Journal ArticleDOI
The performance of a hybrid routing intelligent algorithm in a mobile ad hoc network
B. Nancharaiah,B. Chandra Mohan +1 more
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A hybrid routing intelligent algorithm that has an ant colony optimisation algorithm and particle swarm optimisation (PSO) algorithm is used to improve the various metrics in MANET routing.About:
This article is published in Computers & Electrical Engineering.The article was published on 2014-05-01. It has received 33 citations till now. The article focuses on the topics: Destination-Sequenced Distance Vector routing & Hybrid routing.read more
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A Survey of Shortest-Path Algorithms.
TL;DR: This survey studies and classifies shortest-path algorithms according to the proposed taxonomy and presents the challenges and proposed solutions associated with each category in the taxonomy.
Journal ArticleDOI
QoS Routing enhancement using metaheuristic approach in mobile ad-hoc network
TL;DR: The Cuckoo Search Optimization AODV (CSO-AODV) protocol gives better QoS routing metrics, satisfying QoS constraint, and the simulation results of the proposed algorithm is superior compared to ACO, PSO, and A ODV algorithms.
Proceedings ArticleDOI
Fuzzy based energy efficient multicast routing for ad-hoc network
TL;DR: Based on the comprehensive simulation of FBEEMR using MATLAB and NS2 and comparative study of same with other existing protocols, it is observed that proposed routing protocol contributes to the performance improvements in terms of energy efficiency.
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A Hybrid Algorithm for Preserving Energy and Delay Routing in Mobile Ad-Hoc Networks
TL;DR: A new energy and delay aware routing method which combines Cellular automata (CA) with the Genetic algorithm (GA) is presented which produces a higher degree of performance than the AODV and another QoS method in terms of network lifetime and end-to-end delay.
Journal ArticleDOI
Metaheuristics in Telecommunication Systems: Network Design, Routing, and Allocation Problems
Stephanie Alvarez Fernandez,Angel A. Juan,Jesica de Armas Adrian,Daniel G. Silva,Daniel Riera Terrén +4 more
TL;DR: This paper discusses how the hybridization of metaheuristics with methodologies such as simulation and machine learning can be employed to extend the capabilities of meta heuristics when solving stochastic and dynamic COPs in the telecommunication industry.
References
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DSR: the dynamic source routing protocol for multihop wireless ad hoc networks
TL;DR: The Dynamic Source Routing protocol (DSR) is a simple and efficient routing protocol designed specifically for use in multi-hop wireless ad hoc networks of mobile nodes, and a summary of some of the simulation and testbed implementation results for the protocol is provided.
Proceedings ArticleDOI
ARA-the ant-colony based routing algorithm for MANETs
TL;DR: This paper presents a new on-demand routing algorithm for mobile, multi-hop ad-hoc networks based on swarm intelligence and especially on the ant colony based meta heuristic, which is highly adaptive, efficient and scalable.
Journal ArticleDOI
INSIGNIA: An IP-Based Quality of Service Framework for Mobile ad Hoc Networks
TL;DR: The design, implementation, and evaluation of INSIGNIA, an IP-based quality of service framework that supports adaptive services in mobile ad hoc networks, paying particular attention to the performance of the in-band signaling system, which helps counter time-varying network dynamics in support of the delivery of adaptive services.
Proceedings ArticleDOI
Self-securing ad hoc wireless networks
TL;DR: This work provides scalable, distributed authentication services in ad hoc networks, in which multiple nodes collaboratively provide authentication services for other nodes in the network, and formalizes a localized trust model that lays the foundation for the design.
A Survey of Routing Protocols in Mobile Ad Hoc Networks
Sunil Taneja,Ashwani Kush +1 more
TL;DR: This research paper provides an overview of several routing protocols for mobile ad hoc networks by presenting their characteristics, functionality, benefits and limitations and then makes their comparative analysis so to analyze their performance.
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MANET link performance using Ant Colony Optimization and Particle Swarm Optimization algorithms
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