Data Window Aggregation techniques for Energy Saving in Wireless Sensor Networks

1) Sampling based techniques: By reducing the data sam- pled by sensor nodes, we decrease not only the radio subsys- tem energy consumption but also the communication cost. A lot

1) Where to aggregate is the objective of aggregation structure. This category defines how the aggregated data is routed towards the sink by using or creating a network structure,

We have pro- posed a new data aggregation scheme based on a dynamic waiting time, which uses judicious decision making policies at the aggregator nodes level in order to determine

6.16 Number of Network Interface Selection at the sensor, and number of Bluetooth scan performed at the mobile phone, in function of the number of sensors.. individual

In our solution, called SEDAN (for Secure and Efficient Data Aggregation protocol for wireless sensor Networks), each node can verify immediately the integrity of its two

écrivains flamands – comme l’a aussi fait Potvin dans son histoire littéraire – et à leurs homologues francophones, Eekhoud encourage l’apprentissage des deux langues

In this regard, preliminary results show that A-DAWF can suppress up to 90% of temporal redundant data among the considered sensor nodes by an optimal threshold of the window sizes,