Low power wake-up receiver for wireless sensor nodes

Gamm, Gerd Ulrich; Sippel, Matthias; Kostić, Miloš; Reindl, L.

doi:10.1109/issnip.2010.5706778

Cited by 73 publications

(75 citation statements)

References 3 publications

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“…This simulation model represents a real hardware platform completely developed from scratch, the details of which can be found in [6], [7]. In our preliminary work in [13] consisting a single scenario, we evaluated a single performance metric and two default WSN MAC protocols from MiXiM without any interference or mobility conditions.…”

Section: Related Workmentioning

confidence: 99%

“…The WuR platform analyzed in this paper is called SubCarrier Modulation Wake-up Radio (SCM-WuR) and its details can be found in [6], [7]. In SCM-WuR, both WuC and data transmissions are generated by the same CC1101 transceiver [19] by dynamically changing the radio settings.…”

Section: B Wake-up Radio Design Implementationmentioning

confidence: 99%

“…These include characterizations of known hardware radio transceivers such as CC2420 or CC1101, as well as implementations of two largely recognized MAC protocols for WSN; that is, B-MAC and unslotted IEEE 802.15.4. For greater significance of the results, we develop and add two implementations of broadly known MAC protocols to MiXiM, X-MAC [4] and RI-MAC [5], by strictly following the design guidelines in their respective research papers, altogether with our above-mentioned simulation model for our real hardware WuR platform, introduced in [6] and characterized in [7]. For the WuR parameter characterization, we employ empirical time and current consumption values measured from real evaluation boards.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Has Time Come to Switch From Duty-Cycled MAC Protocols to Wake-Up Radio for Wireless Sensor Networks?

Oller

Demirkol

Casademont

et al. 2016

IEEE/ACM Trans. Networking

Self Cite

161

106

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Abstract-Duty-cycled Medium Access Control (MAC) protocols certainly improve the energy efficiency of wireless networks. However, most of these protocols still suffer from severe degrees of overhearing and idle listening. These two issues prevent optimum energy usage, a crucial aspect in energy-constrained wireless networks such as Wireless Sensor Networks (WSN). Wake-up Radio (WuR) systems drastically reduce these problems by completely switching off the nodes' MicroController Unit (MCU) and main radio transceiver until a secondary, extremely low-power receiver is triggered by a particular wireless transmission, the so called Wake-up Call. Unfortunately, most WuR studies focus on theoretical platforms and/or custom-built simulators. Both these factors reduce the associated usefulness of the obtained results. In this paper, we model and simulate a real, recent and promising WuR hardware platform developed by the authors. The simulation model uses time and energy consumption values obtained in the laboratory and does not rely on custombuild simulation engines but rather on OMNET++ simulator. The performance of the WuR platform is compared with four of the most well-known and widely employed MAC protocols for WSN under three real-world network deployments. The paper demonstrates how the use of our WuR platform presents numerous benefits in several areas, from energy-efficiency and latency to packet delivery ratio and applicability, and provides the essential information for serious consideration of switching duty-cycled MAC-based networks to WuR.

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Section: Related Workmentioning

confidence: 99%

Section: B Wake-up Radio Design Implementationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Has Time Come to Switch From Duty-Cycled MAC Protocols to Wake-Up Radio for Wireless Sensor Networks?

Oller

Demirkol

Casademont

et al. 2016

IEEE/ACM Trans. Networking

Self Cite

161

106

View full text Add to dashboard Cite

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“…For this reason, it can really be important to replace spiral inductors with active circuits behaving like inductors, but characterized by a very reduced semiconductor area occupation. It is well known that an inductor can be simulated by a gyrator loaded by a capacitance; in the literature and in the commercial market, a lot of solutions have been proposed that use the gyrator principle to simulate an inductive behavior at microwave frequency range [15,16,[18][19][20][21][22][23][24][25][26][27][28][29][30][31][32]. Analog filters using Active Inductors (AIs) are good candidates for high-frequency operation; therefore, considerable interest has been shown in their use in active filters.…”

Section: Introductionmentioning

confidence: 99%

Microwave Active Filter Design

Stornelli¹,

Pantoli²,

Leuzzi³

2017

Microwave Systems and Applications

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A simplified method for the project and design of microwave active filters is presented here. The presented design is based on the use of an active inductor that emulates an inductor behavior by implementing a passive variable phase-and amplitude-compensating network and amplifiers, forming a gyrator-C architecture. This method can be applied with success for the design of bandpass filters with very high performances in terms of integration and application from a few hundreds of MHz to tens of GHs with filter high dynamic range and frequency tuning capability.

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“…In addition, any sensor node has the capability of transmitting a wake-up signal to wake up all other close-by sensor nodes. Recent research [9] has decreased the energy consumption of sensor nodes when no activity is required to less than 9 µW, whereas sensor nodes that are not equiped with wake-up receivers who uses duty cycle would be spending around 51 mW checking the medium from time to time. Fig 1 shows a sample board of a designed wake-up receiver integrated with a wireless sensor node.…”

Section: Introductionmentioning

confidence: 99%

The wake up dominating set problem

Bannoura

Ortolf

Reindl

et al. 2015

Theoretical Computer Science

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Abstract.Recently developed wake-up receivers pose a viable alternative for duty-cycling in wireless sensor networks. Here, a special radio signal can wake up close-by nodes. We model the wake-up range by the unit-disk graph. Such wake-up radio signals are very energy expensive and limited in range. Therefore, the number of signals must be minimized. So, we revisit the Connected Dominating Set (CDS) problem for unit-disk graphs and consider an online variant, where starting from an initial node all nodes need to be woken up, while the online algorithm knows only the nodes woken up so far and has no information about the number and location of the sleeping nodes. We show that in general this problem cannot be solved effectively, since a worst-case setting exists where the competitive ratio, i.e. the number of wake-up signals divided by the size of the minimum CDS, is Θ(n) for n nodes. For dense random uniform placements, this problem can be solved within a constant factor competitive ratio with high probability, i.e. 1 − n −c . For a restricted adversary with a reduced wake-up range of 1 − we present a deterministic wake-up algorithm with a competitive ratio of O(2 ) for the general problem in two dimensions. In the case of random placement without any explicit position information we present an O(log n)-competitive epidemic algorithm with high probability to wake up all nodes. Simulations show that a simplified version of this oblivious online algorithm already produces reasonable results, that allows its application in the real world.

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Low power wake-up receiver for wireless sensor nodes

Cited by 73 publications

References 3 publications

Has Time Come to Switch From Duty-Cycled MAC Protocols to Wake-Up Radio for Wireless Sensor Networks?

Has Time Come to Switch From Duty-Cycled MAC Protocols to Wake-Up Radio for Wireless Sensor Networks?

Microwave Active Filter Design

The wake up dominating set problem

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