Enhanced clustering ant colony routing algorithm based on swarm intelligence in wireless sensor network

Author

Verma, Ankit ; Vashist, Prem Chand

Author_Institution

Dept. of Comput. Sci. & Eng., MVN Univ., Faridabad, India

fYear

2015

fDate

19-20 March 2015

Firstpage

150

Lastpage

154

Abstract

Major issues in wireless sensor networks are performance enhancement and optimize QoS parameters. Paper proposes a novel QoS Algorithm for optimum path routing with routing matrices. Most renowned Dijkstra´s algorithm focuses on shortest path but less efficient in congested network. Afterwards, improved ant colony routing algorithm IPACR enhance coverage rate by finding optimum alternate path routing. Cluster-based ant colony routing algorithm ICACR introduced as simplified version and outperform IPACR by lifetime of network, but not efficient when Sink node is close to Source node. Enhanced cluster based algorithm ECACR is proposed in this paper, as enhancement in ICACR in terms of fast PD ratio through sensor nodes and less congested shortest path in wireless networks.

Keywords

ant colony optimisation; quality of service; swarm intelligence; telecommunication network routing; wireless sensor networks; Dijkstra´s algorithm; ECACR; ICACR; IPACR; QoS algorithm; QoS parameters; cluster-based ant colony routing algorithm; enhanced cluster based algorithm; enhnaced clustering ant colony routing algorithm; improved ant colony routing algorithm; optimum alternate path routing; quality of service; routing matrices; sensor nodes; sink node; source node; swarm intelligence; wireless sensor network; Algorithm design and analysis; Clustering algorithms; Particle swarm optimization; Routing; Routing protocols; Wireless networks; Wireless sensor networks; ant colony optimization; optimum path routing; swarm intelligence; wireless sensor networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in

Conference_Location

Ghaziabad

Type

conf

DOI

10.1109/ICACEA.2015.7164684

Filename

7164684