An Efficient Data Collection Technique in Wireless Sensor Networks
نویسنده
چکیده
The Wireless Sensor Network can be divided in to two parts: one that contains the colossal amount of sensor nodes and the other which includes the network formed by those sensor nodes. The sensor nodes are equipped with limited resources. Consequently, WSNs face the problems like partitioned WSNs due to which sensed data gets discarded by the base station, data inconsistency problem, and energy inefficiency. A mobile robot is needed to be used that can detect the partitioned WSNs and can effectively collect the sensed data from the sensor nodes. Our main aim is to minimize the travelling distance of the mobile robots. So that sensed data can be fetched effectively and with minimum time. We also propose and implement an approach named pattern variation discovery to detect the irregularities exist in the data collected by the sensor nodes in wireless sensor networks.
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