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In wireless sensor networks (WSNs), due to dense deployment, sensory data gathered by sensor nodes in close proximity tend to exhibit high correlation and therefore redundant. Transmitting such redundant data is not practical in the energy-constrained WSNs. Data aggregation offers a key solution to reduce such redundancy by allowing intermediate nodes to aggregate raw data streams before routing them...
In Wireless Sensor Networks (WSNs), due to dense deployment, sensory data gathered by sensor nodes tend to exhibit high correlation and therefore redundant. Data aggregation offers a key solution to alleviate such redundancy and reduce transmission energy consumption. In this work, we propose two aggregation mechanisms based on Received Signal Strength Indicator (RSSI). Each node maintains an RSSI...
In Wireless Sensor Networks (WSNs), sensor nodes are often deployed in large quantity and high density. Due to dense deployment, the sensed data are often redundant and highly correlated. Transmitting redundant data is not practical in the resource-constrained WSNs particularly from the viewpoint of energy conservation. Data aggregation offers a key solution to curtail the network loads and hence...
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