مصطفى السيد أحمد إبراهيم
أستاذ مساعد
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
معلومات البحث
المؤلفون
Alaa E. S. Ahmed and Mostafa E. A. Ibrahim
الكلمات المفتاحية
Not Available
المجلة العلمية
Int. Conf. on Computer Engineering & Systems (ICCES
الناشر
IEEE
المجلد
Not Available
العدد
Not Available
الصفحات
323-328
publication.type
International
رابط البحث
Open Link
المواد المرفقة
Not Available
الملخص
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.
