energy consumption is considered as a critical issue in wireless sensor networks (wsns). batteries of sensor nodes have limited power supply which in turn limits services and applications that can be supported by them. an efcient solution to improve energy consumption and even trafc in wsns is data aggregation (da) that can reduce the number of transmissions. two main challenges for da are: (i)...

sensor networks generally consist of a very great number of sensor nodes which will be spread into a vast environment and aggregate data out of it. the sensor nodes are afflicted with some limitations as follows memory, reception, communication as well as calculation capability, and battery power. the transmission of a great amount of extra data increases data transmission and proportionally in...

while ignoring income distribution and estimating aggregate demand generally leads to aggregation bias and thus, does not reflect households’ demand properly, yet aggregation bias is rarely considered in empirical demand studies and simply is ignored in most cases. the objective of the present study is to estimate aggregation bias in households’ demand for various types of meats and to evaluate...

In WSN, data aggregation is an important process for reducing the energy consumption. We can reduce energy consumption by using the efficient technique for data aggregation. Also, achieving the reliability and robustness of transferring data is one of the major issues and challenges. in order to produce both reliability and energy efficiency, in this paper we propose to design a Mobile Sink for...

We consider the problem of efficient data aggregation and processing within wireless sensor networks (WSN). The system we propose allows monitoring and sensor data processing by injecting bytecode into the network. Additionally we present AnduIN, a system whose goal it is to decide which parts of a given query should be processed within the sensor network.

In wireless sensor network, in-network data aggregation can eliminate redundancy, improve data accuracy and thus prolong the lifetime of network. However, most of data aggregation technologies assumed that the aggregator node has been receiving all the data when it performers the aggregation operation, these methods give larger latency to the transmission of network's data and affect the accura...