Department of ECE, Anna University of Technology, Coimbatore, TamilNadu, India
Department of EEE, Govt College Engineering, Salem, Tamil Nadu, India
Abstract: Major swarm intelligence research focused on reverse engineering and collective behavior’s adaptation observed in natural systems aimed at effective algorithm design for distributed optimization. Such algorithms inspired by natural systems reveal desirable properties like adaptability, scalability and robustness which are key properties in network routing, specifically wireless network routing. This paper aims to study use of biologically inspired agents for effective packet routing in wireless networks. An issue with shortest path routing like AODV is the impossibility of efficient routing as only a lone constraint is considered because other constraints are interrelated in wireless networks making routing is a multi-constraint problem. This paper proposes a hybrid optimization, using Ant Colony Optimization (ACO) and Artificial Bee Colony (ABC), for AODV routing to ensure routing decisions are based on many constraints like Link quality and hop count and also to provide an efficient routing system for wireless networks.
[V. Ponniyin Selvan, S. Senthil Kumar. A Hybrid Optimization Algorithm For Routing In Wireless Multihop Network.Life Sci J 2013;10(4s):499-504] (ISSN: 1097-8135). http://www.lifesciencesite.com. 76
Keywords: Wireless Network, AODV Routing protocol, Ant Colony Optimization, Artificial Bee Colony (ABC).