Power Reduction of Wireless Sensor Networks Using Ant Colony Optimization

Hong-Chi Shih; Shu-Chuan Chu; John Roddick; Mao-Hsiung Hung; Jeng-Shyang Pan

doi:10.1109/CASoN.2010.110

Power Reduction of Wireless Sensor Networks Using Ant Colony Optimization

Hong-Chi Shih, Shu-Chuan Chu, John Roddick, Mao-Hsiung Hung, Jeng-Shyang Pan

Research output: Contribution to conference › Paper › peer-review

1 Citation (Scopus)

Abstract

Power consumption is one of the most important problems for wireless sensor networks because of the battery limitation in each sensor. This paper presents an ant colony optimization- (ACO-) based routing algorithm to reduce power consumption. First, a grade table is built and referred to generate several possible routing paths. Then, the ACO explores these paths to reduce the power consumption of the nodes. The simulations indicate that the proposed algorithm obtains more balanced transmission among the nodes and reduces the power consumption of the routing.

Original language	English
Pages	464-467
Number of pages	4
DOIs	https://doi.org/10.1109/CASoN.2010.110
Publication status	Published - 27 Dec 2010
Event	2010 International Conference on Computational Aspects of Social Networks (CASoN 2010) - Duration: 26 Sep 2010 → …

Conference

Conference	2010 International Conference on Computational Aspects of Social Networks (CASoN 2010)
Period	26/09/10 → …

Keywords

Ant colony optimization
Power reduction
Wireless sensor network

Access to Document

10.1109/CASoN.2010.110

Link to publication in Scopus

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