Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks

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

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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].”
Over-the-air Function Computation in Sensor Networks (2016, background): “In many sensor applications, there is interest only in sum-mary properties of the data –such as average, sum, maximum, minimum, etc. – and there is no need for continuously collecting all sensor values [13, 17, 12, 18].”
GPS free coordinate assignment and routing in wireless sensor networks (2005, background): “However, in the effort of improving the management of data streams produced by sensor networks, it has recently been proposed to integrate database and sensor network technologies [6], [7], and the concept of data-centric storage has been introduced in [8].”
Congestion control and fairness for many-to-one routing in sensor networks (2004, methodology): “The idea for determining the size of a subtree is obtained from the in-network aggregation of data as given in [2].”
Opportunistic Flooding in Low-Duty-Cycle Wireless Sensor Networks with Unreliable Links (2009, background): “Typically, the energy used in communication can be optimized through (i) physical-layer transmission rate scaling [39]; (ii) linklayer optimization for better connectivity, reliability, and stability [3,31,40]; (iii) network-layer enhancement for better forwarders and routes [5, 12, 43]; and (iv) ap”
Recent and Emerging Topics in Wireless Industrial Communications: A Selection (2008, background): “This reduces the amount of bits to be transmitted and thus saves transceiver energy [82], [83], on the other hand the aggregated data is more important and needs better (more energy-consuming) protection through error-control mechanisms [84].”
Localized algorithm for aggregate fairness in wireless sensor networks (2006, background): “Although some applications may only query aggregate information such as the max/min/mean/ medium/avg of certain measurements [5, 6], other applications are interested in macroscopic imaging of certain features of the monitored field, which carries much more information than simple aggregation.”
TinySec: a link layer security architecture for wireless sensor networks (2004, unknown): “To prune these redundant messages to reduce traffic and save energy, sensor networks use innetwork processing such as aggregation and duplicate elimination [29, 30].”
Understanding packet delivery performance in dense wireless sensor networks (2003, unknown): “Such asymmetric links are well-known for their impact on routing [18] and network aggregation [11, 14, 26].”
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.”
Accurate prediction of power consumption in sensor networks (2005, background): “Most implementations [10, 1, 22, 14] count the number of packets sent and use this information as the only source to qualitatively estimate energy consumption.”
Cognitive radio sensor networks (2009, background): “On the other hand, there is a significant amount of research in the literature on data aggregation and fusion techniques for WSN [49], [50], [51], [52], [53].”