Kristofer S. J. Pister

ORCID: 0000-0002-8108-2102
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About
Contact & Profiles
Research Areas
  • Advanced MEMS and NEMS Technologies
  • Energy Efficient Wireless Sensor Networks
  • Modular Robots and Swarm Intelligence
  • Photonic and Optical Devices
  • Semiconductor Lasers and Optical Devices
  • Energy Harvesting in Wireless Networks
  • Radio Frequency Integrated Circuit Design
  • Wireless Body Area Networks
  • Advanced Sensor and Energy Harvesting Materials
  • Network Time Synchronization Technologies
  • Mechanical and Optical Resonators
  • Micro and Nano Robotics
  • Indoor and Outdoor Localization Technologies
  • Innovative Energy Harvesting Technologies
  • Advancements in PLL and VCO Technologies
  • Force Microscopy Techniques and Applications
  • Structural Health Monitoring Techniques
  • Acoustic Wave Resonator Technologies
  • Composite Structure Analysis and Optimization
  • Neuroscience and Neural Engineering
  • Wireless Networks and Protocols
  • Seismic Performance and Analysis
  • Electrowetting and Microfluidic Technologies
  • Robotics and Sensor-Based Localization
  • Sensor Technology and Measurement Systems

University of California, Berkeley
2016-2025

Berkeley College
2010-2024

Sensors (United States)
1998-2023

Berkeley Geochronology Center
2003-2021

Fordham University
2019

Missouri University of Science and Technology
2019

Universitat Politècnica de Catalunya
2019

FC Barcelona
2019

University of California, Los Angeles
1994-2019

Intel (United States)
2019

Technological progress in integrated, low-power, CMOS communication devices and sensors makes a rich design space of networked viable. They can be deeply embedded the physical world spread throughout our environment like smart dust. The missing elements are an overall system architecture methodology for systematic advance. To this end, we identify key requirements, develop small device that is representative class, tiny event-driven operating system, show it provides support efficient...

10.1145/356989.356998 article EN ACM SIGPLAN Notices 2000-11-01

Article Next century challenges: mobile networking for "Smart Dust" Share on Authors: J. M. Kahn Department of Electrical Engineering and Computer Sciences, University California, Berkeley BerkeleyView Profile , R. H. Katz K. S. Pister Authors Info & Claims MobiCom '99: Proceedings the 5th annual ACM/IEEE international conference Mobile computing networkingAugust 1999 Pages 271–278https://doi.org/10.1145/313451.313558Online:01 August 1999Publication History...

10.1145/313451.313558 article EN 1999-08-01

A method for estimating unknown node positions in a sensor network based exclusively on connectivity-induced constraints is described. Known peer-to-peer communication the modeled as set of geometric positions. The global solution feasibility problem these yields estimates nodes network. Providing that are tight enough, simulation illustrates this estimate becomes close to actual Additionally, placing rectangular bounds around possible all given. area bounding rectangles decreases additional...

10.1109/infcom.2001.916662 article EN 2002-11-13

This article addresses the challenges and opportunities of instrumenting physical world with pervasive networks sensor-rich, embedded computation. The authors present a taxonomy emerging systems outline enabling technological developments.

10.1109/mprv.2002.993145 article EN IEEE Pervasive Computing 2002-01-01

The Smart Dust project is probing microfabrication technology's limitations to determine whether an autonomous sensing, computing, and communication system can be packed into a cubic millimeter mote (a small particle or speck) form the basis of integrated, massively distributed sensor networks. Although we've chosen somewhat arbitrary size for our systems, exploring fundamental goal. Because its discrete size, substantial functionality, connectivity, anticipated low cost, will facilitate...

10.1109/2.895117 article EN Computer 2001-01-01

10.1016/0045-7825(84)90062-8 article EN Computer Methods in Applied Mechanics and Engineering 1984-10-01

10.2514/8.9668 article EN Journal of the aerospace sciences/Journal of the aero/space sciences 1962-08-01

ABSTRACT The OpenWSN project is an open‐source implementation of a fully standards‐based protocol stack for capillary networks, rooted in the new IEEE802.15.4e Time Synchronized Channel Hopping standard. IEEE802.15.4e, coupled with Internet Things standards, such as 6LoWPAN, RPL and CoAP, enables ultra‐low‐power highly reliable mesh which are integrated into Internet. resulting will be cornerstone to upcoming machine‐to‐machine revolution. This article gives overview stack, well key...

10.1002/ett.2558 article EN Transactions on Emerging Telecommunications Technologies 2012-08-01

The miniaturization of integrated fluidic processors affords extensive benefits for chemical and biological fields, yet traditional, monolithic methods microfabrication present numerous obstacles the scaling operators. Recently, researchers have investigated use additive manufacturing or "three-dimensional (3D) printing" technologies - predominantly stereolithography as a promising alternative construction submillimeter-scale components. One challenge, however, is that current lack ability...

10.1039/c5lc01389e article EN Lab on a Chip 2015-12-18

Large-scale networks of wireless sensors are becoming increasingly tractable. Advances in hardware technology and engineering design have led to dramatic reductions size, power consumption cost for digital circuitry, communications Micro ElectroMechanical Systems (MEMS). This has enabled very compact, autonomous mobile nodes, each containing one or more sensors, computation communication capabilities, a supply. The missing ingredient is the networking applications layers needed harness this...

10.1109/jcn.2000.6596708 article EN Journal of Communications and Networks 2000-09-01

Advances in low power VLSI design, along with the potentially duty cycle of wireless sensor nodes open up possibility powering small computing devices from scavenged ambient power. Low level vibrations occurring typical household, office, and manufacturing environments are considered as a possible source for nodes. This work focuses on design electrostatic vibration-to-electricity converters using MEMS fabrications technology. Detailed models three different concepts developed. The evaluated...

10.1115/imece2002-39309 article EN 2002-01-01

A low-energy successive approximation analog-to-digital converter (ADC) targeted for use in distributed sensor networks is presented. The individual nodes combine sensing, computation, communications, and power into a tiny volume. Energy extremely limited, forcing the to operate with very low duty cycles. This paper describes design implementation of an ADC meet unique requirements networks. reported here consumes 31 pJ/8-bit sample at 1-V supply 100 kS/s, standby consumption 70 pW. energy...

10.1109/jssc.2003.813296 article EN IEEE Journal of Solid-State Circuits 2003-07-01

10.1016/0924-4247(92)80172-y article EN Sensors and Actuators A Physical 1992-06-01

An ultra low power 2.4-GHz transceiver targeting wireless sensor network applications is presented. The receiver front-end fully passive, utilizing an integrated resonant matching to achieve voltage gain and interface directly a passive mixer. achieves 7-dB noise figure -7.5-dBm IIP3 while consuming 330 muW from 400-mV supply. binary FSK transmitter delivers 300 balanced 50-Omega load with 30% overall efficiency 45% amplifier (PA) efficiency. Performance of the topology analyzed simple...

10.1109/jssc.2006.884801 article EN IEEE Journal of Solid-State Circuits 2006-11-22

Technological progress in integrated, low-power, CMOS communication devices and sensors makes a rich design space of networked viable. They can be deeply embedded the physical world spread throughout our environment like smart dust. The missing elements are an overall system architecture methodology for systematic advance. To this end, we identify key requirements, develop small device that is representative class, tiny event-driven operating system, show it provides support efficient...

10.1145/384264.379006 article EN ACM SIGOPS Operating Systems Review 2000-11-12

Wireless sensor networks (WSNs) face the challenge of ensuring end-to-end communication while operating over individually unreliable wireless links. This paper addresses channel hopping, a class frequency diverse protocols in which subsequent packets are sent different channels. Channel hopping combats external interference and persistent multipath fading, two main causes failure along link.

10.1145/1641876.1641898 article EN 2009-10-28

A 16 mm/sup 3/ autonomous solar-powered sensor node with bidirectional optical communication for distributed networks has been demonstrated. The device digitizes integrated signals and transmits/receives data over a free-space link. system consists of three die - 0.25 /spl mu/m CMOS ASIC, 2.6 2/ SOI solar cell array, micromachined four-quadrant corner-cube retroreflector (CCR), allowing it to be used in one-to-many network configuration. ASIC includes photosensor 3 MHz oscillator, 69 pJ/bit...

10.1109/icsens.2002.1037346 article EN 2003-06-25

Wireless sensor nodes are autonomous devices incorporating sensing, power, computation, and communication into one system. Applications for large scale networks of these presented in the context their impact on hardware design. The demand low unit cost multiyear lifetimes, combined with progress CMOS MEMS processing, driving development SoC solutions at cubic centimeter a minimum number off-chip components. Here, feasibility complete, millimeter scale, single-chip node is explored by...

10.1109/jproc.2006.873620 article EN Proceedings of the IEEE 2006-06-01

Time slotted channel hopping (TSCH) is the highly reliable and ultra-low power medium access control technology at heart of IEEE802.15.4e-2012 amendment to IEEE802.15.4-2011 standard. TSCH networks are deterministic in nature; actions that occur each time slot well known. This paper presents an energy consumption model these networks, obtained by slot-based "step-by-step" modeling experimental validation on real devices running OpenWSN protocol stack. applied different network scenarios...

10.1109/jsen.2013.2285411 article EN IEEE Sensors Journal 2013-10-11
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