JOURNAL ARTICLE

Adaptive energy-harvesting aware clustering routing protocol for Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSNs) are energy-constrained. However, recent advances in ambient energy harvesting technology have made it possible for sensor nodes to harvest energy from ambient environment and serve as a supplement or the only energy source. And most of current routing protocols are specially designed for battery-powered WSNs, may not be suitable for energy harvesting WSNs (EH-WSNs), especially for those entirely powered by harvesting energy. In this paper, we propose an Adaptive Energy Harvesting Aware Clustering (AEHAC) routing protocol for EH-WSNs, which takes node energy state into cluster head election algorithm and can adjust its parameter according to the network deploying environment. We analyze and evaluate the routing performance in terms of two metrics available node number and network throughput. Simulation results show that AEHAC maintains available nodes about 15% and networks throughput 19% more than traditional LEACH.

Keywords:
Computer science Routing protocol Wireless sensor network Computer network Energy harvesting Throughput Cluster analysis Wireless Routing Protocol Dynamic Source Routing Node (physics) Distributed computing Energy (signal processing) Link-state routing protocol Routing (electronic design automation) Wireless Engineering Telecommunications

Metrics

41
Cited By
1.75
FWCI (Field Weighted Citation Impact)
17
Refs
0.87
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT-based Smart Home Systems
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.