Load Balancing In Probabilistic Wireless Sensor Network
By spreading the workload across a sensor network, load balancing reduces hot spots in the sensor network and
increases the energy lifetime of the sensor network. The data gathering process, data aggregation can be used to fuse data
from different sensors to eliminate redundant transmissions. Data aggregation is a very crucial technique in WSNs. Data
aggregation helps in reducing the energy consumption by eliminating redundancy. Currently, most of the existing works
focus on constructing DATs according to different user requirements under the Deterministic Network Model (DNM).due to
the existence of many probabilistic lossy links in WSNs so the current work which spend lots of efforts on aggregation, so
we mainly focus on DAT construction problem.
Keywords— Probabilistic wireless sensor network, Data Aggregation trees, Potential load, Maximal Independent Set(MIS).