A hybrid MAC protocol for wireless sensor networks

Hsieh, Tsung-Han; Lin, Kuei-Ying; Wang, Pi-Chung

doi:10.1109/icnsc.2015.7116016

Cited by 18 publications

(11 citation statements)

References 19 publications

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“…Besides the dynamic modification of the length of the CAP duration has improved the QoS. Experimental results presented a rate difference between the present study and that of [20,26]. Simulation results of the comparison between this finding and the IEEE-802.15.4 standard show an excellent improvement in energy consumption, better amelioration of the throughput and a significant reduction for Energy efficiency is a key issue in WSN; it is known that energy efficiency is a conflicting design objective.…”

Section: Discussionmentioning

confidence: 52%

A New Medium Access Control Mechanism for Energy Optimization in Wsn: Traffic Control and Data Priority Scheme

Bouazzi

Zaidi

Usman

et al. 2020

Preprint

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Over the last few years, energy optimization in Wireless Sensor Networks (WSNs) has drawn the attention of both the research community and actual users.Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design.Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive Medium Access Control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) algorithm.However, other types of nodes should send their data during the Contention Free Period (CFP) with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the Contention Access Period (CAP) length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the Network Simulator tool (NS-2) and it has improved efficiency regarding the IEEE-802.15.4 standard.

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Section: Discussionmentioning

confidence: 52%

A New Medium Access Control Mechanism for Energy Optimization in Wsn: Traffic Control and Data Priority Scheme

Bouazzi

Zaidi

Usman

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…A MAC protocol algorithm [20] optimized both the energy consumption and the packet latency. Authors, in this work, proposed a crossing hybrid MAC scheme that dynamically switched the communication channel for MAC protocol between TDMA and CSMA.…”

Section: Related Workmentioning

confidence: 99%

A New Medium Access Control Mechanism for Energy Optimization in WSN: Traffic Control and Data Priority Scheme

Bouazzi

Zaidi

Usman

et al. 2021

Preprint

View full text Add to dashboard Cite

Over the last few years, energy optimization in Wireless Sensor Networks (WSNs) has drawn the attention of both the research community and actual users. Sensor nodes are powered by attached batteries that are considered as a critical aspect of sensor nodes design. Besides, the constraint of the limited battery capacity is associated with the concern on how to reduce the energy consumption of nodes to extend the network lifetime. In this context, the purpose of this study is to implement an adaptive Medium Access Control (MAC) for energy saving and traffic control enhancement. This program was designed to arrange nodes into two priority groups according to their traffic rate and data transmission packet delay. This fuzzy algorithm depends on their queue length where it is implemented into the Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) algorithm. However, other types of nodes should send their data during the Contention Free Period (CFP) with a GTS reallocation scheme. Those nodes are classified as low priority access to the medium and their data transmission is scheduled using time division multiple access methods. Moreover, this proposed scheme dynamically adjusts the Contention Access Period (CAP) length to ensure that nodes can complete their data transmission during the same super-frame. Simulation results are done using the Network Simulator tool (NS-2) and it has improved efficiency regarding the IEEE-802.15.4 standard.

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“…They jointly maintain switching between the two as per the requirements. Certain examples of protocols based on hybrid scheme are Z‐MAC, ER‐MAC, and a hybrid MAC protocol for WSN . Table shows the comparison among all the aforementioned MAC schemes based on different performance metrics highlighting their strengths and limitations.…”

Section: Mac Layer Characteristics and Influencementioning

confidence: 99%

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

Raza

Faheem

Guenes

2019

Int J Communication

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Summary The vision to connect everyday physical objects to the Internet promises to create the Internet of Things (IoT), which is expected to integrate the diverse technologies such as sensors, actuators, radio frequency identification, communication technologies, and Internet protocols. Thus, IoT promises to transfer traditional industry to advance digital industry known as the Industry 4.0. At the core of the Industry 4.0 are the wireless sensor networks (WSNs) and wireless sensor and actuator networks (WSANs) that led to the development of industrial wireless sensor networks (IWSNs) and industrial wireless sensor and actuator networks (IWSANs). These networks play a central role of connecting machines, parts, products, and humans and create a diverse set of new applications to support intelligent and autonomous decision making. The IWSAN is a promising technology for numerous industrial applications because of their several potential benefits such as simple deployment, low cost, less complexity, and mobility support. However, despite such benefits, they impose several unique challenges at different layers of the protocol stack when deploying them for various monitoring and control applications in the Industry 4.0. In this article, we explore IWSAN, its applications, requirements, challenges, and solutions in the context of industrial control applications. Our main focus is on the medium access control (MAC) layer that can be exploited to satisfy such requirements. Our discussion presents extensive background study of the MAC schemes and it reviews the MAC protocols of the existing wireless standards and technologies. A number of application‐specific MAC protocols developed to support industrial applications, which are not part of these standards, are also elaborated. We rationalize to what extent the existing standards and protocols help in solving such requirements as laid down by the Industry 4.0. In the end, we emphasize on existing challenges and present important future directions.

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A hybrid MAC protocol for wireless sensor networks

Cited by 18 publications

References 19 publications

A New Medium Access Control Mechanism for Energy Optimization in Wsn: Traffic Control and Data Priority Scheme

A New Medium Access Control Mechanism for Energy Optimization in Wsn: Traffic Control and Data Priority Scheme

A New Medium Access Control Mechanism for Energy Optimization in WSN: Traffic Control and Data Priority Scheme

Industrial wireless sensor and actuator networks in industry 4.0: Exploring requirements, protocols, and challenges—A MAC survey

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