Enabling early sleeping and early data transmission in wake-up radio-enabled IoT networks

Ghose, Debasish; Frøytlog, Anders; Li, Frank Yong

doi:10.1016/j.comnet.2019.03.002

Cited by 21 publications

(11 citation statements)

References 18 publications

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“…For example, they propose to spread each bit into a code of 15 bits, thus an address of 4 bits requires 60 bits once being encoded, which will drastically increase the latency especially when low bit rate WuRs are used. Ghose et al proposed in [12] to transmit a small amount of data by adding a Cyclic Redundancy Check (CRC). This CRC concerns only the data and not the address sent in the WUB, and thus if an error occurs during the transmission of the address contained in the WUB, it can not be detected.…”

Section: B Channel Codingmentioning

confidence: 99%

“…through more sophisticated circuit design) would sacrifice the power consumption, thus a tradeoff between power consumption and sensitivity should be made. To deal with this problem, channel coding can be used as proposed in [12] and [13]. In the present paper, we propose a channel coding scheme that was never addressed for the WuR and that can fit the design of the WuR based on OOK.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

MEES-WuR: Minimum Energy Coding With Early Shutdown for Wake-Up Receivers

Djidi

Gautier

Courtay

et al. 2021

IEEE Trans. on Green Commun. Netw.

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One of the main challenges of wireless sensor networks is to maintain sensor nodes alive as long as possible, and a lot of efforts are dedicated to enable energy efficient communications. Wake-Up Receivers (WuRs) represent a promising solution for reducing the power consumption of nodes by enabling asynchronous communications. However, to achieve an ultra-low power consumption, WuRs circuits are kept as simple as possible, inducing a low sensitivity and thus a short range communication. As channel coding improves sensitivity, we propose to take advantage of the computing capability of the WuRs to apply a specific channel coding. The novelty resides in applying Minimum Energy coding with an Early Shutdown (MEES) of WuRs based on On-Off Keying (OOK) detectors. Both theoretical derivations and Monte-Carlo simulations show that the proposed coding scheme improves the reliability. Moreover, Moreover, MEES has been implemented on a non-coherent WuR prototype, and it is shown through experimentation that WuR reliability can be raised up to 22% compared to uncoded communications. Moreover, both the energy consumption and the latency can be significantly decreased thanks to the shutdown mechanism of MEES.

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Section: B Channel Codingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MEES-WuR: Minimum Energy Coding With Early Shutdown for Wake-Up Receivers

Djidi

Gautier

Courtay

et al. 2021

IEEE Trans. on Green Commun. Netw.

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show abstract

“…However, the access procedures requires listening to the control channel and exchanging signal for random access, synchronization, and resource reservation [6,15], resulting in a challenge to realize the long-lasting battery limited devices activities [14,16]. As per the state-of-the-art, extensive efforts are made to improve the energy efficiency of IoT devices such as discontinuous reception (DRX) [17], power-saving mode (PSM) [18], lightweight communications protocols [19,20], low-power radio transceivers [19,21], idle listening [22], and duty cycling [20,23]. These methods imply an inherent trade-off between reachability and energy saving of the devices [24].…”

Section: A Energy-efficient Cellular Iotmentioning

confidence: 99%

“…To page a device, the network broadcasts a wake-up signal, including the device's unique address, to all devices. The device is equipped with an auxiliary WuRconsuming much less power than the primary device [26]to receive and decode every wake-up signal and prompt the device if required [22,27]. As a result, the power consumption of WuR lies in the µW domain, whereas the IoT device may consume several milliwatts [28,29].…”

Section: B the Wur Approachmentioning

confidence: 99%

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Mafi¹,

Amirhosseini²,

Hosseini³

et al. 2021

Preprint

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Providing energy-efficient Internet of Things (IoT) connectivity has attracted significant attention in fifth-generation (5G) wireless networks and beyond. A potential solution for realizing a long-lasting network of IoT devices is to equip each IoT device with a wake-up receiver (WuR) to have always-accessible devices instead of always-on devices. WuRs typically comprise a radio frequency demodulator, sequence decoder, and digital address decoder and are provided with a unique authentication address in the network. Although the literature on efficient demodulators is mature, it lacks research on fast, low-power, and reliable address decoders. As this module continuously monitors the received ambient energy for potential paging of the device, its contribution to WuR's power consumption is crucial. Motivated by this need, a low-power, reliable address decoder is developed in this paper. We further investigate the integration of WuR in low-power uplink/downlink communications and, using systemlevel energy analysis; we characterize operation regions in which WuR can contribute significantly to energy saving. The devicelevel energy analysis confirms the superior performance of our decoder. The results show that the proposed decoder significantly outperforms the state-of-the-art with power consumption of 60 nW, at cost of compromising negligible increase in decoding delay.

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“…In 2019, Debasish Ghose et al [2], presented two models, such as EDT and ES and, to additional decrease latency and energy utilization in WuR-enabled WSNs/IoT. In order to address bit-by-bit, the ES model was utilized to examine and decodes, permitting those non-destined devices to go to sleep at a previous phase.…”

Section: Literature Reviewmentioning

confidence: 99%

Multipath Transmission in IoT using Hybrid Salp Swarm-Differential Evolution Algorithm

2020

JNACS

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The improvements in technology in the field of communication did Wireless Sensor Network (WSN) on the basis of the IoT desirable and appropriate to several regions. It is encompassed that IoT nodes perform on restricted battery provisions. Therefore, a maximum-routing protocol performance is necessary for routing in such networks to surmount the energy constraint issues. For multipath data transmission, an energy-efficient routing algorithm named Hybrid Salp Swarm and Simulated Algorithm (Hybrid SS and SA) is adopted in this work. The adopted approach enhanced the routing procedure in a dual-phase procedure. Initially, the cluster heads are chosen by exploiting the Salp Swarm Algorithm. Subsequently, multiple paths are produced from the sender to the receiver by exploiting DE. Here, inter and intra-cluster distance, energy, delay and lifetime is considered as the objective function. In the fitness model, an optimal path for the transmission is presented. Finally, the investigational outcomes exhibit that the performance of the proposed model shows maximum performance with respect to the alive nodes and energy in contrast with the conventional approaches.

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Enabling early sleeping and early data transmission in wake-up radio-enabled IoT networks

Cited by 21 publications

References 18 publications

MEES-WuR: Minimum Energy Coding With Early Shutdown for Wake-Up Receivers

MEES-WuR: Minimum Energy Coding With Early Shutdown for Wake-Up Receivers

Ultra-Low-Power IoT Communications: A novel address decoding approach for wake-up receivers

Multipath Transmission in IoT using Hybrid Salp Swarm-Differential Evolution Algorithm

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