Hybrid data aggregation algorithms with energy optimization for wireless sensor networks

Abstract

newlineRapid development in the area of communications through wireless sensor networks has attracted more attention of scientists and researchers over the last few years. Wireless sensors are small size devices equipped with radio transceivers and low power batteries. Typical features of sensor node include power, storage and low cost computational capability hardware. Wireless Sensor Networks (WSN) consists of a large number of inexpensive sensor nodes, which are deployed densely in the field to collect information and transmit it to the base station wirelessly. Since the communication needs more energy than any other operation in a sensor node, the number of transmissions has to be reduced by transmitting only the valuable information from the sensor field to the sink. Data gathering is a broad research area in wireless sensor network. Data aggregation is a very important technique which combines the data from various sensor nodes to reduce the communication overhead and energy consumption of sensor node during the process of data collection in WSNs. newline newline