Mostafa E.A. Ibrahim. Alaa E.S Ahmed. Energy-aware intelligent hybrid routing protocol for wireless sensor networks. Concurrency Computat Pract Exper, (2021), https://doi.org/10.1002/cpe.6601
Concurrency Computat Pract Exper • 2021
Publication Information
Authors
Mostafa E.A. Ibrahim; Alaa E.S Ahmed
Keywords
a* algorithm; ant colony optimization; data aggregation; routing protocols; wireless sensor networks
Journal
Concurrency Computat Pract Exper
Publisher
Wiley
Volume
Not Available
Issue
Not Available
Pages
Not Available
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
Designing a wireless sensor network (WSN) energy-aware routing protocol is a
thought-provoking mission. Thus, this article presents an energy-saving routing protocol
for WSNs. The proposed protocol considers the energy level of sensor nodes and
the distance to the base station to optimally determine the best route. It also takes
advantage of the inherent complementarity of clustering techniques. The proposed
routing scheme also exploits data aggregation to improve energy utilization and reduce
communication costs. To choose the flawless route between a source node and the
base station, ant colony optimization and A* algorithms are integrated. Finally, the performance
of the proposed routing technique is compared with those of other existing
up-to-date protocols. The results show that the proposed routing protocol outperforms
them in terms of total energy consumption, network lifetime, stability period,
and goodput.
thought-provoking mission. Thus, this article presents an energy-saving routing protocol
for WSNs. The proposed protocol considers the energy level of sensor nodes and
the distance to the base station to optimally determine the best route. It also takes
advantage of the inherent complementarity of clustering techniques. The proposed
routing scheme also exploits data aggregation to improve energy utilization and reduce
communication costs. To choose the flawless route between a source node and the
base station, ant colony optimization and A* algorithms are integrated. Finally, the performance
of the proposed routing technique is compared with those of other existing
up-to-date protocols. The results show that the proposed routing protocol outperforms
them in terms of total energy consumption, network lifetime, stability period,
and goodput.
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