Impact of network density on data aggregation in wireless sensor networks

By Chalermek Intanagonwiwat, Deborah Estrin, Ramesh Govindan, John S. Heidemann. Proceedings 22nd International Conference on Distributed Computing Systems, 2002

823 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/e42ac06446ed4fe2db7037ba47c168fbeca254d7

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Citations in the corpus

Proceedings of the 5th Symposium on Operating Systems Design and Implementation Tag: a Tiny Aggregation Service for Ad-hoc Sensor Networks (positive): “We omit some details of this approach due to space constraints – a number routing protocols suitable for this purpose have been proposed; the reader is referred to [32] [13] [12] [14] [1] for more information.”
Maté: a tiny virtual machine for sensor networks (2002, background): “Intel Corporation Berkeley, California Traditionally, virtual machines have focused on virtual-izing real hardware [3][5], intermediate program represen- tation [4], or bytecode interpretation [20].”
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].”
The nesC language: A holistic approach to networked embedded systems (2003, background): “Although very resource constrained, motes must be very reactive and participate in complex distributed algorithms, such as data aggregation [19, 29] or spatial localization [50].”
Differentiated surveillance for sensor networks (2003, methodology): “Finally, data aggregation techniques inside the network and application layers also provide energy conservation features in both application independent [9] and application dependent fashion [15][16].”
SDN-WISE: Design, prototyping and experimentation of a stateful SDN solution for WIreless SEnsor networks (2015, background): “In order to be energy efficient, SDN-WISE supports duty cycle [13], that is the possibility to periodically turn off the radio interface of a sensor node, and data aggregation [14].”
Randomized gossip algorithms (2006, neutral): “For an extensive body of related work, see [11], [16], [17], [20], [23], [25], [26], [29], [34], [42], [44], [46].”
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.”
MUSTER: Adaptive Energy-Aware Multisink Routing in Wireless Sensor Networks (2011, background): “, A and B) can be combined only very late along their path to the sinks [27].”
Secure aggregation for wireless networks (2003, methodology): “We propose a more scalable variation on our protocol in Section 7.”
Secure hierarchical in-network aggregation in sensor networks (2006, background): “The energy savings of performing in-network aggregation have been shown to be significant and are crucial for energy-constrained sensor networks [9, 11, 20].”
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 efficiency of the network [3], [4].”
PDA: Privacy-Preserving Data Aggregation in Wireless Sensor Networks (2007, background): “There has been extensive work on data aggregation schemes in sensor networks, including [4], [5], [6], [7], [8], [9].”
Materials that couple sensing, actuation, computation, and communication (2015, background): “communication speed is also highly dependent on the network topology (75) and node density (76), which leads to important design considerations in robotic materials, as density and topology affect not only the computational properties of the system, but also its structural properties.”