Mostafa Elsayed Ahmed Ibrahim
Asst. Professor
Alaa E. S. Ahmed and Mostafa E. A. Ibrahim, "Cluster-Based Energy-Aware Localization Algorithm for Wireless Sensor Networks" 11th Int. Conf. on Computer Engineering & Systems (ICCES'16), Pages 323-328, Cairo, Egypt, Dec. 2016.
Int. Conf. on Computer Engineering & Systems (ICCES • 2017
Publication Information
Authors
Alaa E. S. Ahmed and Mostafa E. A. Ibrahim
Keywords
Not Available
Journal
Int. Conf. on Computer Engineering & Systems (ICCES
Publisher
IEEE
Volume
Not Available
Issue
Not Available
Pages
323-328
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
Energy efficiency has become a main challenge in
Wireless Sensor Networks (WSNs) and their applications. Localization
is one of the indispensable stages in WSN. Localization
generally refers to the process of locating the position of one or
more node(s) in a network. This paper develops and evaluates
an improved energy aware localization algorithm in WSNs.
Clustering techniques have been intensively presented in the
literature as energy efficient techniques. The proposed approach
enhances the AlWadHA localization algorithm by integrating it
with the DUCA clustering scheme in order to save the energy
and consequently prolonging the WSN life time. The proposed
algorithm is implemented using the Castalia 3.2/OMNet++ WSN
simulator. The experimental results indicate that the proposed
technique maintains the same level of localization accuracy of
the AlWadHA algorithm while reducing the energy consumption
of the network.
Wireless Sensor Networks (WSNs) and their applications. Localization
is one of the indispensable stages in WSN. Localization
generally refers to the process of locating the position of one or
more node(s) in a network. This paper develops and evaluates
an improved energy aware localization algorithm in WSNs.
Clustering techniques have been intensively presented in the
literature as energy efficient techniques. The proposed approach
enhances the AlWadHA localization algorithm by integrating it
with the DUCA clustering scheme in order to save the energy
and consequently prolonging the WSN life time. The proposed
algorithm is implemented using the Castalia 3.2/OMNet++ WSN
simulator. The experimental results indicate that the proposed
technique maintains the same level of localization accuracy of
the AlWadHA algorithm while reducing the energy consumption
of the network.