It is especially useful for sensor networks that
collect statistical data, such as sum, count, average, max/min...etc. Some approaches
have also been proposed to approximate the sensing data that can not be simply obtained
by one aggregated message, such as the median and histogram [15]. Image
processing that compresses pictures or video streams is another form of aggregation
that is different from the aggregation paradigms described above.
Chapter 13 Data Aggregation in Wireless Sensor Networks 347
Therefore, data aggregation is highly application dependent. Different applications
require different aggregation approaches if the aggregation properties are different.
The challenge of designing a data aggregation protocol is to find a suitable
data reduction technique, and to design the in-network aggregation approach based
on the characters of that technique. Once the data aggregation mechanism is deployed,
the energy consumption will be reduced and the network lifetime can be
extended.
References
1.
56-67.
2.
Conference on System Sciences, 2000).
3.
Wireless Communications, Vol. 1, No. 4, 2002) pp 660-670.
4.
COMM 96) pp 219-230
5.
tion Systems, (IEEE Aerospace Conference 2002), pp 1-6.
6.
Review 2002) pp 131-146.
7.
8.
Volume 3 , Issue 5, Sept. 2004) pp 1689-1701.
9.
Tracking in Sensor Networks, (INFOCOM 2004)
10. Gerard Tel, Introduction to Distributed Algorithm, (Cambridge Univ. Press, 2000)
11.
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