Multi-Ant-Colony Based Multi-Path Routing Algorithm for Overlay Network
GCIS '09 Proceedings of the 2009 WRI Global Congress on Intelligent Systems - Volume 01
A novel ant-based QoS routing for mobile adhoc networks
ICUFN'09 Proceedings of the first international conference on Ubiquitous and future networks
A hybrid multi-path ant QoS routing algorithm for MANETs
WOCN'09 Proceedings of the Sixth international conference on Wireless and Optical Communications Networks
Online energy efficient routing approach for QoS-sensitive wireless sensor networks
ICOIN'09 Proceedings of the 23rd international conference on Information Networking
Novel dynamic ant genetic algorithm for QoS routing in wireless mesh networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Using game theory to analyze wireless ad hoc networks
IEEE Communications Surveys & Tutorials
Ant colony system: a cooperative learning approach to the traveling salesman problem
IEEE Transactions on Evolutionary Computation
Game theory models for IEEE 802.11 DCF in wireless ad hoc networks
IEEE Communications Magazine
A Minimum Interference Cross-Layer Routing Protocol for Mobile Ad Hoc Networks
Wireless Personal Communications: An International Journal
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In the wireless ad-hoc network management, Quality of Service (QoS) is an important issue. Along with the QoS ensuring, another desirable property is the network reliability. In data communications, multi-path routing strategy can cope with the problem of traffic overloads while balancing the network resource consumption. In this paper, we propose a new multipath routing algorithm for QoS-sensitive multimedia services. Based on the ant colony optimization technique, the proposed algorithm can establish effective multi-paths to enhance the network reliability. According to the load balancing strategy, data packets are adaptively distributed through the established paths while maintaining an acceptable level of QoS requirement. The most important feature of the proposed approach is its adaptability to current traffic conditions. Simulation results indicate the superior performance of the proposed algorithm, while other schemes cannot offer such an attractive performance balance.