Threshold Based Data Reduction for Prolonging Life of Wireless Sensor Network

Abstract

Wireless sensor network is a set of tiny elements i.e. sensors. WSN is used in the field of Health Monitoring, Civil Construction, Military Applications and Agricultural etc., for monitoring environmental parameters. The WSN is having the challenges like less processing power, less memory, less bandwidth and battery powered. The data monitored through the sensors would be sent to the sink for data processing. The data sent from sensor node can be controlled for saving the energy, as maximum energy is consumed for transmission of data and it is not possible to replace the batteries frequently. In this work threshold based and adaptive threshold based data reduction techniques with energy efficient shortest path are used for minimizing the energy of sensor node and the network. Adaptive approach saves energy and reduce data by 30% to 40% as compared to threshold based approach.

En-Route Data Filtering Technique for Maximizing Wireless Sensor Network Lifetime

“…The huge amounts of data generated and transmitted by sensors result in increasing energy consumption in WSNs. Hence, a large number of filtering and reduction techniques have been proposed [2], [3], [4], [5] in order to eliminate redundant and meaningless data and consequently ensure energyaware optimization in WSNs. Furthermore, filtering techniques can intelligently process the raw data to a size that its users can handle while not missing the essential information.…”