TL;DR
This paper reviews ant colony optimization algorithms for routing in mobile ad hoc networks, highlighting their bio-inspired, self-organizing nature and comparing the performance of two variants, ARA and EARA.
Contribution
It provides a comprehensive review of ant colony-based routing algorithms for MANETs and evaluates the performance of ARA and EARA variants.
Findings
ARA outperforms EARA in certain scenarios
Ant colony algorithms adapt well to dynamic MANET topologies
Bio-inspired routing offers promising solutions for MANET challenges
Abstract
Mobile ad hoc network (MANET) is a collection of wireless mobile nodes. It dynamically forms a temporary network without using any pre existing network infrastructure or centralized administration i.e. with minimal prior planning. All nodes have routing capabilities and forward data packets to other nodes in multi-hop fashion. As the network is dynamic, the network topology continuously experiences alterations during deployment. The biggest challenge in MANETs is to find a path between communicating nodes. The considerations of the MANET environment and the nature of the mobile nodes create further complications which results in the need to develop special routing algorithms to meet these challenges. Swarm intelligence, a bio-inspired technique, which has proven to be very adaptable in other problem domains, has been applied to the MANET routing problem as it forms a good fit to the…
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Taxonomy
TopicsMobile Ad Hoc Networks · Opportunistic and Delay-Tolerant Networks · Vehicular Ad Hoc Networks (VANETs)