System architecture directions for networked sensors

By Jason L. Hill, Robert Szewczyk, Alec Woo, S. Hollar, David E. Culler, Kristofer S. J. Pister. SIGP, 2000

3,919 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Hardware and Architecture

View Paper: https://www.semanticscholar.org/paper/b49163cf096494457393eb1223e7bb510002b38a

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. David E. Culler
2. Deborah Estrin
3. J. Stankovic
4. Bhaskar Krishnamachari
5. Ramesh Govindan
6. Tian He
7. Mani B. Srivastava
8. John S. Heidemann

In Hardware and Architecture

1. David E. Culler
2. Matt Welsh
3. Peng Ning
4. Deborah Estrin
5. Dragos Stefan Niculescu
6. B. Nath
7. John S. Heidemann
8. Ramesh Govindan

Citations in the corpus

• The Personal Server: Changing the Way We Think about Ubiquitous Computing (2002, background): “The system also provides a direct connection to emerging sensor networks [5] or wearable systems.”
• Wireless Multimedia Sensor Networks: Applications and Testbeds (2008, methodology): “The software architecture is based on an ARM port of TinyOS [ 23 ].”
• Avrora: scalable sensor network simulation with precise timing (2005, methodology): “[4] L. F. Perrone and D. Nicol, A scalable simulator for TinyOS applica­tions, in Proceedings of WSC 02, Winter Simulation Conference, 2002.”
• Real-time communication and coordination in embedded sensor networks (2003, background): “Recent studies have shown that radio communication is the dominant consumer of energy in sensor networks [65].”
• Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks (2003, methodology): “The importance of optimizing communication energy is supported by measurements from prototypes of sensor network devices such as MICA2 [7] and their predecessors [13].”
• Radio interferometric geolocation (2005, methodology): “We have used the MICA2 mote platform with the TinyOS operating system [16, 17] for our prototype implementation.”
• Robomote: enabling mobility in sensor networks (2005, methodology): “Keeping the above issues in mind, the robomote is designed to be compatible with the popular mote/tinyos platform ([15], [16]).”
• Evolution of wireless sensor networks towards the Internet of Things: A survey (2011, background): “Although CoAP is work in progress, several open source implementations are already available, including two wellknown operating systems for WSNs, Contiki [18] and Tiny OS [19].”
• Localization of wireless sensor networks with a mobile beacon (2004, background): “However, computing(x̂, ŷ) on the sensor node itself is entirely possible even on sensor nodes similar to the Berkeley motes [35].”
• Energy-efficient computing for wildlife tracking: design tradeoffs and early experiences with ZebraNet (2002, neutral): “workedDevices project [13].”
• The design of an acquisitional query processor for sensor networks (2003, background): “…Design of an Acquisitional Query Processor For Sensor Networks * Samuel Madden, Michael J. Franklin, and Joseph M. Hellerstein Wei Hong {madden,franklin,jmh}@cs.berkeley.edu wei.hong@intel-research.net UC Berkeley Intel Research, Berkeley ABSTRACT We discuss the design of an acquisitional query…”
• A survey on routing protocols in Wireless Sensor Networks (2012, background): “A wireless sensor network (WSN) is a network consist various spatially circulated devices which uses sensors to supervise the environment at different locations, such as temperature, sound, vibration, pressure, motion or pollutants [1-3].”
• Ultra-low duty cycle MAC with scheduled channel polling (2006, methodology): “B-MAC [17] implemented LPL in TinyOS with a well-de.ned interface for applications to per­form .ne-grained control over the MAC.”