What is data aggregation in sensor networks?

What is data aggregation in sensor networks?

In WSNs, data aggregation is a process of collecting and combining the useful information in a particular region of interest. The effectiveness of the communication among nodes depends on the data aggregation technique being used.

What is data aggregation strategy in wireless sensor networks?

Data aggregation is a process collection of data which is passing through sensor nodes with the help of each intermediate node and route towards the sink node by reducing the communication overhead in the WSN.

What is data aggregation in WSN and why it is required?

Data aggregation is the process of collecting and aggregating the useful data. In WSN data aggregation is an effective way to save the limited resources. The main goal of data aggregation algorithms is to gather and aggregate data in an energy efficient manner so that network lifetime is enhanced..

What is wireless sensor networks with example?

Wireless Sensor Networks (WSNs) can be defined as a self-configured and infrastructure-less wireless networks to monitor physical or environmental conditions, such as temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass their data through the network to a main location or sink where …

What is data aggregation technique?

Data aggregation attempts to collect the most critical data from the sensors and make it available to the sink in an energy efficient manner with minimum data latency. Data latency is important in many applications such as environment monitoring where the freshness of data is also an important factor.

What is centralized data aggregation algorithm?

Centralized Approach: In this approach each sensor node sends its sensed data to a central node (base station) via the shortest possible route. All the sensor nodes simply sends the data packets to a node, which is the powerful among all other nodes. This node is called aggregator node or header node.

What is aggregation in in network processing?

In-network aggregation is a mechanism for reducing the overall amount of power and bandwidth required to process the user’s query by allowing sensor readings to be aggregated by intermediate nodes.

What are different types of wireless sensor networks?

Types of Wireless Sensor Networks

• Terrestrial WSNs.
• Underground WSNs.
• Underwater WSNs.
• Multimedia WSNs.
• Mobile WSNs.

How wireless sensor networks using IoT explain?

An IoT (Internet of Things) Wireless Sensor Network (WSN) refers to a group of spatially dispersed and dedicated sensors for monitoring, and recording the physical conditions of the environment, and collectively pass on such data through a wireless network to a internet-based location.

Why is data aggregation important?

Data aggregation helps summarize data from different, disparate and multiple sources. It increases the value of information. The best data integration platforms can track the origin of the data and establish an audit trail. You can trace back to where the data was aggregated from.

What is an example of aggregate data?

Aggregate Data. Aggregate data is, as the name says, data available only in aggregate form. Typical examples are: Turnout for each canton in federal elections: Count (aggregated from individual voters) compared to the overall number of citizens having the right to vote.