Building efficient wireless sensor networks with low-level naming

By John S. Heidemann, Fabio Silva, Chalermek Intanagonwiwat, Ramesh Govindan, Deborah Estrin, Deepak Ganesan. Symposium on Operating Systems Principles, 2001

767 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/63db32b61fced36d8bc4e41c4c3596c9ae91430d

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In Computer Networks and Communications

Citations in the corpus

Impala: a middleware system for managing autonomic, parallel sensor systems (2003, background): “Therefore, studies on sensor network operating systems such as TinyOS [7], Micro Amps [19], and Magnet OS [1], and studies on sensor network architectures such as the Smart Dust [11], Pico Radio [13], WINS [17] and SCAADS [6] projects provide us with design paradigms of system architecture and progr”
Localization systems for wireless sensor networks (2007, background): “Nodes Addressing: This refers to the possibility of using the physical location of the nodes that have their unique identification in the network [20, 21].”
TinyOS: An Operating System for Sensor Networks (2005, background): “Sensor networks are a very active research space, with ongoing work on networking [22, 38, 83], application support [25, 27, 49], radio management [8, 84], and security [9, 45, 61, 81], as a partial list.”
A Remote Code Update Mechanism for Wireless Sensor Networks (2003, methodology): “Routing protocols like Directed Diffusion [11] (and its mote-only implementation, Tiny Diffusion) reduce the memory requirements by taking advantage of soft state.”
TOSSIM: accurate and scalable simulation of entire TinyOS applications (2003, background): “Additionally, sensor network systems are closely connected to the physical world; this adds noise, variation, and uncertainty to execution.”
Aggregation in sensor networks: an energy-accuracy trade-off (2003, background): “Efforts such as [4] and [9] seek to provide a framework for flexible aggregation in sensor networks.”
Modelling Data-Centric Routing in Wireless Sensor Networks (2002, methodology): “The benefits of application specific, in-network processing and data-aggregation are quantified through experimental results in [ 13 ].”
An energy-efficient MAC protocol for wireless sensor networks (2002, background): “In-network processing is critical to sensor network lifetime [5], [6].”
Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks (2003, background): “Data sources in sensor networks are usually locations where environmental activities of interest take place [6, 12, 8].”
Trickle: A Self-Regulating Algorithm for Code Propagation and Maintenance in Wireless Sensor Networks (Awarded Best Paper!) (2004, unknown): “Some sensor network applications, such as Tiny Diffusion [8], Maté [13], and TinyDB [18], use concise, high-level virtual code representations to reduce this cost.”
Handbook of Sensor Networks: Compact Wireless and Wired Sensing Systems (2004, methodology): “A naming scheme based on content or properties is more appropriate for NES than a fixed naming scheme [9].”
RMST: reliable data transport in sensor networks (2003, background): “Second, we have observed interactions between reliable and unreliable links, where the resultant selection of bad paths causes high loss (as observed previously [10]).”