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Enhanced Zone-Based Energy Aware Data Collection Protocol for WSNs(E-ZEAL)
Journal of King Saud University – Computer and Information Sciences • 2020
Publication Information
Authors
Aya H. Allam , Mohamed Taha, Hala H. Zayed
Keywords
Internet of Things (IoT)
Wireless Sensor Networks (WSNs)
Routing protocols
Zone-based Energy-Aware data coLlection
(ZEAL)
Journal
Journal of King Saud University – Computer and Information Sciences
Publisher
Not Available
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
In the era of IoT, the energy consumption of sensor nodes in WSN is one of the main challenges. It is crucial
to reduce energy consumption due to the limited battery life of the sensor nodes. Recently, Zonebased
Energy-Aware data coLlection (ZEAL) routing protocol is proposed to improve energy consumption
and data delivery. In this paper, an enhancement to ZEAL is proposed to improve WSN performance in
terms of energy consumption and data delivery. Enhanced ZEAL (E-ZEAL) applies the K-means clustering
algorithm to find the optimal path for the mobile-sink node. As well, it provides better selections for subsink
nodes. The experiments are performed using the ns-3 simulator. The performance of E-ZEAL is compared
to ZEAL. E-ZEAL reduces the number of hops and distance by more than 50%, Leading to speed up
the data-collection phase by more than 30% with complete delivery of data. Moreover, E-ZEAL improves
the lifetime of the network by 30%.
to reduce energy consumption due to the limited battery life of the sensor nodes. Recently, Zonebased
Energy-Aware data coLlection (ZEAL) routing protocol is proposed to improve energy consumption
and data delivery. In this paper, an enhancement to ZEAL is proposed to improve WSN performance in
terms of energy consumption and data delivery. Enhanced ZEAL (E-ZEAL) applies the K-means clustering
algorithm to find the optimal path for the mobile-sink node. As well, it provides better selections for subsink
nodes. The experiments are performed using the ns-3 simulator. The performance of E-ZEAL is compared
to ZEAL. E-ZEAL reduces the number of hops and distance by more than 50%, Leading to speed up
the data-collection phase by more than 30% with complete delivery of data. Moreover, E-ZEAL improves
the lifetime of the network by 30%.