Optimization and modeling of modified unslotted CSMA/CA for wireless sensor networks

Mahmoud, Gamal M.; Sadek, Nayera; Rizk, Mohamed R. M.; Ahmed, Magdy A.

doi:10.1016/j.aej.2020.01.035

Cited by 18 publications

(12 citation statements)

References 13 publications

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“…Data transmission specification of NWK layer, APL layer, and APS layer adopts Zigbee protocol specification. The data transmission specification of the physical layer (PHY layer) and Media Access Control layer (MAC layer) adopts IEEE802.15.4 protocol specification, which is Zigbee wireless network [ 15 ].…”

Section: System Requirement Analysismentioning

confidence: 99%

Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning

Zong

2022

Computational Intelligence and Neuroscience

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Nuclear radiation environmental monitoring has become an important issue in floor surveys. From the perspective of regional environmental nuclear radiation monitoring, it is of great practical significance to establish a scientific and reliable wireless sensor monitoring network for timely and accurately grasping nuclear radiation status and ensuring nuclear safety. In this article, we design a regional environmental nuclear radiation monitoring system based on Zigbee wireless sensor network by using Zigbee wireless technology. First, the network topology suitable for nuclear radiation environment monitoring is designed. Second, the JN5121 module is selected as the core of the Zigbee wireless sensor to build the network hardware platform. Finally, the article focuses on the receiving mechanism, data transmission, coordination between network nodes, network structure, and dynamic network management, and carries on the software development to the Zigbee wireless environment monitoring network. The system can measure the data in real time, display the dose rate of y radiation effectively, and realize the functions of remote control, field control, security alarm, and environmental monitoring. It has good promotion and application value.

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Section: System Requirement Analysismentioning

confidence: 99%

Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning

Zong

2022

Computational Intelligence and Neuroscience

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“…The idea of optimizing CSMA algorithm is also a successful way to reduce transmission delay especially handoff time. Gamal et al [28] use a markov model to reduce the average delay and improve reliability compared to the standard algorithm. Enhancement is less remarkable when node number increase.…”

Section: Improvement Of Wsn Mac Protocolsmentioning

confidence: 99%

Elastic hybrid MAC protocol for wireless sensor networks

Bhar

Bouazzi

2021

IJECE

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The future is moving towards offering multiples services based on the same technology. Then, billions of sensors will be needed to satisfy the diversity of these services. Such considerable amount of connected devices must insure efficient data transmission for diverse applications. Wireless sensor network (WSN) represents the most preferred technology for the majority of applications. Researches in medium access control (MAC) mechanism have been of significant impact to the application growth because the MAC layer plays a major role in resource allocation in WSNs. We propose to enhance a MAC protocol of WSN to overcome traffic changes constraints. To achieve focused goal, we use elastic hybrid MAC scheme. The main interest of the developed MAC protocol is to design a medium access scheme that respect different quality of services (QoS) parameters needed by various established traffic. Simulation results show good improvement in measured parameters compared to typical protocol.

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“…Inspired by Bianchi's 20 work, many models of the IEEE 802.15.4 MAC layer have been proposed in the literature. 7,[21][22][23][24][25][26][27] The majority of them are the Markov chain based. [21][22][23][24][25][26][27] Park et al 21 propose a general Markov chain model for the analysis of the IEEE 802.15.4 MAC layer.…”

Section: Related Workmentioning

confidence: 99%

“…IEEE 802.15.4 has been thoroughly investigated and many models together with optimization approaches have been proposed in the literature. 7–27 Most of the proposed analytical models focus on either the physical layer or on the MAC layer. While in fact, the performance of communication is affected by both layers.…”

Section: Related Workmentioning

confidence: 99%

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Modeling and parameter analysis of IEEE 802.15.4-based networks and the metering application

Wang

Yang

Han

et al. 2020

International Journal of Distributed Sensor Networks

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As the support of wireless sensor networks expands to various application scenarios, the communication environments and the performance requirements of different application scenarios vary a lot. To cope with different communication environments and performance requirements, both data transmission ability and medium access ability are equivalently important. In this article, a joint analytical model is proposed to fully and precisely estimate networks’ communication performance, energy efficiency, and scalability. In the proposed model, both the physical layer’s and medium access control layer’s key parameters are taken into consideration. By comparing with OPNET-based simulation model, the rationality of the proposed analytical model is first validated under a wide range of network scenarios. Then, a series of simulations under general network scenarios and metering network scenarios are conducted. With these simulations, the performance of adjusting both layers’ parameters in improving communication performance and energy efficiency was proved superior to single-layer’s parameter optimizations. Finally, by comparing the available range of different key parameters’ optimal value under different network scenarios, the maximum backoff numbers and the minimum backoff exponent are considered to be the most effective parameters for metering network optimization.

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Optimization and modeling of modified unslotted CSMA/CA for wireless sensor networks

Cited by 18 publications

References 13 publications

Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning

Design of Nuclear Radiation Monitoring System in Floor Exploration Based on Deep Learning

Elastic hybrid MAC protocol for wireless sensor networks

Modeling and parameter analysis of IEEE 802.15.4-based networks and the metering application

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