Energy and bandwidth-efficient channel access for local area machine-to-machine communication
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Energy and bandwidth-efficient channel access for local area machineto-machine communication J. J. Camacho-Escoto1 • Rolando Menchaca-Mendez2 • Ricardo Menchaca-Mendez2 • Jorge Bernal2 Mario E. Rivero-Angeles2 • Javier Gomez1 • J. J. Garcia-Luna-Aceves3,4
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Ó Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract Ticket Election Multiple Access (TEMA) is introduced for local machine-to-machine communication that is energy and bandwidth-efficient. TEMA is based on distributed elections held among nodes to gain interference-free access to the channel in either unicast or broadcast mode. Non-transmitting nodes can infer whether or not they are the intended receiver of a transmission and act accordingly to save energy, without the need for particular traffic patterns or explicit future transmission schedules. TEMA is shown to be correct in the sense that the channel access schedules are collision-free at the intended receivers, and intended receivers are always in receiving state. An analytical model of the performance of the protocol is used to show that TEMA attains energy-efficiency and high channel utilization even under heavy traffic and high node density conditions. A simulation-based performance analysis validates the analytical results and shows that TEMA outperforms representatives of contention-based and interference-free protocols in terms of energy efficiency, network goodput, and channel access delay. More specifically, it reduces energy consumption to half of that of state-of-theart distributed election-based protocols while providing up to 25% increase in goodput and up to 50% decrease in channel access delay. Keywords Device-to-device networks IoT Machine-to-machine communication Medium access protocols Energy efficiency
1 Introduction Machine-to-machine (M2M) communication is the main communication paradigm for supporting Internet of Things (IoT) scenarios [1]. Its objective is to enable efficient communication among a possibly very large set of
autonomous devices without human intervention [2]. M2M scenarios include smart home/office applications [3], industry 4.0 applications [4], smart grids [5], e-healthcare [6], intelligent transportation systems [7], environmental monitoring [8], smart cities [9], and many others [2, 10].
& Rolando Menchaca-Mendez [email protected] J. J. Camacho-Escoto [email protected] Ricardo Menchaca-Mendez [email protected] Jorge Bernal [email protected] Mario E. Rivero-Angeles [email protected]
J. J. Garcia-Luna-Aceves [email protected] 1
Facultad de Ingenierı´a, Universidad Nacional Auto´noma de Me´xico, Ciudad de Me´xico, Mexico
2
Centro de Investigacio´n en Computacio´n, Instituto Polite´cnico Nacional, Ciudad de Me´xico, Mexico
3
Department of Computer Science and Engineering, University of California, Santa Cruz, USA
4
Palo Alto Research Center, Palo Alto, USA
Javier Gomez [email protected]
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Wireless Networks
M2M communication is significantly different than traditional
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