Title :
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
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;
Conference_Titel :
Computer Engineering and Applications (ICACEA), 2015 International Conference on Advances in
Conference_Location :
Ghaziabad
DOI :
10.1109/ICACEA.2015.7164684
