In-network aggregation techniques for wireless sensor networks: a survey
By Elena Fasolo, Michele Rossi, J. Widmer, Michele Zorzi. IEEE wireless communications, 2007
888 citations recorded by the source corpus.
Subfields: Computer Networks and Communications
View Paper: https://www.semanticscholar.org/paper/f0ef8d0946614c050352593deae0041704a0b64b
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In Computer Networks and Communications
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Citations in the corpus
- Energy conservation in wireless sensor networks: A survey (2009, background): “The interested reader can refer to [39] for a comprehensive and up-to-date survey about in-network processing techniques.”
- Energy efficiency in wireless sensor networks: A top-down survey (2014, methodology): “Data aggregation techniques dedicated to wireless sensor networks are surveyed in detail by Rajagopalan and Varshney in [3] and by Fasolo et al. in [83].”
- Enhancing Real-Time Delivery of Gradient Routing for Industrial Wireless Sensor Networks (2012, methodology): “The tiny aggregation approach [2] is based on aggregation trees and designed for monitoring applications, which, however, is inefficient for dynamic topologies or link/device failures [3].”
- Resource Management in Fog/Edge Computing (2018, background): “all data generated from sensors to a centralized server, but instead need to make use of intermediate nodes along the data path that aggregate data. This is referred to as in-network data aggregation [10]. We consider WSNs to be predecessors of modern edge computing systems. Existing research in the”
- A Survey on Clustering Routing Protocols in Wireless Sensor Networks (2012, background): “Thus, this scheme is unsuitable for those networks with a time varying topology [71]; (2) It is assumed that each sensor node can be able to communicate with the sink directly, but nodes usually use multi-hop communications with the sink in practical cases.”
- The Progressive Smart Grid System from Both Power and Communications Aspects (2012, background): “[84], data aggregation and clustering [85]–[87], coverage and connectivity [88], [89], multimedia [90], [91], QoS [92], as”