Outline

  • Abstract
  • Keywords
  • I. Introduction
  • II. Background and Related Works
  • III. Adaptive Energy-Harvesting Aware Clustering Routing Protocol
  • IV. Performance Evaluation
  • V. Conclusion
  • References

رئوس مطالب

  • چکیده
  • 1. مقدمه
  • 2. پیش زمینه و کارهای مرتبط پیشین
  • 3. پروتکل مسیریابی کلاسترینگ آگاه از برداشت انرژی تطبیقی ، مدل EH-WSN
  • 4. ارزیابی و بررسی کارایی
  • 5. نتیجه

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: - - - -

Conclusions

In this paper, we summarized the unique characteristics of energy-harvesting WSNs, studied clustering scheme routing protocols especial LEACH. Base on it, we build the energy harvesting WSNs model, then we propose Adaptive Energy-Harvesting Aware Clustering (AEHAC) routing protocol for perpetual-operated EH-WSNs. The protocol elects cluster head Figure 3. Available node in EH-WSNs Figure 4. Throughput in EH-WSNs Figure 5. Regulation factor ρ changing process 746 distributed and combines with energy harvesting rate and the node residual energy making it more efficient for EH-WSNs. The AEHAC can adjust its parameter according to the network deploying environment. Simulation has shown, compared with LEACH, AEHAC not only increase the available node number, but also increase the network throughput on the dynamic balanced stage. Simulation also has shown the AEHAC has a good stability.

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