Data aggregation is a very important method to conserve energy by eliminating the inherent
redundancy of raw data in dense WSNs. Although structured approaches are particularly …

Power saving is a critical issue in wireless sensor networks since sensor nodes are battery-
powered. Data aggregation is an effective approach to save energy because the number of …

In many Internet of Things (IoT) applications, large numbers of small sensor data are
delivered in the network, which may cause heavy traffics. To reduce the number of …

Data aggregation is an efficient primitive in wireless sensor network (WSN) applications.
This paper focuses on data aggregation scheduling problem to minimize the latency. We …

Data aggregation protocols can reduce the communication cost, thereby extending the
lifetime of sensor networks. Prior works on data aggregation protocols have focused on tree …

Since sensor nodes are energy-constrained, energy saving is a critical issue in wireless
sensor networks. By reducing the number of transmissions, data aggregation is an effective …

Sensor networks, a novel paradigm in distributed wireless communication technology, have
been proposed for various applications including military surveillance and environmental …

Wireless sensor networks consist of sensor nodes with sensing and communication
capabilities. We focus on data aggregation problems in energy constrained sensor …

Since sensor nodes normally have limited resources in terms of energy, bandwidth and
computation capability, efficiency is a key design goal in sensor network research. As one of …

Different data aggregation techniques require varying amounts of energy to process raw
data. The choice of data aggregation method depends on the application requirements as …