Developing Energy Aware Distributed Aggregation Tree Technique for Wireless Sensor Networks

Authors

  • Intisar Al-Mejibli University of Information Technology and Communications (UOITC)

DOI:

https://doi.org/10.25195/ijci.v43i2.57

Keywords:

WSN, Aggregation Techniques, EADAT

Abstract

Wireless sensor network WSN consists of small sensor nodes with limited resources, which are sensing,

gathering and transmitting data to base station. Sensors of various types are deployed ubiquitously and widely in varied

environments for instance, wildlife reserves, battlefields, mobile networks and office building. Sensor nodes are having

restricted and non replenishable power resources and this is regarded as one of the main of their critical limits. All

applied techniques and protocols on sensor nodes must take into consideration their power limitation. Data aggregation

techniques are used by sensor nodes in order to minimize the power consumption by organizing the communication

among sensor nodes and eliminating the redundant of sensed data. This paper proposed lightweight modification on data

aggregation technique named Energy Aware Distributed Aggregation Tree EADAT. The main principle of this

development is using the available information in sensor nodes to pass the role of parent node among sensor nodes in

each cluster. The process of passing parent node role is based on nominating the sensor nodes which have higher power

on regular bases. A model based on tree network architecture is designed for validation purpose and is used with NS2

simulator to test the proposed development. EADAT and EADAT with proposed development are applied on the designed

model and the results were promising

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Published

2017-12-31