threshold values from all water sources like storage capacity, water inflow, and outflow in the repository for decision making. Moreover, environmental parameters including water level, humidity, temperature, air pressure, rainfall, soil moisture, etc. are considered for the analysis of flood prediction. We have also considered the evaluation of these parameters in specified boundary values that were not considered in existing schemes. In this research study, we have used Arc GIS and NS2 simulation tools to analyze the parameters and predict the probability of the occurrence of a flood.

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Adaptive Sleep Efficient Hybrid Medium Access Control algorithm for next-generation wireless sensor networks

Cited by 6 publications

References 32 publications

Adaptive dynamic duty cycle mechanism for energy efficient medium access control in wireless multimedia sensor networks

Adaptive dynamic duty cycle mechanism for energy efficient medium access control in wireless multimedia sensor networks

4TQS: Four Tiers OVER Quality of Sensing with Energy Improvement in Wireless Sensor Network

A Flood Forecasting Model based on Wireless Sensor and Actor Networks

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