Developing Energy Aware Distributed Aggregation Tree Technique for Wireless Sensor Networks
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 netw...
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| Format: | Article |
| Language: | Arabic |
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University of Information Technology and Communications
2017-12-01
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| Series: | Iraqi Journal for Computers and Informatics |
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| Online Access: | https://ijci.uoitc.edu.iq/index.php/ijci/article/view/57 |
| Summary: | 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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| ISSN: | 2313-190X 2520-4912 |