A Study on the Energy Balance Ant-Based Routing Algorithm for Wireless Sensor Network

Jing Han; Dong Ya Chen

doi:10.4028/www.scientific.net/AMR.986-987.2104

Paper Titles

Virtual-MIMO Cooperation Communication Based on Integrated Power Line and Wireless Communication System
p.2086

A Novel Method of Requirement Analysis for Power Communication Access Network
p.2091

A New Clustering Routing Algorithm of Wireless Sensor Network
p.2095

Research on Broadband Channel Characteristics and Hardware Testbed for Power Line Communication System
p.2099

A Study on the Energy Balance Ant-Based Routing Algorithm for Wireless Sensor Network
p.2104

Research on the Convergence Trend of Power Communication Network
p.2108

Energy Saving Routing Protocol of Wireless Sensor Network by Using Particle Swarm Optimization Algorithm
p.2113

Analysis Research of Power GIS Thematic Application Based on Web Services Technology
p.2121

Research on Nuclear Power Station Video Conferencing System from “Standard Definition” to “High Definition”
p.2127

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 986-987A Study on the Energy Balance Ant-Based Routing...

A Study on the Energy Balance Ant-Based Routing Algorithm for Wireless Sensor Network

Abstract:

How to make good use of the limited energy to maximize the network life span is an important problem of the wireless sensor network. The life of WSN depends on the minimum of the residual energy of its nodes. A fair energy balance routing algorithm is proposed which uses the Ant Colony Optimization Algorithm (ACO) to balance the network energy distribution and extend the network life. The proposed algorithm utilizes the dynamic adaptability and optimization capabilities of the Ant Colony to get a tread off between the shortest path and the fair energy balance. Simulation results show that the proposed algorithm is good at balancing the energy, and it effectively extends the span of the network life.

You might also be interested in these eBooks

Energy Research and Power Engineering 2014

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 986-987)

Pages:

2104-2107

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.986-987.2104

Citation:

Cite this paper

Online since:

July 2014

Authors:

Jing Han, Dong Ya Chen*

Keywords:

Ant-Based, Energy Balance, Routing Algorithm, Wireless Sensor Network (WSN)

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Yang J, Xu M, Zhao W．A Multi-path Routing Protocol Based on Clustering and Ant Colony Optimization for Wireless Sensor Networks[Z]．SENSORS, 2010, 10(5)：4521—4540.

DOI: 10.3390/s100504521

Google Scholar

[2] Laura R, Matteo B, Cgianluea．On Ant Routing Algorithms in Ad Hoc Networks with Critical Connectivity[R]．Ad Hoc Network Journal, 2008, 6(6)：827-859.

DOI: 10.1016/j.adhoc.2007.07.003

Google Scholar

[3] Dorigo M, Birattari M, Stutzle T．Ant Colony Optimization：Artificial Ants as a Computational Intelligence Technique[J]．IEEE Computational Intelligence Magazine, 2006, 1(40)：28-39.

DOI: 10.1109/ci-m.2006.248054

Google Scholar

[4] Hussein O H, Saadawi M J, Lee M．Ant Routing Algorithm for Mobile Ad Hoc Networks (ARAMA)[J]．Phoenix, Arizona, 2004：15—17.

DOI: 10.1109/pccc.2003.1203709

Google Scholar

[5] Di Care, Ducatelle F, Gambardella L．AntHocNet：An Adaptive Nature—Inspired Algorithm for Routing in Mobile Ad Hoc Networks [M]．European Transactions on Tele-communications, 2005, 16 (5)：443—455.

DOI: 10.1002/ett.1062

Google Scholar