3. Introduction:
Large number of sensor node devices spread over a large field.
Wireless sensing + Data Networking.
4. Introduction:
Low power devices
Consists of- one or more sensors, a processor, memory, a power supply.
Formed by hundreds or thousands of nodes.
5. Data aggregation:
In wireless sensor network the numbers of sensors are
very large.
the processing of data will need the battery
consumption gets increased
The solution is the minimizing the data. Here the data
minimization will do by the data aggregation.
The main goal of data aggregation algorithms is to
gather and aggregate data in an energy efficient
manner so that network lifetime is enhanced.
7. Security Issues:
Limited Resources
– All security approaches require a certain amount
of resources for the implementation.
– Resources are very limited in a tiny wireless
sensor.
Limited Memory
– Sensor is a small in size so that the storage
capacity of data is also small.
– In wireless sensor devices have the limited
memory.
8. Security Issues:
Power consumption
– In sensor network sensing is the higher priority
task.
– This process always in execution so that there is
a need of high performance battery.
Unreliable transfer
– Wireless sensor network uses the the
connectionless routing.
– The possibility of channel error rate may
increase.
9. Process Management
– A military example is the use of sensors detect
enemy intrusion.
Health care monitoring
– Body-area networks can collect information about
an individual's health, fitness.
Environmental/Earth sensing
– Air pollution monitoring
– Water quality monitoring
ApplicationsApplications:
10. Future scope:
Everything on Internet
Everybody on Internet
Technology to
– interconnect individual smart devices
– Enable access to information about the real world
12. Conclusion
The sensor network uses the huge number of sensor
devices. Due to sensing device each node need to process
the data.
When there is a processing then energy loss will happen.
To reduce the energy loss data aggregation can apply.
