A Review of Aggregation Algorithms for the Internet of Things
| Autor: | Firas Al-Doghman, Jianming Jiang, Zenon Chaczko |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Computer science
business.industry Reliability (computer networking) Big data 020206 networking & telecommunications Fault tolerance 02 engineering and technology Data aggregator Statistical classification Node (computer science) 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Algorithm design business Algorithm Edge computing |
| Zdroj: | ICSEng |
| Popis: | © 2017 IEEE. The Internet of Things (IoT) epitomizes the upcoming eminent transition in the world’s economy and human lifestyle where people and various objects are correlated within networks. Data Aggregation is a technique which can be used to mitigate Big Data challenges within IoT. This paper provides an overview of various approaches for aggregation of data in IoT infrastructure. A new class of reliable Data Aggregation algorithm is discussed as well. This new class of algorithm uses a consensus based aggregation with fault tolerance methodology in Fog Computing. The new approach allows promoting adaptive behavior and more efficient delivery of the aggregation outcomes to the ascendant node(s). The proposed method is fault tolerant and deals with nodes reliability issues. |
| Databáze: | OpenAIRE |
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