TAG: a tiny aggregation service for ad-hoc sensor networks. We present the Tiny AGgregation (TAG) service for aggregation in low-power, distributed, wireless environments. TAG allows users to express simple, declarative queries and have them distributed and executed efficiently in networks of low-power, wireless sensors. We discuss various generic properties of aggregates, and show how those properties affect the performance of our in network approach. We include a performance study demonstrating the advantages of our approach over traditional centralized, out-of-network methods, and discuss a variety of optimizations for improving the performance and fault tolerance of the basic solution.

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  1. Audrito, Giorgio; Beal, Jacob; Damiani, Ferruccio; Pianini, Danilo; Viroli, Mirko: Field-based coordination with the share operator (2020)
  2. Viroli, Mirko; Beal, Jacob; Damiani, Ferruccio; Audrito, Giorgio; Casadei, Roberto; Pianini, Danilo: From distributed coordination to field calculus and aggregate computing (2019)
  3. Almeida, Paulo Sérgio; Baquero, Carlos; Farach-Colton, Martín; Jesus, Paulo; Mosteiro, Miguel A.: Fault-tolerant aggregation: flow-updating meets mass-distribution (2017)
  4. Anisi, Mohammad Hossein; Abdullah, Abdul Hanan: Efficient data reporting in intelligent transportation systems (2016)
  5. Grining, Krzysztof; Klonowski, Marek; Syga, Piotr: Practical fault-tolerant data aggregation (2016)
  6. López, Hugo A.; Nielson, Flemming; Nielson, Hanne Riis: Enforcing availability in failure-aware communicating systems (2016)
  7. Zhao, Yuda; Yu, Haifeng; Chen, Binbin: Near-optimal communication-time tradeoff in fault-tolerant computation of aggregate functions (2016)
  8. Appice, Annalisa; Ciampi, Anna; Malerba, Donato: Summarizing numeric spatial data streams by trend cluster discovery (2015)
  9. Min, Jun-Ki; Ng, Raymond T.; Shim, Kyuseok: Aggregate query processing in the presence of duplicates in wireless sensor networks (2015)
  10. Chen, Binbin; Yu, Haifeng; Zhao, Yuda; Gibbons, Phillip B.: The cost of fault tolerance in multi-party communication complexity (2014)
  11. Eyal, Ittay; Keidar, Idit; Rom, Raphael: LiMoSense: live monitoring in dynamic sensor networks (2014)
  12. Jhumka, Arshad; Bradbury, Matthew; Saginbekov, Sain: Efficient fault-tolerant collision-free data aggregation scheduling for wireless sensor networks (2014)
  13. Xie, Lei; Lu, Sanglu; Cao, Yingchun; Chen, Daoxu: Towards energy-efficient storage placement in large scale sensor networks (2014)
  14. Baldoni, Roberto; Bonomi, Silvia; Cerocchi, Adriano; Querzoni, Leonardo: Virtual tree: a robust architecture for interval valid queries in dynamic distributed systems (2013) ioport
  15. Lasheng, Yu; Jie, Li; Renjie, Liu: An effective data collection algorithm for wireless sensor network (2013) ioport
  16. Banerjee, Siddhartha; Gupta, Piyush; Shakkottai, Sanjay: Towards a queueing-based framework for in-network function computation (2012)
  17. Choi, Young-ri; Gouda, Mohamed G.: A state-based model of sensor protocols (2012)
  18. Fok, Chien-Liang; Roman, Gruia-Catalin; Lu, Chenyang: Servilla: A flexible service provisioning middleware for heterogeneous sensor networks (2012) ioport
  19. Gao, Jie; Guibas, Leonidas: Geometric algorithms for sensor networks (2012)
  20. Jabeen, Farhana; Fernandes, Alvaro A. A.: An algorithmic strategy for in-network distributed spatial analysis in wireless sensor networks (2012) ioport

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