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

Eko Arifianto, Aghus Sofwan, Teguh Prakoso

Abstract


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%.

Keywords


Komunikasi M2M; Radio kognitif; Multi Ultra Frame; Payload Exchange; PRMA

Full Text:

PDF

References


Z. Yang, S. Ping, A. Aijaz, dan A.-H. Aghvami, “A Global Optimization-Based Routing Protocol for Cognitive-Radio-Enabled Smart Grid AMI Networks,” IEEE Syst. J., Vol. 12, No. 1, hal. 1015–1023, 2016.

B. Yang, B. Li, Z. Yan, dan M. Yang, “A Channel Reservation Based Multi-Channel MAC Protocol with Serial Cooperation for the Next Generation WLAN,” IEEE International Conference on Signal rocessing, Communications and Computing (ICSPCC), 2016, hal. 1-6.

W. Saad, S.A. El-feshawy, M. Shokair, dan M.I. Dessouky, “Optimised Approach Based on Hybrid MAC Protocol for M2M Networks,” IET Networks Res., Vol. 7, No. 6, hal. 393–397, 2018.

S. Chen, “Energy Group based Random Access Method for M2M Communications,” IEEE International Conference on Signal Processing, Communications and Computing (ICSPCC), 2018, hal 1-5.

A.D. Shoaei, M. Derakhshani, dan T. Le-Ngoc, “Reconfigurable and Traffic-Aware MAC Design for Virtualized Wireless Networks via Reinforcement Learning,” IEEE Trans. Commun., Vol. 67, No. 8, hal. 5490–5505, 2019.

F.M. Awuor dan C. Wang, “Massive Machine Type Communication in Cellular System: A Distributed Queue Approach,” IEEE International Conference on Communications (ICC), 2016, hal 1-7.

S. Bayhan, L. Zheng, J. Chen, M.D. Francesco, J. Kangasharju, dan M. Chiang, “Improving Cellular Capacity with White Space Offloading,” 15th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks (WiOpt), 2017, hal 1-8.

A. Rajandekar dan B. Sikdar, “A Survey of MAC Layer Issues and Protocols for Machine-to-Machine Communications,” IEEE Internet Things J., Vol. 2, No. 2, hal. 175–186, 2015.

V. Casares-giner dan J. Martinez-bauset, “Performance Evaluation of Framed Slotted ALOHA with Reservation Packets for M2M Networks,” IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud), 2017, hal. 18–24.

D. Mazzer, “Low-Cost Embedded Cooperative Cognitive Radio for Internet of Things,” Iberchip 2016, hal. 1–4.

C. Anton-Haro dan D. Mischa, Machine-to-Machine Communications: Architecture, Performance and Applications, Cambridge, UK: Woodhead Publishing, 2015.

C. Pereira dan A. Aguiar, “Towards Efficient Mobile M2M Communications: Survey and Open Challenges,” Sensors 2014, Vol. 14, hal. 19582–19608, 2014.

Z. Yang, S. Ping, H. Sun, dan A.-H. Aghvami, “CRB-RPL: A Receiverbased Routing Protocol for Communications in Cognitive Radio Enabled Smart Grid,” IEEE Trans. Veh. Technol., Vol. 66, No. 7, hal. 5985–5994, 2017.

S. Ping, A. Aijaz, O. Holland, dan A. Aghvami, “SACRP : A Spectrum Aggregation-Based Cooperative Routing Protocol for Cognitive Radio Ad-Hoc Networks,” IEEE Trans. Commun., Vol. 63, No. 6, hal. 2015–2030, 2015.

A. Zanella, A. Biral, dan M. Zorzi, “Asymptotic Throughput Analysis of Massive M2M Access,” Information Theory and Applications Workshop (ITA), 2015, hal. 1-6.

A. Aijaz dan A.H. Aghvami, “Cognitive Machine-to-Machine Communications for Internet-of-Things: A Protocol Stack Perspective,” IEEE Internet Things J., Vol. 2, No. 2, hal. 103–112, 2015.

N. Li, C. Cao, dan C. Wang, “Dynamic Resource Allocation and Access Class Barring Scheme for Delay-Sensitive Devices in Machine to Machine (M2M) Communnications,” Sensors (Switzerland), Vol. 17, No. 6, hal. 1–20, 2017.

J. Wan, “Machine-to-Machine Communications: Architectures, Standards and Applications,” KSII Trans. Internet Inf. Syst., Vol. 6, No. 2, hal. 480–497, 2015.

S.A. Mahmud, F. Khan, M. Ali, G.M. Khan, dan F.Z. Yousaf, “Fairness Evaluation of Scheduling Algorithms for Dense M2M Implementations,” 2014 IEEE Wireless Communications and Networking Conference Workshops (WCNCW), 2014, hal. 134–139.

S. Tzeng, Y. Lin, dan L. Wei, “A Dynamic Permission Probability Control for Packet Reservation Multiple Access in Cognitive Machineto-Machine Networks,” International Conference on System Science and Engineering (ICSSE), 2018, hal. 1–5.

K. Ashrafuzzaman, “Efficient and Agile Carrier Sense Multiple Access in Capillary Machine-to-Machine Communication Networks,” IEEE ACCESS, Vol. 6, hal. 4916–4932, 2018.

X. Zhu, N. Zhang, G. Kang, Y. Zhang, dan S. Zhang, “Realization of a New Random Access Scheme for Resource Efficiency in M2M Communications,” 19th International Symposium on Wireless Personal Multimedia Communications (WPMC) Realization, 2016, hal. 1–4.

W. Ejaz dan M. Ibnkahla, “Machine-to-Machine Communications in Cognitive Cellular Systems,” IEEE International Conference on Ubiquitous Wireless Broadband (ICUWB), 2015, hal. 1–5.

A. Aijaz dan A.H. Aghvami, “PRMA-Based Cognitive Machine-to-Machine Communications in Smart Grid Networks,” IEEE Trans. Veh. Technol., Vol. 64, No. 8, hal. 3608–3623, 2015.

P. Kumar, R. Verma, A. Prakash, dan A. Agrawal, “Machine-to-Machine (M2M) Communications: A Survey Journal of Network and Computer Applications Machine-to-Machine (M2M) Communications: A Survey,” J. Netw. Comput. Appl., Vol. 66, hal. 83–105, 2016.

M. Laner, N. Nikaein, P. Svoboda, M. Popovic, D. Drajic, dan S. Krco, “Traffic Models for Machine-to-Machine (M2M) Communications: Types and Applications,” Mach. Commun., hal. 1–37, 2015.

C. Kalalas dan J. Alonso-zarate, “Efficient Cell Planning for Reliable Support of Event-Driven Machine-Type Traffic in LTE,” GLOBECOM 2017 - 2017 IEEE Global Communications Conference, 2017, hal. 1–7.

C. Kalalas, L. Ning, R. Zhang, dan Y. Wu, “Techno-Economic Study on Capillary Networks and Cellular Technologies for Machine-to-Machine Communications,” KTH Royal Institute of Technology, IK2511 Proj. Wirel. Networks Techno-economic Report, hal. 1–37, 2014.

A. Aijaz dan A. H. Aghvami, “On the Use and Optimization of PRMAbased Cognitive M2M Communications,” GLOBECOM - IEEE Glob. Telecommun. Conf., 2013, hal. 1265–1271.




DOI: http://dx.doi.org/10.22146/jnteti.v8i4.535

Refbacks

  • There are currently no refbacks.


Copyright (c) 2019 JNTETI (Jurnal Nasional Teknik Elektro dan Teknologi Informasi)

JNTETI (Jurnal Nasional Teknik Elektro dan Teknologi Informasi)

Departemen Teknik Elektro dan Teknologi Informasi, Fakultas Teknik Universitas Gadjah Mada
Jl. Grafika No 2. Kampus UGM Yogyakarta 55281
+62 274 552305
jnteti@ugm.ac.id