Aggregation in sensor networks: an energy-accuracy trade-off

By Athanassios Boulis, Saurabh Ganeriwal, Mani B. Srivastava. Proceedings of the First IEEE International Workshop on Sensor Network Protocols and Applications, 2003., 2003

350 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/87de33e7f72440b206d45f0ae7b4780cb97c2884

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

1. Antonio Alfredo Ferreira Loureiro
2. Eduardo Freire Nakamura
3. Joao Girão
4. Dirk Westhoff
5. Alejandro Cesar Orgambide Frery
6. Pramod K. Varshney
7. Mithun P. Acharya
8. Ramesh Rajagopalan

In Electrical and Electronic Engineering

1. Joao Girão
2. Dirk Westhoff
3. Alejandro Cesar Orgambide Frery
4. Antonio Alfredo Ferreira Loureiro
5. Pramod K. Varshney
6. Mithun P. Acharya
7. Ramesh Rajagopalan
8. Eduardo Freire Nakamura

Citations in the corpus

• Data-aggregation techniques in sensor networks: a survey (2006, methodology): “5.2 Energy, accuracy, and latency tradeoffs Boulis et al. [ 25 ] have studied the energyaccuracy tradeoffs for periodic data aggregation problems in sensor networks.”
• Information fusion for wireless sensor networks: Methods, models, and classifications (2007, methodology): “Among other things, the global process can be used to: (i) specify an aggregation algorithm [Madden et al. 2002; Boulis et al. 2003a; Hellerstein et al.”
• Concealed Data Aggregation for Reverse Multicast Traffic in Sensor Networks: Encryption, Key Distribution, and Routing Adaptation (2006, methodology): “[6] and SIA [35] from Przydatek et al.”