Open AccessNew approach for routing in mobile ad‐hoc networks based on ant colony optimisation with global positioning system
Author(s) -
Karia Deepak C.,
Godbole Vaibhav V.
Publication year - 2013
Publication title -
iet networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 21
eISSN - 2047-4962
pISSN - 2047-4954
DOI - 10.1049/iet-net.2012.0087
Subject(s) - computer science , computer network , ad hoc on demand distance vector routing , distance vector routing protocol , mobile ad hoc network , destination sequenced distance vector routing , wireless ad hoc network , wireless routing protocol , routing protocol , dynamic source routing , optimized link state routing protocol , network packet , distributed computing , ant colony optimization algorithms , node (physics) , adaptive quality of service multi hop routing , wireless , telecommunications , engineering , artificial intelligence , structural engineering
The field of mobile ad‐hoc networks (MANETs) has gained an important part of the interest of researchers and become very popular in past few years. MANETs can be used to set up a temporary mean of communication by having nodes behave as hosts and routers, with packets hopping between nodes to reach the destination node. This makes MANET suitable for rapid deployment, but because of the dynamic changes in network configurations, quickly finding the optimum route is difficult. In this study, the authors propose a biology‐inspired ant routing protocol based on ant colony optimisation called as optimised antnet global positioning system, which is based on GPS and mobile software agents modelled on ants for routing in ad‐hoc networks. The authors compare the performance of the authors protocol with Antnet, ad‐hoc on‐demand distance vector, Dynamic Source Routing (DSR) and Ad‐hoc On Demand Multipath Distance Vector (AOMDV) protocols with respect to end‐to‐end delay, average throughput, packet delivery ratio and route cost.