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Lack of detailed land use (LU) information and of efficient data gathering methods have made modeling of urban systems difficult.
In a large-scale Wireless Sensor Networks (WSNs), designing of an energy efficient data gathering protocol has become a challenging research issues.
Many previous studies propose to use wake-up scheduling to support energy efficient data gathering in a wireless sensor network (WSN).
Motivated by the limitation of minimum fusion Steiner tree, they designed a novel routing algorithm, called adaptive fusion Steiner tree for energy efficient data gathering in multimedia sensor networks.
There exists a high demand for reliable, high capacity underwater acoustic networks to allow efficient data gathering and information exchange.
SFEB features both efficient data gathering and balanced energy consumption, which results from its two-phase aggregation process and the dynamic aggregator selection mechanism.
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The authors in [18] study energy-efficient data gathering in wireless sensor networks using VMIMO.
Many research activities have been carried out on the area of energy-efficient data gathering in WSN, since the basic task of the WSN is to effectively collect the data with lesser resource consumption.
Lindsey and Raghavendra [10] proposed power-efficient data gathering protocol for sensor information systems (PEGASIS) which organizes all sensors into a chain structure and rotates each node to communicate with the sink.
We design an efficient data-gathering system in wireless sensor networks (WSNs) with mobile agents to achieve energy- and time-efficient collection as well as intelligent monitoring to adapt to the numerous demands of users.
Today's highly efficient data-gathering and -disseminating mechanisms provoke another, rueful question: "What was privacy?" The answer may be that people could once feel confident that what others might find out about them would be treated with reasonable care and consideration, and thus would probably do them no harm.
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