A Collision-aware MAC Protocol for Efficient Performance in Wireless Sensor Networks

Hajaje, Hamid; Khanafer, Mounib; Guennoun, Zouhair; Israr, Junaid; Guennoun, Mouhcine

doi:10.14569/ijacsa.2021.0120343

Cited by 3 publications

(2 citation statements)

References 36 publications

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“…We use a Markov chain to simulate our technique and run numerous simulations to test and validate our system. Our results indicate that an effective backoff algorithm will perform well [12][27] [28]. This article proposes a new medium access control (MAC) protocol for sensor devices with less power that is appropriate for Internet of Things (IoT) systems.…”

Section: IImentioning

confidence: 99%

Cross-Layer Optimization on Different Data Rates for Efficient Performance in Wireless Sensor Network

Anju,

Bindal,

Bhatia

et al. 2023

IJRITCC

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The traditional protocols used in wireless sensor networks adhere to stringent layering approaches, which decreases the performance of the quality of service (Quality of Service) metrics. As per specifications 802.15.4, wireless sensor networks are inexpensive and energy efficient. It is essential for evaluating the performance of WSNs. Researchers have looked into the fundamental aspects of a single physical layer and the medium access control (MAC) layer protocol using methodologies calculated using several mathematical models or experimental approaches, respectively. In this research, we offer an improved cross-layer analytical model that utilises a thorough combining and interacting of a Markov chain model of the MAC layer's propagation with a model of the PHY layer's propagation. This combination and interaction are described in detail. Various Quality of Service (quality of service) statistics are presented and evaluated, and a cross-layer effectiveness degradation study is conducted under different inputs of multi-parameter vectors. Other parameters, such as Average Wait Time, Reliability, Failure Probability, and Throughput, have been estimated from the simulation results and contrasted with standardised models. The cross-layer model provides a more thorough performance study with various cross-layer parameter sets, some of which comprise distance, power transmission, and offered loads, among other things.

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Section: IImentioning

confidence: 99%

Cross-Layer Optimization on Different Data Rates for Efficient Performance in Wireless Sensor Network

Anju,

Bindal,

Bhatia

et al. 2023

IJRITCC

View full text Add to dashboard Cite

show abstract

“…By adopting an adaptive, probabilistic technique to manage the size of the contention window, Hamid et al 34 proposed an adaptive backoff algorithm (ABA). ABA outperforms the BEB (Binary Exponential Back off) algorithm regarding power consumption, channel collision time, channel utilization, and reliability.…”

Section: Related Workmentioning

confidence: 99%

An optimized joint medium access control and routing protocol with iterative contention window adjustment mechanism for a guaranteed lifetime in Internet of Things‐based wireless sensor networks

Nizampatnam

Shankar

Yamuna

2022

Int J Communication

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The problem of extending the lifespan of wireless sensor networks (WSN) based on the Internet of Things (IoT) has been widely investigated over the last 20 years. This paper proposes an Optimized J-RMAC (optimized joint routing and media access control protocol) to guarantee the network lifetime in IoT-based WSN. Initially, all sensor nodes report their position and coverage information to the sink, which uses this information to pick a list of active nodes based on energy usage and active time. Then, the k-covered network is formed to execute the routing task by selecting the active nodes with the largest sensing areas. A multi-objective seagull optimization algorithm (MO-SOA) represents routing paths between the source and destination by considering two objective functions: energy consumption cost and end-to-end delay of a routing path. After that, the contention window of the nodes in the routing path is adjusted using a new iterative adaptive adjustment process of the contention window with adjustment parameters (IAACW-AP) to avoid message conflicts. The proposed protocol is simulated in the NS2 simulator. The performance of the proposed protocol will be compared with existing strategies in terms of network lifetime, packet delivery ratio, communication overhead, energy consumption, and delay.

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Improving performance metrics in WBANs with a dynamic next beacon interval and superframe duration scheme

Alawadhi,

Almogahed,

Mohammed

et al. 2024

Heliyon

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A Collision-aware MAC Protocol for Efficient Performance in Wireless Sensor Networks

Cited by 3 publications

References 36 publications

Cross-Layer Optimization on Different Data Rates for Efficient Performance in Wireless Sensor Network

Cross-Layer Optimization on Different Data Rates for Efficient Performance in Wireless Sensor Network

An optimized joint medium access control and routing protocol with iterative contention window adjustment mechanism for a guaranteed lifetime in Internet of Things‐based wireless sensor networks

Improving performance metrics in WBANs with a dynamic next beacon interval and superframe duration scheme

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