Edge extraction using entropy operator
Computer Vision, Graphics, and Image Processing
Multicast operation of the ad-hoc on-demand distance vector routing protocol
MobiCom '99 Proceedings of the 5th annual ACM/IEEE international conference on Mobile computing and networking
Fuzzy qos controllers in diff-serv scheduler using genetic algorithms
CIS'05 Proceedings of the 2005 international conference on Computational Intelligence and Security - Volume Part I
A QoS-guaranteed multicast routing protocol
Computer Communications
Distributed quality-of-service routing in ad hoc networks
IEEE Journal on Selected Areas in Communications
A QoS multicast routing protocol for clustering mobile ad hoc networks
Computer Communications
Performance evaluation and simulations of routing protocols in ad hoc networks
Computer Communications
QoS multicast routing algorithm in MANET: an entropy-based GA
ICIC'06 Proceedings of the 2006 international conference on Intelligent computing: Part II
Fuzzy controllers based qos routing algorithm with a multiclass scheme for ad hoc networks
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
An entropy-based stability qos routing with priority scheduler in MANET using fuzzy controllers
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
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Due to the dynamic nature of the network topology and restricted resources, quality of service (QoS) and multicast routing in MANET is a challenging task. This paper discusses the multicast routing problem with multiple QoS constraints, which may deal with the delay, bandwidth and cost metrics, and describes a network model for researching the Ad Hoc network QoS multicast routing problem. It presents an Entropy-based stability QoS Multicast Routing protocol in ad hoc network (EQMR). The key idea of EQMR algorithm is to construct the new metric-entropy and select the stability path with the help of entropy metric to reduce the number of route reconstruction so as to provide QoS guarantee in the ad hoc network. In this paper, the proof of correctness and complexity analysis of the EQMR are also given. The simulation results show that the proposed approach and parameters provide an accurate and efficient method of estimating and evaluating the route stability in dynamic mobile networks.