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This paper proposes a fast and promising on-line routing algorithm for dynamic routing of label switched paths (LSPs) with bandwidth guarantees in MPLS networks.
Part of that is the Chariot experiment which we're doing, where we're owning fleets of transits, running shuttles and working with municipalities on some aspects of dynamic shuttles and dynamic routing, but also fixed routes at a smaller scale.
A central challenge in the design of multi-hop ad hoc networks is the development of dynamic routing protocol that can efficiently find routes between two communication nodes.
Also, the Traffic-Aware Dynamic Routing (TADR) algorithm is proposed to route packets around the congestion areas and scatter the excessive packets along multiple paths consisting of idle and under-loaded nodes.
Due to active topology and limited resources, developing a dynamic routing protocol that can efficiently find a routing path with low control overhead is very important in MANETs [3 5].
Aiming to improve the throughput of the air route network (ARN), we propose an effective local dynamic routing strategy in this paper.
Using both analysis and extensive simulations, we show that the proposed dynamic routing helps achieve the desired system performance under dynamically changing network conditions.
For supporting the dynamic routing plan more efficiently, this study has been established by integrating PSO (Particle Swarm Optimization) −based dynamic routing algorithm, self-tuning fuzzy controller, a stereo-vision detection technique and 6-DOF mathematical model into the inspection system of AUV (Autonomous Underwater Vehicle).
By obtaining the depth information in the space, the optimal route can be evaluated combining PSO (Particle Swarm Optimization -based dynamic rOptimization -based
Larger networks use dynamic routing.
A new dynamic routing algorithm is proposed.
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