… the redundancy among sensing data. In this paper, we propose an efficient data aggregation
technique for clustering-based periodic wireless sensor networks. Further to a local …

… 2.1 Network model … 1 is used to organize sensors to achieve the task of data aggregation
for WSNs. Three types of nodes that exist hierarchically in the network were considered, that is, …

… We design algorithms for data aggregation whose time complexity and … data aggregation
can be done using minimum cost spanning tree (MST). We show that no data aggregation …

… improve the network performance. Our objective is to classify the forecasting functions that
can be used in data aggregation, and to select the optimal one under certain data distribution …

… Pattembased Data Aggregation protocol (ESPDA) for cluster-based wireless sensor networks.
… is due to data transmission [3], the proposed ESPDA reduces data transmission by not …

… Sensing (CS) based data aggregation has become an increasingly important research topic
for large scale Wireless Sensor Networks (WSNs), since conventional data … huge data traffic. …

… of transferring data is one of the significant challenges. The in-network data aggregation …
responses from the sensor nodes, it can increase the chance of receiving data packets at the …

… data aggregation scheme for wireless sensor networks. Our design for data aggregation
eliminates redundant sensor readings without using encryption and maintains data secrecy and …

… Wireless sensor networks (WSNs) usually consists of a large number of sensors which
have limited capability in terms of communication, computation and memory [ 1 ] (Akyildiz et al. …

… data aggregation (AIDA) component that fits seamlessly into the current sensor network …
With significant costs incurred from channel contention, packet header overhead, and data …