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What is Data aggregation

Handbook of Research on Advanced Wireless Sensor Network Applications, Protocols, and Architectures
Data aggregation is defined as the process of removing the duplicate data packets by combining the received and sensed data by a node. The data aggregation has been done by the nodes which are intermediate to source and sink/base station.
Published in Chapter:
Routing Protocols in Wireless Sensor Networks
Nagesh Kumar (Jaypee University of Information Technology, India) and Yashwant Singh (Jaypee University of Information Technology, India)
DOI: 10.4018/978-1-5225-0486-3.ch004
Abstract
In Wireless Sensor Network (WSN), the routing protocols have been given attention because most of the routing protocols are application and architecture dependent. This chapter presents routing protocols for wireless sensor networks and also classifies routing in WSN. Chapter gives five main classifications of routing protocols in WSN which are data-centric, hierarchical, location-based, network flow and QoS aware and opportunistic routing protocols. The focus has been given on advancement of routing in WSN in form of opportunistic routing, in which the sensor nodes utilize broadcasting nature of wireless links and the data packets can be transmitted through different paths. The routing protocols for WSN are described and discussed under the appropriate classification. A table of comparison of routing protocols on the basis of power usage, data aggregation, scalability, query basis, overhead, data delivery model and QoS parameters has been presented.
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More Results
Big Data and Its Role in Facilitating the Visualization of Financial Analytics
Data Aggregation is any process in which information is gathered and expressed in a summary form for purposes such as statistical analysis. A common aggregation purpose is to get more information about particular groups based on specific variables such as Age, Profession or Income.
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Pervasive and Ubiquitous Computing Databases: Critical Issues and Challenges
Data aggregation is the process in which information is gathered and expressed in a summary form. In case the aggregation operator is decomposable partial aggregation schemes may be employed in which intermediate results are produced that contain sufficient information to compute the final results. If the aggregation operator is non-decomposable then partial aggregation schemes can still be useful to provide approximate summaries.
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Security in Wireless Sensor Networks
Process of reducing large amounts of sensor generated data to smaller and more representative data sets that synthesize the state of the phenomena that the network is monitoring.
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Post-Deployment Energy-Efficient Schemes in Wireless Sensor Networks: A Study on Three Well-Known Energy-Efficient Approaches
Sensor nodes are deployed in large numbers for better connectivity and coverage. Data aggregation eliminates redundant data transmission by aggregating the data of nearby sensors.
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Graph Intersection-Based Benchmarking Algorithm for Maximum Stability Data Gathering Trees in Wireless Mobile Sensor Networks
The process of combining data from multiple sensor nodes and generating a representative data of the same size as the data from the individual sensor nodes.
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A Survey on Routing Protocols of Wireless Sensor Networks: A Reliable Data Transfer Using Multiple Sink for Disaster Management
Data aggregation is an actual way of avoiding redundant data transmission and it also minimizes the number of transmissions. In WSN, CH performs data aggregation on all the received data from cluster members and forwards the aggregated information to Base Station through single hop or multi-hop.
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Power Conservation Techniques in Wireless Sensor Networks
Techniques that are used in relay nodes to combines data from different sources together.
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Collaborative Sensor Networks: Taxonomy and Design Space
Data Aggregation is an operation that aggregates values from multiple (two or more) contributing data characteristics, such as taking the sum, average, max, or min of the data.
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Mining Mobility Data in Response to COVID-19
A process of collecting data from different data sources and organizing it in a unified format for data processing.
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