Analytic comparison of wake-up receivers for WSNs and benefits over the wake-on radio scheme

Jeličić, Vana; Magno, Michele; Brunelli, Davide; Bilas, Vedran; Benini, Luca

doi:10.1145/2387191.2387206

Cited by 86 publications

(62 citation statements)

References 24 publications

(49 reference statements)

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“…Among the different categories of duty-cycling, namely synchronous, pseudo-asynchronous and pure asynchronous. The latter provides the most efficient solution in terms of energy consumption [3].…”

Section: B Wake-up Radio Schemementioning

confidence: 99%

“…Although there are numerous methods to achieve energy efficiency, such as using lightweight communication protocols [2] or adopting low-power radio transceivers [3], the recent technology trend in energy harvesting provides a fundamental method to prolong battery longevity. Thus, energy harvesting is a promising approach for the emerging IoT [4].…”

Section: Introductionmentioning

confidence: 99%

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Wireless energy harvesting for the Internet of Things

et al. 2015

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Internet of Things (IoT) is an emerging computing concept that describes a structure in which everyday physical objects, each provided with unique identifiers, are connected to the Internet without requiring human interaction.Long-term and self-sustainable operation are key components for realization of such a complex network, and entail energy-aware devices that are potentially capable of harvesting their required energy from ambient sources. Among different energy harvesting methods such as vibration, light and thermal energy extraction, wireless energy harvesting (WEH) has proven to be one of the most promising solutions by virtue of its simplicity, ease of implementation and availability. In this article, we present an overview of enabling technologies for efficient WEH, analyze the life-time of WEH-enabled IoT devices, and briefly study the future trends in the design of efficient WEH systems and research challenges that lie ahead.

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Section: B Wake-up Radio Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Wireless energy harvesting for the Internet of Things

et al. 2015

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“…Note that several studies such as Ref. [15] reported that the idle listening consumes significant power and is a major factor to reduce network lifetime. Their idea in Ref.…”

Section: Related Workmentioning

confidence: 99%

Scheduling Beacon Transmission to Improve Delay for Receiver-initiated-MAC Based Wireless Sensor Networks

Fujimoto

Masui

Yoshihiro

2018

Journal of Information Processing

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Many low-energy MAC and routing protocols have been proposed for Wireless Sensor Networks (WSNs) since reducing energy consumption is a primary concern to meet the requirements of practical applications. Reducing delivery delay is, indeed, another promising requirement in WSNs because a large part of applications of WSNs intends to watch the sensed objects in real time although the amount of allowable delay differs according to cases. In this paper, we deal with a class of receiver-initiated MAC protocols, which is a promising energy-efficient MAC mechanism, and propose to schedule beacon timings so as to reduce the delivery delay of data packets. The key idea is to schedule beacon timings in the sequence of distance from leaf node to the sink node and reduce the time of packets staying at each node. Specifically, each sensor node selects a time slot to send beacon in a distributed manner based on their distances (i.e., hop counts) from the sink node, and autonomously adjusts its beacon timing to avoid frame collisions. Computer simulations show that the proposed protocol can collect data in a shorter time with less energy consumption than the conventional receiver-initiated MAC protocols.

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“…The other is asynchronous wake-up by external triggers. In this method, each node uses a low power wake-up radio (WuR) [4][5][6] to accept remote wake-up request, and activates its powerhungry parts on demand. Recently, the standardization of wake-up control for WLAN module was started as well [7].…”

Section: Introductionmentioning

confidence: 99%

Reducing false wake-up in contention-based wake-up control of wireless LANs

Tang

Obana

2018

Wireless Netw

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This paper studies the potential problem and performance when tightly integrating a low power wake-up radio (WuR) and a power-hungry wireless LAN (WLAN) module for energy efficient channel access. In this model, a WuR monitors the channel, performs carrier sense, and activates its co-located WLAN module when the channel becomes ready for transmission. Different from previous methods, the node that will be activated is not decided in advance, but decided by distributed contention. Because of the wake-up latency of WLAN modules, multiple nodes may be falsely activated, except the node that will actually transmit. This is called a false wake-up problem and it is solved from three aspects in this work: (i) resetting backoff counter of each node in a way as if it is frozen in a wake-up period, (ii) reducing false wake-up time by immediately putting a WLAN module into sleep once a false wake-up is inferred, and (iii) reducing false wake-up probability by adjusting contention window. Analysis shows that false wake-ups, instead of collisions, become the dominant energy overhead. Extensive simulations confirm that the proposed method (WuR-ESOC) effectively reduces energy overhead, by up to 60% compared with state-of-the-arts, achieving a better tradeoff between throughput and energy consumption.

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Analytic comparison of wake-up receivers for WSNs and benefits over the wake-on radio scheme

Cited by 86 publications

References 24 publications

Wireless energy harvesting for the Internet of Things

Wireless energy harvesting for the Internet of Things

Scheduling Beacon Transmission to Improve Delay for Receiver-initiated-MAC Based Wireless Sensor Networks

Reducing false wake-up in contention-based wake-up control of wireless LANs

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