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In wireless sensor networks, sensor nodes are often deployed intensively within the sensing area in order to achieve effective monitoring, resulting in a high degree of correlation between them. There is a certain variation rule between node acquisition data and time. The current time correlation will result in an abundance of redundant data within the sensing area, so eliminating data redundancy...
When using multiple sensor nodes in wireless sensor networks (WSNs) for monitoring (measuring) parameters of the target and sending the result to the base station (BS), data redundancy is an inevitable problem. The measured data often contains the same information, and sending redundant data to BS causes the waste of energy of sensor nodes and the risk of congestion. Multi-sensor data fusion in WSNs...
Data fusion is one of the subsystems in data aggregation that aims to conserve power consumption by reducing the size of the transmitted data. The purpose of this paper is to present a simple data fusion mechanism called local data differentiation (LDD) for actual implementation in micro-controlled sensor nodes. LDD requires the end node to calculate the average value of an initially sampled data...
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