Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode

Haqbeen, Jawad Ahmad; Ito, Takayuki; Arifuzzaman, Mohammad; Otsuka, Takanobu

doi:10.1109/icis.2018.8466423

Cited by 4 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The authors of [19] recommended the adaptive intelligent hybrid medium access control protocol (AI-HMAC) for low power duty cycle WSNs. The AI-HMAC protocol employs the technique, which is based on mixed TDMA and CSMA-based traffic.…”

Section: Related Workmentioning

confidence: 99%

Energy Optimization in Wireless Sensor Networks for Forest Fire Detection: A Study of Sleep Scheduling Techniques

Ibraheem,

Mohamed,

Fakhfakh

2023

Machine Learning &Amp; Applications

View full text Add to dashboard Cite

Wireless Sensor Networks (WSNs) have gained significant interest in forest fire applications due to their potential for real-time monitoring, early detection, and quick reaction. However, energy consumption poses a challenge as sensor nodes primarily rely on batteries. Efficient energy management is crucial to extend network lifespan, reduce maintenance frequency, and ensure continuous monitoring. This paper proposes the use of sleep-based concepts in WSNs for forest fire detection to optimize energy consumption. The study utilizes the Omnet++ simulation platform to model and simulate a realistic WSN deployed in a forest fire detection scenario. It analyses power consumption patterns, evaluates different MAC protocols, and explores sleep scheduling optimization.

show abstract

Section: Related Workmentioning

confidence: 99%

Energy Optimization in Wireless Sensor Networks for Forest Fire Detection: A Study of Sleep Scheduling Techniques

Ibraheem,

Mohamed,

Fakhfakh

2023

Machine Learning &Amp; Applications

View full text Add to dashboard Cite

show abstract

“…Haqbeen et al 8 yielded the adaptive intelligent hybrid medium access control (AI-HMAC) traffic protocol, resulting from combining the functionalities of the time division multiple access (TDMA) and carrier sense multiple access (CSMA) configurations by programming transmissions and links to improve the performance and power consumption of the protocol. It is possible to operate this protocol within a wide range of data traffic and choose the send/receive mechanism according to the rate of packaging and data loss, reducing energy consumption.…”

Section: Related Workmentioning

confidence: 99%

“…The possible parameters are expressed in Table 1, and these parameters are shared along the IoT network, thus all the nodes have all the types of sensors that exist in the network. We proposed an 8-bit marker since it would give us as a result that we can differentiate and shared 2 8 or 256 types of sensor nodes, thus this marker could identify a temperature sensor or simply a smart phone, for instance. ' " rF' lFl' Fr" F" ' lF" rFr" Fl' F' lF" rFr" Fl ' " F" rF' lFl' Fr" ' Stage 3…”

Section: Step 3: Indexing Of Linksmentioning

confidence: 99%

Generation of broadcasting for fractal adaptive Internet of things reconfiguration under the swarm intelligence paradigm

Moreno

Matamoros

Tejeida

et al. 2020

International Journal of Distributed Sensor Networks

View full text Add to dashboard Cite

Recently, a wide range of small devices, such as Wi-Fi Internet of things development boards, which are a kind of the microcontroller units in a general purpose board, are interrelated throughout the planet. In addition, certain microcontroller units interact inside our homes when turning lights on or detecting movements, measuring various parameters, such as gas concentrations, [Formula: see text], humidity, and the temperature inside a room, or adjusting the intensity of the lights inside and outside of the house. Likewise, there is a great diversity of microcontroller units, ranging from smart cellular telephones or reduced general purpose devices, ESP8266 or RaspberryPi3 to any type of Internet of things devices. Therefore, the general way of connecting the microcontroller units to the Internet is through hub nodes, so that the information can be propagated and shared among them. The main purpose of this article is to yield an adaptive reconfiguration algorithm to link all the sensor nodes (microcontroller units) of a network based on the fractal topology, avoiding the use of hub nodes, in order for the microcontroller units to share all the parameters established in the Internet of things network only through two adjacent sensor nodes as long as any sensor node in the network knows all the parameters of the other ones, even if the sensor nodes are not adjacent. To achieve the above, in this work, an Internet of things network was built based on the Hilbert fractal for being a filling-space curve yielded from the L-systems paradigm, so this fractal Hilbert topology allows access to the entire Internet of things network in a dynamic way, and it is possible to reconfigure the network topology when a new sensor node is attached by applying artificial intelligence to intelligent and dynamic environments.

show abstract

“…Ammar et al [11] have presented a cooperative scheme with a single relay in a distributed manner to minimize energy consumption and assured the quality of service. Haqbeen et al [12] have used dynamic scheduling for resisting delay, mainly while applying a hybrid MAC approach. A study towards the optimization of network performance has been studied by Hu et al [13].…”

Section: Related Workmentioning

confidence: 99%

Optimizing Performance Parameters in Wireless Sensor Network using Hybrid Medium Access Control

Anitha¹,

Ananda²

2018

EAI Endorsed Transactions on Energy Web

View full text Add to dashboard Cite

To carry out an efficient data aggregation operation, it is essential to retain the optimal number of nodes for an extensive sensing period in wireless sensor networks. Hybrid Medium Access Control (MAC) uses its contention and scheduling options to offer this feature by facilitating access over the shared resources and offering better energy efficiency. However, a review of existing approaches highlights that there is still a large scope for improvement. Therefore, the proposed system introduces a model for hybrid MAC that facilitates optimal routine management of states of nodes and offers a dual optimization model by ensuring extensive participation of intermediate nodes. The proposed scheme Simulated in MATLAB, the study outcome shows that it offers a good balance between energy efficiency and communication performance in comparison to existing hybrid MAC schemes.

show abstract

Traffic Adaptive Hybrid MAC with QoS Driven Energy Efficiency for WSNs Through Joint Dynamic Scheduling Mode

Cited by 4 publications

References 0 publications

Energy Optimization in Wireless Sensor Networks for Forest Fire Detection: A Study of Sleep Scheduling Techniques

Energy Optimization in Wireless Sensor Networks for Forest Fire Detection: A Study of Sleep Scheduling Techniques

Generation of broadcasting for fractal adaptive Internet of things reconfiguration under the swarm intelligence paradigm

Optimizing Performance Parameters in Wireless Sensor Network using Hybrid Medium Access Control

Contact Info

Product

Resources

About