TinyDB: an acquisitional query processing system for sensor networks

By Samuel Madden, M. Franklin, Joseph M Hellerstein, W. Hong. 2005

761 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Signal Processing

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

In Signal Processing

Citations in the corpus

Federated Multi-Task Learning (2017, background): “Computing SQL-like queries across distributed, low-powered nodes is a decades-long area of research that has been explored under the purview of query processing in sensor networks, computing at the edge, and fog computing [31, 11, 32, 7, 17, 14].”
Federated Learning: Challenges, Methods, and Future Directions (2019, background): “Indeed, computing simple queries across distributed, low-powered devices is a decades-long area of research that has been explored under the purview of query processing in sensor networks, computing at the edge, and fog computing [6], [30].”
Protothreads: simplifying event-driven programming of memory-constrained embedded systems (2006, methodology): “States, States, Transitions, Transitions, Lines of Lines of Reduction, Program before after before after code, before code, after percentage XNP 25 - 20 - 222 152 32% TinyDB 23 - 24 - 374 285 24% Mantis CC1000 driver 15 - 19 - 164 127 23% SOS CC1000 driver 26 9 32 14 413 348 16% Contiki TR1001 dr”
Flask (2008, methodology): “In this section, we describe FlaskDB , an implementation of the TinyDB (Madden et al. 2005) query system in Flask.”
Dozer: Ultra-Low Power Data Gathering in Sensor Networks (2007, background): “[20] and [10] coordinate the nodes’ sleep schedules such that neighboring nodes are awake at the same time.”
Middleware for Internet of Things: A Survey (2016, neutral): “However, a full analysis of the number of users is beyond the scope of this paper.”
Sonata: query-driven streaming network telemetry (2018, background): “Sensor networks have explored the query partitioning problems that are similar to those that Sonata faces [4, 27, 28, 32, 36, 46].”
PrivateClean: Data Cleaning and Differential Privacy (2016, neutral): “IntelWireless [29]: This dataset includes 2.3 million observations of sensor environment sensor measurements indexed by sensor id.”
Energy conservation in wireless sensor networks: A survey (2009, methodology): “The (backward) staggered scheme was first proposed in the framework of TinyDB [90] and TAG [89].”
City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, background): “Querying data from things is one of the common data fusion operations in the IoT domain [8, 24, 46, 80].”
Toward a theory of in-network computation in wireless sensor networks (2006, background): “Some of this functionality is part of applications that provide support for aggregate queries over sensor networks [1].”
Computational Intelligence in Wireless Sensor Networks: A Survey (2011, methodology): “The third group of sensor networks applications, database-like storage systems [16], are similar to event-based systems.”