The impact of data aggregation in wireless sensor networks

By Bhaskar Krishnamachari, Deborah Estrin, Stephen B. Wicker. Proceedings 22nd International Conference on Distributed Computing Systems Workshops, 2002

1,676 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/9ffa39fe875fe7a0db7b530f4dedafe49ee58b46

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In Computer Networks and Communications

Citations in the corpus

Lessons from a Sensor Network Expedition (2004, background): “Many sensor network services are useful for habitat monitoring: localization [1], tracking [3,14,16], data aggregation [9,15,17], and, of course, energy efficient multihop routing [5,13,25].”
Algorithms and Protocols for Wireless Sensor Networks (2008, background): “[29] provide analytical bounds on the energy costs and savings that can be obtained with data aggregation using tree topologies.”
EECS: an energy efficient clustering scheme in wireless sensor networks (2005, background): “Data aggregation can eliminate the data redundancy and reduce the communication load [3].”
Preserving data integrity for smart grid data aggregation (2012, background): “less sensor networks [14]–[17], to efficiently aggregate smart metering data along a spanning tree.”
Environmental Wireless Sensor Networks (2010, neutral): “Data summarization and aggregation has been a growing area of focus within the sensor networks community [ 27 ], [28].”
An adaptive energy-efficient and low-latency MAC for data gathering in wireless sensor networks (2004, background): “For a sensor network application with multiple sources and one sink, the data delivery paths from sources to sink are in a tree structure, a data gathering tree [12].”
A minimum cost heterogeneous sensor network with a lifetime constraint (2005, methodology): “Data aggregation is used because it reduces the amount of data that is sent from the sensor nodes to the base station, and thereby improves energy ef£ciency of the network [2], [3].”
An Improved K-means Clustering Algorithm (2014, methodology): “(6) After classification, the new trajectories of clustering centers are calculated via weighted mean method as the representation of new clusters according to the raw value.”
Exploiting Virtual Coordinates for Improved Routing Performance in Sensor Networks (2011, background): “One of the major requirements in the domain of sensor networks is the need for network-centric operation [13], [14].”
An efficient clustering-based heuristic for data gathering and aggregation in sensor networks (2003, background): “Krishnamachari et 0-7803-7700-1/03/$17.00 (C) 2003 IEEE 1948 al [9] argue that this paradigm shifts the focus from address–centric approaches (finding routes between pairs of end nodes) to a more data–centric approach (finding routes from multiple sources to a destination that allows in–network…”
SDAP: a secure hop-by-Hop data aggregation protocol for sensor networks (2006, background): “Recently many data aggregation protocols [2, 3, 4, 5, 6, 7, 8] have been proposed to eliminate the data redundancy in senso r data of the network, hence reducing the communication cost and en ergy expenditure in data collection.”
Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “Examples of multihop communication with in-network aggregation include the Directed Diffusion family of algorithms [Intanagonwiwat et al. 2003; Heidemann et al. 2003] and tree-based routing algorithms [Sohrabi et al. 2000; Krishnamachari et al. 2002; Zhou and Krishnamachari 2003].”
Gossip algorithms: design, analysis and applications (2005, neutral): “For an extensive body of related work, see [KK02],[KKD01], [HHL88], [GvRB01], [ KEW02 ], [MFHH02], [vR00], [EGHK99], [IEGH02], [KSSV00b], [SMK+01], [RFH+01].”
Efficient algorithms for maximum lifetime data gathering and aggregation in wireless sensor networks (2003, methodology): “Data aggregation performs in-network fusion of data packets, coming from different sensors enroute to the base station, in an attempt to minimize the number and size of data transmissions and thus save sensor energies [8,10,12,14].”