Efficient and Adaptive Data Aggregation for Wireless Sensor Network
Abstract
Sensor networks are event-based systems that diff er
from traditional communication networks in several ways: sensor networks have severe energy constraints, redundant low-rate data,
and many-to-one flows. The problem of energy-efficient reliable
wireless communication in the presence of unreliable or lossy
wireless link layers in multi-hop wireless networks has been a
serious issue. In this paper, A novel approach for data gathering in
wireless sensor networks is proposed which involves data fusion with broken Links. The number of transmissions by the sensor node is limited by approximating the sensor data at the sink using prediction
Approach with buffered datasets. By adaptively using redundant
transmission on fusion routes without acknowledgments, packets
with more information are delivered with higher reliability. The
proposed method is effective and greatly reduces the number of
transmissions to the sink node which considered the compromised
nodes data forwarding. That optimally solves the minimum energy
reliable communication problem in presence of unreliable links.
Keywords
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