Low Energy Adaptive Routing Hierarchy Based on Differential Evolution

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International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

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VOLUME 6 , ISSUE 2 (April 2013) > List of articles

Low Energy Adaptive Routing Hierarchy Based on Differential Evolution

Xiangyuan Yin * / Zhihao Ling * / Liping Guan *

Keywords : Routing Algorithm, Differential Evolution, Cluster Head, LEACH-DE.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 6, Issue 2, Pages 523-547, DOI: https://doi.org/10.21307/ijssis-2017-553

License : (CC BY-NC-ND 4.0)

Received Date : 17-December-2012 / Accepted: 27-March-2013 / Published Online: 10-April-2013

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ABSTRACT

In recent years, wireless sensor network (WSN) is a rapidly evolving technological platform with tremendous and novel applications. Many routing protocols have been specially designed for WSN because the sensor nodes are typically battery-power. To prolong the network lifetime, power management and energy-efficient routing techniques become necessary. In large scale wireless sensor networks, hierarchical routing has the advantage of providing scalable and resource efficient solutions. To find an efficient way to decrease energy consumption and improve network lifetime, this paper proposes a centralized routing called Low-Energy Adaptive routing Hierarchy Based on Differential Evolution (LEACH-DE). Simulation results show that the proposed routing protocol outperforms other well known protocols including LEACH and LEACH-C in the aspects of reducing overall energy consumption and improving network lifetime.

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REFERENCES

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