Optimised approach based on hybrid MAC protocol for M2M networks

Saad, Waleed; El-Feshawy, Somaya A.; Shokair, Mona; Dessouky, M. I.

doi:10.1049/iet-net.2017.0240

Cited by 19 publications

(24 citation statements)

References 22 publications

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“…The devices that successfully contend in the contention period are assigned a time slot for data transmission in the transmission period. A similar hybrid MAC protocol is proposed in [33], wherein slotted ALOHA is used in the contention period and reservationbased time division multiple access (TDMA) is used in the transmission period. The protocol proposed in [32] is extended to heterogeneous M2M networks in [34], wherein different types of devices with different service requirements and priorities are considered.…”

Section: Related Workmentioning

confidence: 99%

Fast node cardinality estimation and cognitive MAC protocol design for heterogeneous machine-to-machine networks

Kadam

Raut²,

Meena³

et al. 2020

Wireless Netw

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Machine-to-Machine (M2M) networks are an emerging technology with applications in numerous areas including smart grids, smart cities, vehicular telematics, and healthcare. In this paper, we design two estimation protocols for rapidly obtaining separate estimates of the number of active nodes of each traffic type in a heterogeneous M2M network with T types of M2M nodes (e.g., those that send emergency, periodic, normal type data etc), where T ≥ 2 is an arbitrary integer. One of these protocols, Method I, is a simple scheme, and the other, Method II, is more sophisticated and performs better than Method I. Also, we design a medium access control (MAC) protocol that supports multi-channel operation for a heterogeneous M2M network with an arbitrary number of types of M2M nodes, operating as a secondary network using Cognitive Radio technology. Our Cognitive MAC protocol uses the proposed node cardinality estimation protocols to rapidly estimate the number of active nodes of each type in every time frame; these estimates are used to find the optimal contention probabilities to be used in the MAC protocol. We compute a closed form expression for the expected number of time slots required by Method I to execute as well as a simple upper bound on it. Also, we mathematically analyze the performance of the Cognitive MAC protocol and obtain expressions for the expected number of successful contentions per frame and the expected amount of energy consumed. Finally, we evaluate the performances of our proposed estimation protocols and Cognitive MAC protocol using simulations.

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Section: Related Workmentioning

confidence: 99%

Fast node cardinality estimation and cognitive MAC protocol design for heterogeneous machine-to-machine networks

Kadam

Raut²,

Meena³

et al. 2020

Wireless Netw

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“…Gbr. 1 memperlihatkan desain komunikasi M2M yang terdiri atas domain perangkat, domain jaringan, dan domain aplikasi [3]. Pengiriman data dimulai ketika PKM menginformasikan permintaan ke PKMG, kemudian PKMG mengindera saluran dan mengirimkan hasilnya ke PKM.…”

Section: Pendahuluanunclassified

Komunikasi M2M Kognitif Berbasis PRMA dengan Multi Ultra Frame dan Payload Exchange

Arifianto¹,

Sofwan²,

Prakoso³

2019

Jurnal Nasional Teknik Elektro dan Teknologi Informasi

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M2M communication is the process of exchanging data between devices on a network of capillary systems. The communication channel used is an empty space on a TV channel with a cognitive radio mechanism combined PRMA with a fixed and periodic scheme. The scheme has a working system that allows PRMA to place data in the same free space, which causes collisions. Therefore, it needs repetition, which requires more energy and causes inefficient communication. Thus, a Multi Ultra Frame (MUF) and Payload Exchange (PE) data exchange scheme is proposed to reduce collisions and repetition by giving grades and features to the data, with the aim to achieve optimal use of empty space. An indication of efficient communication is the optimal use of empty space, which affects the throughput (PT), duty cycle (Cyl), and interference ratio (fo). The higher PT and the lower Cyl and fo, the more efficient the communication. MUF and PE schemes produce PT of 99-41%, Cyl of 1-4.4%, and fo of 10-33%. Fixed and periodic schemes produce PT of 81-21%, Cyl of 2-9%, and fo of 15-52%. Optimization of MUF and PE schemes produce PT of 99-70%, Cyl of 0.5-2.2%, and fo of 8-14%. Optimization of fixed and periodic schemes produce PT of 66-35%, Cyl of 3-6%, and fo of 19-28%. Intisari-Komunikasi M2M merupakan proses pertukaran data antar perangkat pada jaringan sistem kapiler. Saluran komunikasi yang digunakan adalah ruang kosong pada saluran TV dengan mekanisme radio kognitif kombinasi PRMA skema tetap dan periodik. Skema tersebut memiliki sistem kerja yang menjadikan PRMA dapat menempatkan data pada ruang kosong yang sama, yang menyebabkan tabrakan. Oleh karena itu, diperlukan pengulangan, yang memerlukan energi lebih banyak, sehingga komunikasi menjadi tidak efisien. Dengan demikian, diusulkan skema pertukaran data Multi Ultra Frame (MUF) dan Payload Exchange (PE) untuk mengurangi tabrakan serta pengulangan dengan memberikan grade dan keutamaan pada data, dengan tujuan agar penggunaan ruang kosong dapat optimal. Indikasi komunikasi yang efisien adalah penggunaan ruang kosong yang sangat optimal yang berpengaruh pada throughput (PT), duty cycle (Cyl), dan interference ratio (fo). Semakin tinggi PT dan semakin rendah Cyl serta fo, semakin efisien komunikasi. Skema MUF dan PE menghasilkan PT sebesar 99-41%, Cyl 1-4,4%, dan fo 10-33%. Skema tetap dan periodik menghasilkan PT 81-21%, Cyl 2-9%, dan fo 15-52%. Optimasi skema MUF dan PE menghasilkan PT 99-70%, Cyl 0,5-2,2%, dan fo 8-14%. Sedangkan optimasi skema tetap dan periodik memberikan PT 66-35%, Cyl 3-6%, dan fo 19-28%.

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“…A case study of industrial application has been taken by Meinyk et al [14], where the study found different hybrid MAC applicable over the resource-constrained wireless transmission. Saad et al [15] have offered an optimized scheme focusing on machine-to-machine communication using a hybrid MAC system where Monte-Carlo simulation has been used. Apart from this, there are various other approaches, e.g., Yang et al [16], Deng et al [17], Ma et al [18], Jeon et al [19],Cao et al [20], Alam and Kim [21], Nguyen et al [22], Yang et al [23], Liu et al [24], Hu et al [25].…”

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

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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.

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Optimised approach based on hybrid MAC protocol for M2M networks

Cited by 19 publications

References 22 publications

Fast node cardinality estimation and cognitive MAC protocol design for heterogeneous machine-to-machine networks

Fast node cardinality estimation and cognitive MAC protocol design for heterogeneous machine-to-machine networks

Komunikasi M2M Kognitif Berbasis PRMA dengan Multi Ultra Frame dan Payload Exchange

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

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