PicoRadios for wireless sensor networks: the next challenge in ultra-low power design

By Jan M. Rabaey, J. Ammer, T. Karalar, Suet-Fei Li, B. Otis, M. Sheets, Tim Tuan. 2002 IEEE International Solid-State Circuits Conference. Digest of Technical Papers (Cat. No.02CH37315), 2002

423 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/09ae99571d19824a12722357d92e1389a7a5013e

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Citations in the corpus

A 52 $\mu$ W Wake-Up Receiver With $-$ 72 dBm Sensitivity Using an Uncertain-IF Architecture (2009, background): “Digital Object Identifier 10.1109/JSSC.2008.2007438 the receiver [ 1 ].”
Energy conservation in wireless sensor networks: A survey (2009, background): “The low-power radio is continuously in stand-by, and whenever receives a signal it wakes up the data radio [48], [97], [106], [120].”
Ambient backscatter: wireless communication out of thin air (2013, background): “While prior research has focused on reducing the power consumption of these analog components [23, 10, 6, 28, 13], backscatter communication is two orders of magnitude more power-efficient than state-of-the-art radio communication [25, 35, 11]; and hence is more appropriate for battery-free devices ”
A Realistic Power Consumption Model for Wireless Sensor Network Devices (2006, background): “Jay Kuo, Impact of heterogeneous deployment on lifetime sensing coverage in sensor networks, SECON2004 [23] J.”
Power Sources for Wireless Sensor Networks (2004, background): “The vast reduction in size and power consumption of CMOS circuitry has led to a large research effort based around the vision of ubiquitous networks of wireless sensor and communication nodes [1-3].”
Reconsidering wireless systems with multiple radios (2004, background): “There is also on-going research looking for ways to reduce the energy consumption of different RF circuitry components [21].”
A piezoelectric vibration based generator for wireless electronics (2004, methodology): “duty cycles are estimated at around 1% [1].”
Security in wireless sensor networks: issues and challenges (2006, background): “suffer from the lack of processing, memory and battery power [6], [7], [8], [9].”
A 1.9GHz RF Transmit Beacon using Environmentally Scavenged Energy (2003, background): “Wireless sensor networks have recently gained exposure as a means to increase the efficiency, comfort, and/or security of buildings and other infrastructures [3].”
Lightweight time synchronization for sensor networks (2003, methodology): “Pico-radio nodes are designed to be selfpowered by scavenging energy from the environment and are extremely power constrained.”
Wake on wireless: an event driven energy saving strategy for battery operated devices (2002, background): “Recently, it has come to our attention that the authors of [14] also suggest using a lower power radio in order to wakeup powered-down sensor nodes.”
Prediction-based strategies for energy saving in object tracking sensor networks (2004, methodology): “Low-power paging channel, employed in this paper as part of the OTSN communication protocols, is widely discussed in [15, 16, 25].”
Avoiding Energy Holes in Wireless Sensor Networks with Nonuniform Node Distribution (2008, background): “It has been observed that communication-related energy dissipation usually dominates the total energy consumption in WSNs [20], [ 27 ].”
A 180-mV subthreshold FFT processor using a minimum energy design methodology (2005, background): “Networked microsensors enable a variety of new applications such as warehouse inventory tracking, location sensing, machine-mounted sensing, patient monitoring, and building climate control [2]‐[ 5 ].”
Robust Positioning Algorithms for Distributed Ad-Hoc Wireless Sensor Networks (2002, neutral): “Examples of such services include smart environments, various entertainment applications, and other possibilities in automation and robotics [14].”
Experimental Verification of Models for Microfabricated Piezoelectric Vibration Energy Harvesters (2007, background): “The power requirement for these node networks has been driven down and power consumption of tens to hundreds of W per node is predicted [2,4–6].”
Using Predictable Observer Mobility for Power Efficient Design of Sensor Networks (2003, background): “Reducing power consumption in sensing and subsequent data collection has been a topic of extensive study [1– 5]. It has also been observed that communication power (which includes channel monitoring) is usually a significant component of the total power consumed in a sensor network [1, 6 ].”